## Education

- Ph.D., University of California, Berkeley, 1987
- M.S., Michigan State University, 1984
- B.S., National Cheng-Kung University, Taiwan, 1980

## Research Areas and Descriptors

- Manufacturing and Automation and Mechatronics; Modeling, monitoring, and control of advanced manufacturing processes and equipment.

## Background

Dr. Liang began at Tech in 1990 as an Assistant Professor. Prior, he was an Assistant Professor at Oklahoma State University. He was named to the Bryan Professorship in 2005. He was President of Walsin-Lihwa Corporation in 2008-2010.

## Research

Full-field infrared digital thermography for the modeling of temperature distributions in we maching processes. |

Dr. Liang's research interests center around precision manufacturing processes in the context of modeling, monitoring, control, and optimization. Specific projects include hard cutting, submicron machine tools, predictive tooling for machining, and environmentally conscious processes. Much of the study aims at the development of theoretical and physical understanding of manufacturing technology with realistic industry applications. In the area of hard cutting, technology is been developed to apply deterministic-geometry cutting tools to shape and finish hardened parts. The research addresses issues related to part finish, residual stress, surface/sub-surface metallurgical damage, tool life, and machine stability.

In the area of submicron machine tools, research is underway to investigate the design and implementation principles of miniaturized cutting machines that achieves small chip size, short range, and minimum errors in thermal expansion and forced deflection. Issues are examined at the component and system levels in terms of drive mechanisms, position controls, work/tool fixtures, cutting tools, and inspection techniques. The study also provides a platform for the analysis of mechanical and thermodynamic behaviors of machining at the submicron scale.

In the area of predictive tooling for machining, Dr. Liang and his research group are developing an analytical understanding of the kinematics, dynamics, thermodynamics, and mechatronics of material removal processes such that optimization tooling can be achieved without exhaustive trial-and-error. This study aims to establish the fundamental basis for the prediction, control, and optimization of machining processes performance in terms of finish, tolerance, and part integrity.

His work on environmentally conscious machining focuses on the environmental impact associated with the use of coolants and lubricants in machining processes. The characteristics of airborne cutting fluids in terms of particulate size and concentration are analytically modeled in relation to machining process conditions, fluid material properties, and fluid application parameters.

The future direction of work will based on Dr. Liang's accumulated expertise in the field with new emphasis on machine/tool miniaturization, submicron precision manufacturing, and model-based tooling optimization.

Graduate students can find the projects intellectually challenging and academically stimulating. The research is useful in fostering the critical thinking and adaptive learning capability of graduate students who are willing to go beyond themselves. In addition, the projects all involve extensive collaboration with company partners and the research outcomes are meant to suit the needs and visions of today's manufacturing industry for greater precision and higher productivity.

## Distinctions

- American Society of Mechanical Engineers (ASME)
- Milton C. Shaw Manufacturing Research Medal, 2016
- International Manufacturing Science and Engineering Conference Chair, 2008
- International Symposium on Flexible Automation Conference Chair, 2007
- Blackall Machine Tool and Gage Award, 2005
- Fellow, 2002
- Manufacturing Engineering Division Executive Committee, 2001-2005
- Japan-U.S.A. Symposium on Flexible Automation Program Committee Chair, 2000

- Society of Manufacturing Engineers (SME)
- Fellow, 2012
- President of the North American Manufacturing Institution (NAMRC/SME), 2006
- Scientific Committee Chair, 2002-2004
- Robert B. Douglas Outstanding Young Manufacturing Engineer Award,1991

- Woodruff School Faculty Fellow, 1997-2002
- Society of Automotive Engineers Ralph R. Teetor Educational Award, 1995

## Publications

**SELECTED 3 YEAR PUBLICATIONS (revised 1-28-2019)**

**A. Refereed Journal Papers**

- Shao, Y., Fergani, O., Li, B., and Liang, S. Y., “Residual Stress Modeling in Minimum Quantity Lubrication Grinding,”
__International Journal of Advanced Manufacturing Technology__(SCI archived)__,__83 (5), pp. 743-751, 2016. - Ding, Z., Li, B., Shao, Y., and Liang, S. Y., “Phase Transition at High Heating Rate and Strain Rate during Maraging Steel C250 Grinding,”
__Materials and Manufacturing Processes__(SCI archived), Vol. 31, Issue 13, pp. 1763-1769, 2016. - Tabei, A., Shih, D. S., Garmestani, H., and Liang, S. Y., “Micro-texture Evolution in Aggressive Machining of Al Alloy 7075,”
__Materials and Manufacturing Processes__(SCI archived),**Vol. 31, Issue 13, pp. 1709-1717, 2016**. - Majora, M., Zou, P., and Liang, S. Y., “Intelligent Manufacturing System for Next Generation Factories,”
__Advances in Intelligent Systems Research__, Atlantis Press, doi: 10.2991/mse-15.2016.3, 2016. - Fergani, O., Jiang, X., Shao, Y., Welo, T., Yang
J., and Liang, S. Y., “Prediction of Residual Stress Regeneration in Multi-pass Milling,”^{, }__International Journal of Advanced Manufacturing Technology__(SCI archived), Vol. 83, Issue 5, pp 1153–1160, March 2016. - Ding, Z., Li, B., and Liang, S. Y., “Material Phase Transformation at High Heating Rate during Grinding,”
__Machining Science and Technology__(SCI archived), Vol. 20, No. 2, pp. 290-311, 2016. - Ji, X., Zhang, X. P., and Liang,S. Y., “Predicting the Effects of Cutting Fluid on Machining Force, Temperature and Residual Stress by Analytical Method,”
__International Journal of Computer Applications in Technology__(EI archived), Vol. 53, Issue 2, pp.135-141, 2016. - Guo, M., Li, B., Ding, Z., and Liang, S. Y., “Empirical Modeling of Dynamic Grinding Force based on Process Analysis,”
__International Journal of Advanced Manufacturing Technology__(SCI archived), 86(9-12), pp. 3395-3405, 2016. - Wu, C., Li, B., and Liang, S. Y., “A Critical Energy Model for Brittle-Ductile Transition in Grinding considering Wheel Speed and Chip Thickness Effects,”
__Journal of Engineering Manufacture__, (SCI archived), Vol. 230(8), pp. 1372-1380, 2016. - Tabei, A., Shih D. S., Garmestani. H., and Liang, S. Y., “Dynamic Recrystallization of Al Alloy 7075 in Turning,”
__ASME Transactions, Journal of Manufact____uring Science and Engineering__(SCI archived), 138(7), doi: 10.1115/1.4032807, 2016. - Pang, J. Z., Wu, C. J., Li, B., Zhou Y., and Liang, S. Y., “Experimental Investigation of the Real Contact Arc Length Measurement in the Cylindrical Plunge Grinding,”
__Materials Science Forum__(EI archived), doi: 10.1051/matecconf/20166705023, 2016. - Su, Y.-F., Liang, S. Y., and Chiang, K.-N., “Design and Reliability Assessment of Novel 3D-IC Packaging,”
__Journal of Mechanics__(SCI archived), 33(2), pp. 193-203, 2016. - Li, Q., Liang, S. Y., Yang, J. “Bearing Fault Pattern Recognition Using Harmonic Wavelet Sample Entropy and Hidden Markov Model,”
__Journal of Shanghai Jiaotong University__(EI archived), Vol. 50, No. 5, pp. 723-735, May 2016. - Wu, C.,Li, B.,Yang, J., and Liang, S. Y., “Experimental Investigations of Machining Characteristics of SiC in High Speed Plunge Grinding,”
__Journal of Ceramic Processing Research__(SCI archived), Vol. 17, No. 3, pp. 223-231, 2016. - Wu, C., Li, B., Yang, J., and Liang, S. Y., “Prediction of Grinding Force for Brittle Materials Considering Co-existing of Ductility and Brittleness,”
__International____Journal of Materials Processing Technology__(SCI archived), Vol. 87, Issue 5-8, pp. 1967-1975, 2016. - Li, B., Ding, Z., Xiao, J., and Liang, S. Y., “Maraging Steel 3J33 Phase Transformation during Micro-grinding,”
__Materials Letters__(SCI archived), Vol. 164, pp. 217–220, February 2016. - Li, Q., Liang, S. Y., Yang, J., and Li, B., “Long Range Dependence Prognostics for Bearing Vibration Intensity Chaotic Time Series,”
__Entropy__(SCI archived), Vol.18, No. 1, pp. 23-37, 2016. - Pan, Z., Garmestani, H., Shih, D. S., and Liang, S. Y., “Prediction of Machining-Induced Phase Transformation and Grain Growth of Ti-6Al-4V Alloy,”
__International Journal of Advanced Manufacturing Technology__(SCI archived), V. 87(1-4), pp. 859-866, October 2016 - Rajora, M., Zou, P., Yang, Y. G., Fan, Z. W., Chen, H. Y., Wu, W. C., Li, B., and Liang, S. Y., “A Split-optimization Approach for Obtaining Multiple Solutions in Single-objective Process Parameter Optimization,”
__SpringerPlus__(SCI archived), Vol. 5 (1), pp. 1424-1439, 2016. - Wu, C., Li, B., Pang, J., and Liang, S. Y., “Ductile Grinding of Silicon Carbide in High Speed Grinding,”
__Journal of Advanced Mechanical Design, Systems and Manufacturing__(SCI archived), Vol. 10, No. 2, doi: 10.1299/jamdsm.2016jamdsm0020, 2016. - Yue, C., Liu X., Ding Y., and Liang, S. Y., “Off-line Error Compensation in Corner Milling Process,”
__Proceedings of the Institution of Mechanical Engineers Part B-journal of Engineering Manufacture__(SCI archived), V. 232, pp. 1172-1181, May 2018. - Zhao, M., Ji, X., Li, B., and Liang, S. Y., ”Investigation on the Influence of Material Crystallographic Orientation on Grinding Force in the Micro-grinding of Single-crystal Copper with Single Grit,”
__International Journal of Advanced Manufacturing Technology,__(SCI archived), Vol. 90, Issue 9-12, pp. 3345-3355, 2017. - Fergani, O., Berto, F., Welo, T., Liang, S. Y., “Analytical Modeling of Residual Stress in Additive Manufacturing,”
__Fatigue & Fracture of Engineering Materials & Structures__(SCI archived), Vol. 40, No. 6, pp.971-978,2017. - Wu, C., Li, B., Liu, Y., Pang, J., and Liang, S. Y., “Strain Rate Sensitive Analysis for Grinding Damage of Brittle Materials,”
__International Journal of Advanced Manufacturing Technology__(SCI archived), March 2017, Vol. 89, Issue 5–8, pp 2221–2229,2017. - Pan, Z., Shih, D. S., Tabei, A., Garmestani, H., and Liang, S. Y., “Modeling of Ti-6Al-4V Machining Force Considering Material Microstructure Evolution,”
__International Journal of Advanced Manufacturing Technology__(SCI archived), Vol. 91, Issue 5-8, pp 2673–2680, July 2017. - Pan, Z., Lu, Y.T., Lin, Y. F., Hung, T. P., Hsu, F. C., and Liang, S. Y., “Analytical Model for Force Prediction in Laser-assisted Milling of IN718,”
__International Journal of Advanced Manufacturing Technology__(SCI archived), Vol. 90, Issue 9-12, pp. 2935-2942, June 2017. - Du, Z., Zhang, D., Hou, H., and Liang, S. Y., “Peripheral Milling Force Induced Error Compensation using Analytical Force Model and APDL Deformation Calculation,”
__International Journal of Advanced Manufacturing Technology__(SCI archived), Vol. 88, Issue 9–12, pp 3405–3417, 2017. - Lu, X., Jia, Z., Zhang, H., Liu, S., Feng, Y., and Liang, S. Y., "Tool Point Frequency Response Prediction for Micro-milling by Receptance Coupling Substructure Analysis,"
__ASME Transactions,____Journal of Manufacturing Science and Engineering__(SCI archived), Vol. 139, No. 7, pp. 1-13, 2017. - Yue, C., Liu, X., and Liang, S. Y., “A Model for Predicting Chatter Stability Considering Contact Characteristics between Milling Cutter and Workpiece,”
__International Journal of Advanced Manufacturing Technology__(SCI archived), Vol. 88, Issue 5-8, pp. 2345-2354, 2017. - Wang, L., and Liang, S. Y., “A Novel Approach of Tool Wear Evaluation,”
__Transactions of ASME, Journal of Manufacturing Science and Engineering__(SCI archived), Vol. 139 (9), doi: 10.1115/1.4037231,2017. - Lu, Y., Rajora, M., Zou, P., and Liang, S.Y.,” Physics-embedded Machine Learning: Case Study with Electrochemical Micro-Machining”,
__Machines, Special Edition____of Precision Manufacturing Processes__, Vol. 5(1), pp. 4-14, 2017. - Lu, X., Wang, F., Jia, Z., Si, L., Zhang, C., and Liang, S. Y., “A Modified Analytical Cutting Forces Prediction Model under the Tool Flank Wear Effect in Micro-milling Nickel-based Superalloy,”
__International Journal of Advanced Manufacturing Technology__(SCI archived), Vol. 91, No. 9-12, pp 2709-3716, 2017. - Fergani, O., Yousfi, M., Ding, Z., Welco, T., and Liang, S. Y., “A Physics-Based Approach to Relate Grinding Process Parameters to Tribological Behavior of Ground Surfaces,”
__International Journal of Advanced Manufacturing Technology__(SCI archived), doi:10.1007/s00170-017-0111-x, 2017. - Pan, Z., Feng, Y., Lu, Y.-T., Lin, Y.-F., Hung, T.-P., Hsu, F.-C., and Liang, S. Y., “Force Modeling of Inconel 718 Laser-assisted End Milling under Recrystallization Effects,”
__International Journal of Advanced Manufacturing Technology__(SCI archived), Vol.92, Issue 5–8, pp.2965–2974, September2017. - Pan, Z., Feng, Y., Lu, Y., Lin, Y., Hung, T., Hsu, F., Lin, C., Lu, Y., and Liang, S. Y., accepted by “Microstructure-Sensitive Flow Stress Modeling for Force Prediction in Laser assisted Milling of Inconel 718,”
__Manufacturing Review__,Vol. 4, No. 6, doi: 10.1051/mfreview/2017005, May 2017. - Wang S., Jia, Z., Lu, X., Zhang, H.,Zhang, C., and Liang, S. Y., "Simultaneous Optimization of Fixture and Cutting Parameters Based on Particle Swarm Optimization Algorithm,"
__Simulation: Transactions of the Society for Modeling and Simulation International__(SCI archived), doi: https://doi.org/10.1177/0037549717713850, 2017. - Lu, X., Jia, Z., Feng, Y., and Liang, S. Y., “Predicting the Surface Hardness of Micro-milled Nickel-base Superalloy Inconel 718,”
__International Journal of Advanced Manufacturing Technology__(SCI archived). 93(1-4), pp. 1283-1292, 2017. - Li, Q, Ji, X., and Liang, S. Y., “Incipient Fault Feature Extraction for Rotating Machinery Based on Improved AR-Minimum Entropy Deconvolution Combined with Variational Mode Decomposition Approach,”
__Entropy__(SCI archived), Vol. 19, No. 7, doi: 10.3390/e19070317, 2017. - Li, Q and Liang, S., “Incipient Fault Diagnosis of Rolling Bearing based on Impulse-step Impact Dictionary and Re-weighted Minimizing Nonconvex Penalty Lq Technique,”
__Entropy__(SCI archived), Vol. 19, No. 8, doi: 10.3390/e19080421, 2017. - Lu, X., Hu X., Jia Z., Liu M., Gao S., Qu C. and Liang S. Y. “Model for the Prediction of 3D Surface Topography and Surface Roughness in Micro-milling Inconel 718,”
__International Journal of Advanced Manufacturing Technology__(SCI archived), No. 1, pp.1-14, 2017 - Wu, C., Li, B., Liu, Y., and Liang, S. Y., “Surface Roughness Modeling for Grinding of Silicon Carbide Ceramics Considering Co-existence of Brittleness and Ductility,”
__International____Journal of Mechanical Sciences__(SCI archived), V. 133, pp. 167-177, November 2017. - Lu, X., Wang, H., Jia, Z., Feng, Y., and Liang, S. Y., “Effects of Cutting Parameters on Temperature and Temperature Prediction in Micro-milling of Inconel 718,” accepted by
__International Journal of Nanomanufacturing__(EI archived), 2017 (in print). - Liang, S.Y. and Pan, Z. “Integration of Process Mechanics and Materials Mechanics for Precision Machining,”
__Solid State Phenomena__, V. 261, pp. 9-16, August 2017. - Pan, Z., Feng, Y. and Liang, S.Y., "Material Microstructure Affected Machining: a Review,”
__Manufacturing Review__(EI archived), V. 4, pp. 5, May 2017. - Pan, Z. and Liang, S.Y., "Material Driven Machining Process Modeling,”
__Manufacturing Letters__(SCI archived), V. 14: pp. 1-5, October 2017. - Pan, Z., Shih, D.S., Garmestani, H., Rollett, A.D. and Liang, S.Y., "MTS Model Based Force Prediction for Machining of Ti-6Al-4V,”
__Journal of Advanced Mechanical Design, Systems, and Manufacturing__(SCI archived), V. 11(3), pp. JAMDSM0033, March 2017. - Pan, Z., Shih, D. S., Garmestani, H., Rollett, A., and Liang. S. Y., “MTS Based Force Modeling for Machining of Ti-6Al-4V”,
__Journal of Advanced Mechanical Design, Systems and Manufacturing__(SCI Archived), Vol. 11, No. 3, doi: 10.1299/jamdsm.2017/jamdsm0033, 2017. - Pan, Z., Feng, Y., Ji, X., and Liang, S. Y., “Turning Induced Residual Stress Prediction of AISI 4130 Considering Dynamic Recrystallization,”
__Machining Science and Technology__(SCI archived),Vol 9, pp. 1-15, 2017. - Lu, X., Jia, Z., Wang, F., Wang, S., and Liang, S. Y., " The Effect of Cutting Parameters on Surface Roughness and Surface Roughness Prediction of Curved Surfaces in Micro-Milling Inconel 718, " accepted by
__International Journal of Machining and Machinability of Materials__(EI archived), 2017 (in print). - Li, Q., and Liang, S.Y., “Degradation Trend Prognostics for Rolling Bearing Using Improved R/S Statistic Model and Fractional Brownian Motion Approach,”
__IEEE Access__(SCI archived), V. 6, pp. 21103-21114, December 2017. - Li, Q, Ji, Xia, and Liang, S. Y., “BEMD and Nonconvex Penalty Minimization Lq (q=0.5) Regular SRC for Image Recognition,” accepted by
__Pattern Recognition and Image Processing__(EI Archived), 2017 (in print). - Lu, X., Zhang, H,, Jia, Z., Feng, Y., and Liang, S. Y., “Floor Surface Roughness Model Considering Tool Vibration in the Process of Micro-milling,”
__International Journal of Advanced Manufacturing Technology__(SCI archived), No. 9-12, pp. 1-11, 2017. - Pan, Z., Feng, Y., Hung, T.-P., Jiang, Y.C., Hsu, F.-C., Wu, L.-T., Lin, C. F., Lu, Y. C., and Liang, S. Y., “Heat Affected Zone in the Laser-Assisted Milling of Inconel 718”
__Journal of Manufacturing Processes__(SCI archived), Vol. 30, p 141 – 147, Vol.30, pp. 141–147, 2017. - Davis, B., Dabrow, D., Ifju, P., Xiao
^{, }G., Liang, S. Y., and Huang, Y., “Study of the Shear Strain and Shear Strain Rate Progression during Titanium Machining,” accepted by__Transactions of ASME, Journal of Manufacturing Science and Engineering__(SCI archived), 2017 (in print). - Lu, X., Xv, Y., Wang, W., Zhou, Y., and Liang, S. Y., “Experimental Study of the Effect of Light Source Spot Size on Measure Error of PSD,” accepted by
__International Journal of Manufacturing Research__(EI archived), 2017 (in print). - Lu, X., Wang, H., Jia, Z., Feng, Y., Liang, S. Y.,“Strain HardeningProperties and the Relationship Between Strain and Hardness of Inconel 718,”accepted by
__International Journal of Materials and Structural Integrity__(EI archived), 2017 (in print). - Davis B., Dabrow, D., Newell, R., Miller, A., Schueller, J. K., Xiao, G., Liang, S. Y., Hartwig, K. T., Ruzycki, N. J., Sohn, Y., and Huang, Y., “Study of Chip Morphology and Chip Formation Mechanism during Machining of ECAE-Processed Titanium,”
__ASME Transactions, Journal of Manufacturing Science and Engineering__(SCI archived), Vol. 140 / 031008-1, March 2018. - Wang, S., Jia, Z., Lu, X., Zhang, H., Zhang, C., Liang, S. Y., “Simultaneous Optimization of Fixture and Cutting Parameters of Thin-Walled Workpieces based on Particle Swarm Optimization Algorithm,”
__Simulation__, Vol. 94, No. 1, pp. 67-76, 2018. - Wu C., Pang J., Li B. and Liang S.Y. “High Speed Grinding of HIP-SiC Ceramics on Transformation of Microscopic Features,”
__International Journal of Advanced Manufacturing Technology__(SCI Archived). 2018. (In print). - Ning, J., and Liang S. Y., “Inverse Identification of Johnson-Cook Material Constants Based on Modified Chip Formation Model and Iterative Gradient Search Using Temperature and Force Measurements,”accepted by
__International Journal of Advanced Manufacturing Technology__(SCI archived), 2018 (in print). - Ning, J., Nguyen, V., & Liang, S. Y., “Analytical Modeling of Machining Forces of Ultra-fine-grained Titanium,”
__International Journal of Advanced Manufacturing Technology__(SCI archived), 1-10, doi: 10.1007/s00170-018-2889-6, 2018. - Ning, J., and Liang, S. Y., “Model-driven Determination of Johnson-Cook Material Constants Using Temperature and Force Measurements,”
__International Journal of Advanced Manufacturing Technology__(SCI archived), V. 97(1-4), pp 1053-1060, July 2018. - Ning, J., Nguyen, V., Huang, Y., Hartwig, K.T., Liang, S.Y., “Inverse Determination of Johnson–Cook Model Constants of Ultra-fine-grained Titanium Based on Chip Formation Model and Iterative Gradient Search,”
__International Journal of Advanced Manufacturing Technology__(SCI archived) V. 99(5-8), pp.1131-1140, November 2018. - Ning. J., Liang, S. Y., “Prediction of Temperature Distribution in Orthogonal Machining Based on the Mechanics of the Cutting Process Using a Constitutive Model,”
__Journal of Manufacturing and Materials Processing__V. 2(2), pp. 37, June 2018. - Ning, J., and Liang, S. Y., “Evaluation of an Analytical Model in the Prediction of Machining Temperature of AISI 1045 Steel and AISI 4340 Steel,”
__Journal of Manufacturing and Materials Processing__V. 2(4), pp. 74, October 2018. - Zhao, M., Ji, X. , Li, B. , & Liang, S. Y. “Forces Prediction in Micro-Grinding Single-Crystal Copper Considering the Crystallographic Orientation,”
__Manufacturing Review__(ESCI Archived), Vol. 5,No, 15, doi org/10.1051/Mfreview / 2018014, 2018. - Zhao, M., Ji, X., Li, B., & Liang, S. Y. “Effect of Crystallographic Orientation on the Hardness of Polycrystalline Materials AA7075,”
__Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science__(SCI Archived), doi: org/10.1177/0954406218802935, 2018. - Zhao M, Ji X, Liang S Y. “Influence of AA7075 Crystallographic Orientation on Micro-Grinding Force,”
__Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture__(SCI Archived),doi: 0954405418803706, 2018. - Lu, X., Zhang, H. X., Jia, Z. Y., Feng, Y. X., Liang, S. Y., “Cutting Parameters Optimization for MRR Under the Constraints of Surface Roughness and Cutter Breakage in Micro-Milling Process,”
__Journal of Mechanical Science and Technology__(SCI/EI archived), V. 32, N. 7, pp. 3379-3388, July 2018. - Lu, X., Jia, Z. Y., Yang, K., Shao, P. L., Ruan, F. X., Feng, Y. X., Liang, S. Y., “Analytical Model of Work Hardening and Simulation of the Distribution of Hardening in Micro-milled Nickel-based Superalloy,”
__International Journal of Advanced Manufacturing Technology__(SCI/EI archived), V. 97, N. 9-12, pp. 3915-3923, August 2018. - Lu, X., Wang, F. R., Jia, Z. Y., Si, L. K., Liang, Y. S., “The Flank Wear Prediction in Micro-milling Inconel 718,”
__Industrial Lubrication and Tribology__(SCI/EI archived), V. 70, N. 8, pp. 1374-1380, November 2018. - Lu, X., Wang, H., Jia, Z. y., Feng, Y. X., Liang, S. Y., “Coupled Thermal and Mechanical Analyses of Micro-milling Inconel 718,”
__Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture__(SCI/EI Archived), doi: 10.1177/0954405418774586, 2018 (in print). - Lu, X., Wang, F. R., Xue, L., Feng, Y. X., Liang, S. Y., “Investigation of Material Removal Rate and Surface Roughness using Multi-objective Optimization for Micro-milling of Inconel 718,”
__Industrial Lubrication and Tribology__, (SCI indexed), 2018 (in print). - Lu, Y., Li, Q., and Liang, S.Y., “Physics-based Intelligent Prognosis for Rolling Bearing with Fault Feature Extraction,”
__The International Journal of Advanced Manufacturing Technology__(SCI Archived), Vol. 97, pp. 611-620, 2018. - Lu, Y., Xie, R., and Liang, S.Y., “Detection of Weak Fault Using Sparse Empirical Wavelet Transform for Cyclic Fault,”
__The International Journal of Advanced Manufacturing Technology__(SCI Archived), Vol. 99, pp. 1195-1201, 2018. - Lu, Y., Xie, R., and Liang, S.Y., “Adaptive Online Dictionary Learning for Bearing Fault Diagnosis,”accepted by
__The International Journal of Advanced Manufacturing Technology__(SCI Archived), doi: 10.1007/s00170-018-2902-0, 2018. - Mirkoohi, E., Bocchini, P., and Liang, S. Y., "An Analytical Modeling for Process Parameter Planning in the Machining of Ti-6Al-4V for Force Specifications Using an Inverse Analysis,”
__The International Journal of Advanced Manufacturing Technology__(SCI Archieved), 98(9-12): p. 2347-2355, 2018. - Mirkoohi, E., Ning, J., Bocchini, P., Fergani, O., Chiang, K-N., Liang, S. Y., “Thermal Modeling of Temperature Distribution in Metal Additive Manufacturing Considering Effects of Build Layers, Latent Heat, and Temperature-Sensitivity of Material Properties,”
__Journal of Manufacturing and Materials Processing__(SCI Archieved), 2(3):63, 2018. - Allen, J., Hoar, E., Mirkoohi, E., Bocchini, P., Rollet, A., Liang, S., and Garmestani, H.,“Viscoplastic Self-Consistent Modeling of High Speed Machining of Dual Phase Ti-6Al-4V with a Mechanical Threshold Stress Flow Stress Model,”Accepted by
__Algorithm Development in Materials Science and Engineering,__2018. - Liang, S., Rajora, M., Liu, X., Yue, C., Zou, P., and Wang, L., “Intelligent Manufacturing Systems: A Review,”
__International Journal of Mechanical Engineering and Robotics Research__, Vol. 7, No. 3, pp.324-330, May 2018. - Zou, P., Rajora, M. and Liang, S.Y., “A New Algorithm Based on Evolutionary Computation for Hierarchically Coupled Constraint Optimization: Methodology and Application to Assembly Job-Shop Scheduling,”
__Journal of Scheduling__(SCI archived), Vol. 21, No. 5, pp.545-563, October 2018. - Lu, Y.F., Li, Q., Pan, Z.P., and Liang, S.Y., “Prognosis of Bearing Degradation Using Gradient Variable Forgetting Factor RLS Combined with Time Series Model,”
__IEEE Access__(SCI archived), V. 6,pp. 10986-10995, March 2018. - Lu, Y.F., Li, Q., and Liang, S.Y., “Physics-Based Intelligent Prognosis for Rolling Bearing withFault Feature Extraction,”
__The International Journal of Advanced Manufacturing Technology__(SCI archived), V. 7, pp. 1-10, April 2018. - Li, Q., and Liang, S.Y., “Bearing Incipient Fault Diagnosis Based upon Maximal Spectral Kurtosis TQWT and Group Sparsity Total Variation Denoising Approach,”
__Journal of Vibroengineering__(EI archived), 20, no. 3, pp. 1409-1425, May 2018. - Li, Q., and Liang, S.Y., “Multiple Faults Detection For Rotating Machinery Based on Bi-component Sparse Low-rank Matrix Separation Approach,”
__IEEE Access__(SCI archived), V. 6, pp. 20242-20254, April 2018. - Li, Q., Hu, W., Peng, E.F., and Liang, S.Y., “Multichannel Signals Reconstruction Based on Tunable Q-factor Wavelet Transform-morphological Component Analysis and Sparse Bayesian Iteration for Rotating Machines,”
__Entropy__(SCI archived), V. 20, no.4, 263, April 2018. - Li, Q., and Liang, S.Y., “Microstructure Images Restoration of Metallic Materials Based upon KSVD and Smoothing Penalty Sparse Representation Approach,”
__Materials__(SCI archived), V. 11, no. 4, 637, April 2018. - Li,Q., Ji, X., Yang, J.G., and Liang, S.Y., “Stability Analysis for SiC Grinding Based Upon Harmonic Wavelet and Lipschitz Exponent,”accepted by
__Machining Science and Technology__(SCI archived),2018 (in print). - Li, Q., and Liang, S.Y., “An Improved Sparse Regularization Method for Weak Fault Diagnosis of Rotating Machinery Based upon Acceleration Signals,”
__IEEE Sensors Journal__(SCI archived), V.18, no.16, pp. 6693-6705, June 2018. - Li, Q., and Liang, S.Y., “Intelligent Prognostics of Degradation Trajectories for Rotating Machinery Based on Asymmetric Penalty Sparse Decomposition Model,”
__Symmetry__(SCI archived), V. 10, no. 6, 214, June 2018. - Li, Q., and Liang, S.Y., “Weak Fault Detection for Gearbox Based on Majorization–minimization and Asymmetric Nonconvex Penalty Regularization Approach,”
__Symmetry__(SCI archived), V. 10, no. 7, 243, June 2018. - Li, Q., and Liang, S.Y., “Weak Crack Detection for Gearbox Using Sparse Denoising and Decomposition Method,”accepted by
__IEEE Sensors Journal__(SCI archived), 2018 (in print). - Li, Q., and Liang, S.Y., “Degradation Trend Prediction for Rotating Machinery Using Long-range Dependence and Particle Filter Approach,”
__Algorithms__(EI archived), V. 11, no. 7, 89, June 2018. - Li, Q., and Liang, S.Y., “Incipient Fault Diagnosis for Large Reducer Taper Roller Bearings Based on Non-convex Penalty Regularization Sparse Low-rank Matrix Approach,”
__Journal of Mechanical Engineering__(EI archived), V.54, no. 23, pp. 102-111, December 2018. - Li, Q., and Ji, X., Liang, S.Y., “Bi-dimensional Empirical Mode Decomposition and Nonconvex Penalty Minimization Lq(q = 0.5) Regular Sparse Representation-based Classification for Image Recognition,”
__Pattern Recognition and Image Analysis__(EI archived), V. 28, no. 1, pp. 59-70, March 2018 - Li, Q., and Liang, S.Y., “Weak Fault Detection of Tapered Rolling Bearing Based on Penalty Regularization Approach,”
__Algorithms__(EI archived), V. 11, no.11, 184, November 2018. - Li, Q., Hu, W., Peng, E.F., and Liang, S.Y., “Weak Fault Diagnosis of Rotating Machinery Based on Augmented Huber Regularized Sparse Low-rank-matrix Approach,” accepted by
__Proceedings of the CSEE__(EI archived), 2018 (in print). - Ji X., Li B. Z., and Liang S. Y., “Analysis of Thermal and Mechanical Effectson Residual Stress in Minimum Quantity Lubrication (MQL) Machining,”
__Journal of Mechanics__(SCI archived), V. 34, pp. 41-46, February 2018. - Feng, Y., Pan, Z. and Liang, S.Y., "Temperature Prediction in Inconel 718 Milling with Microstructure Evolution,”
__The International Journal of Advanced Manufacturing Technology__(SCI archived), V. 95(9-12), pp. 4607-4621, April 2018. - Pan, Z., Liang, S.Y. and Garmestani, H., "Finite Element Simulation of Residual Stress in Machining of Ti-6Al-4V with a Microstructural Consideration,”
__Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture__(SCI archived), doi:10.1177/0954405418769927, 2018. - Pan, Z., Liang, S.Y., Garmestani, H., Shih, D. and Hoar, E., "Residual Stress Prediction Based on MTS Model During Machining of Ti-6Al-4V,”
__Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science__(SCI archived), doi: 10.1177/0954406218805122, 2018. - Pan, Z., Tabei, A., Shih, D.S., Garmestani, H. and Liang, S.Y., "The Effects of Dynamic Evolution of Microstructure on Machining Forces,”
__Proceedings of the institution of mechanical engineers, Part B: Journal of Engineering Manufacture__(SCI archived), V. 232(14): pp. 2677-2681, December 2018. - Ding, Z, Jiang, X, Guo, M, and Liang, S. Y., “Investigation of the Grinding Temperature and Energy Partition during Cylindrical Grinding,”
__International Journal of Advanced Manufacturing Technology__(SCI archived), V. 97, pp. 1767-1778, July 2018. - Feng, Y., Lu, Y.-T., Lin, Y.-F., Hung, T.-P., Hsu, F.-C., Lin, C.-F., Lu, Y-C., and Liang, S. L., “Inverse Analysis of the Cutting Force in Laser-assisted Milling on Inconel 718,”
__International Journal of Advanced Manufacturing Technology__(SCI archived), V. 96, pp. 905-914, April 2018. - Feng, Y., Hung, T.-P., Lu, Y.-T., Lin, Y.-F., Hsu, F.-C., Lin, C.-F., Lu, Y-C., and Liang, S. L., “Analytical Prediction of Temperature in Laser-assisted Milling with Laser Preheating and Machining Effects,”
__International Journal of Advanced Manufacturing Technology__(SCI archived), doi:10.1007/s00170-018-2930-9, 2018. - Feng, Y., Hung, T.-P., Lu, Y.-T., Lin, Y.-F., Hsu, F.-C., Lin, C.-F., Lu, Y-C., Lu, X., and Liang, S. L., “Inverse Analysis of Inconel 718 Laser-Assisted Milling to Achieve Machined Surface Roughness,”
__International Journal of Precision Engineering and Manufacturing__(SCI archived), V. 19, pp. 1611-1618, November 2018. - Feng, Y., Hung, T.-P., Lu, Y.-T., Lin, Y.-F., Hsu, F.-C., Lin, C.-F., Lu, Y-C., Lu, X., and Liang, S. L., “Surface Roughness Modeling of Laser-assisted End Milling Inconel 718,” accepted by
__Machining Science and Technology__(SCI archived), 2018 (in print). - Liu, X., Liu, Q., Yue, C., Wang, L., and Liang. S. Y., “Intelligent Machining Technology in Cutting Process”,
__Journal of Mechanical Engineering__(In Chinese) (EI archived), V. 54, pp. 45-61, August 2018. - Yue, C., Gao, H., Liu, X., Liang, S. Y., and Wang, L., “A Review of Chatter Vibration Research in Milling,”
__Chinese Journal of Aeronautics__(SCI archived), 2018 (in print). - Feng, Y., Hung, T.-P., Lu, Y.-T., Lin, Y.-F., Hsu, F.-C., Lin, C.-F., Lu, Y-C., and Liang, S. L., “Residual Stress Prediction in Laser-assisted Milling considering Recrystallization Effects,”
__International Journal of Advanced Manufacturing Technology__(SCI archived), doi:10.1007/s00170-018-3207-z, 2019. - Mirkoohi, E., Bocchini, P., and Liang, S. Y.,“Analytical Temperature Predictive Modeling and Non-Linear Optimization in Machining,”Accepted by
__The International Journal of Advanced Manufacturing Technology__(SCI Archieved), 2019. - Pan, Z., Shih, D.S., Garmestani, H. and Liang, S.Y., "Residual Stress Prediction for Turning of Ti-6Al-4V Considering the Microstructure Evolution,”
__Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture__(SCI archived), V. 223(1), pp. 109-117, January 2019.

**B. Referred Conference Papers**

- Rajora, M., Zou P., and Liang, S. Y., “A Hybrid RF-GA Approach to Bottleneck Machine Diagnosis and Suggestion in Parallel Machine Job-shop Scheduling,”
__Proceedings of the ASME 11th Manufacturing Science and Engineering Conference (MSEC)__(EI archived), Blacksburg, VA, June 27-July 1, 2016. - Ding, Z., Li, B., Fergani, O., Shao, Y., and Liang, S. Y., “Investigation of Temperature during Maraging Steel Micro-grinding,”
__Proceedings of____2016 International Conference on Design, Materials and Manufacturing (ICDMM)__, Kuala Lumpur, Malaysia, March 25-27, 2016, also appears in__Key Engineering Materials__(EI archived). - Li, Qing, Liang, S. Y., and Song W., “Revision of Bearing Fault Characteristic Spectrum using LMD and Interpolation Correction Algorithm,”
__Procedia CIRP on____Intelligent Manufacturing in the Knowledge Economy Era__(EI archived), Vol. 56, pp. 182-187, 2016. - Davis, B., Hartwig, T. K., Liang, S. Y., and Huang Y., “Evaluation of Chip Morphology during Machining of ECAE Titanium,”
__Proceedings of International Symposium on Flexible Automation (ISFA),__August 1-3, Cleveland, OH, 2016. - Liu, H. B., Wu, D., Liang, S. Y., Wang, Y. Q., and Sheng, X. J., “Machining-induced Surface Residual Stress Prediction Based on Cutting Action Decomposition,”
__Proceedings of the 10__^{th}__International Conference on Residual Stress__(IRCS 10), Sydney, Australia, 3-7 July, 2016. - Fergani, O., Pan, Z., Liang, S. Y., Atmani, Z., and Welo, T., “Microstructure Texture Prediction in Machining Processes,”
__Procedia CIRP__(EI archived), Vol, 46, pp. 595-598, 2016. - Pang, J. Z., Wu, C. J., Li, B., Zhou, Y., and Liang, S. Y., “Experimental Investigation of the Real Contact Arc Length Measurement in the Cylindrical Plunge Grinding,” MATEC Web of Conferences (EI archived), , V. 67, July 29, 2016,
__Proceedings of International Symposium on Materials Application and Engineering__, SMAE 2016. - Rajora, M., Zou, P., Xu, W., Jin, L., Chen, W., and Liang, S.Y., “Modelling of Decision Making in the Production of Stator Core Using a GA-ANN Approach”,
__Proceedings of International Conference on Artificial Intelligence: Techniques and Applications (AITA2016)__, (EI archived), Shanghai, China, September 25-26, 2016. - Ding, Z., Li, B., Fergani, O., Shao, Y., and Liang, S. Y., “Investigation of Temperature and Energy Partition During Maraging Steel Micro-grinding,”
__Proceeds of 9__(DET 2016), March 29 - 31, 2016, Nanjing, China, also in^{th}International Conference on Digital Enterprise Technology__Procedia CIRP__(EI archived), Vol, 56, pp. 284–288, 2016. - Zou, P., Rajora, M., Fen, Z.W., Yang, M.Y., Chen, H.Y., Wu, W.C., Li, B., and Liang, S.Y., “Electrochemical Micro-Machining Parameter Optimization based on Hybrid Neural Network and Genetic Algorithm,”
__Proceedings of International Conference on Manufacturing Technologies (ICMT2017)__, (EI archived), San Diego, January 19-21, 2017. - Fergani, O., Elmansori, M., and Liang, S. Y., “Additive Manufacturing Process Thermomechanical Signature and Residual Stress: an Analytical Approach,”
__Proceedings of the ASME 12th International Manufacturing Science and Engineering Conference__(EI archived), June 4-8, 2017, Los Angeles, 2017. - Pan, Z., Feng, Y., Ji, X., and Liang, S. Y., “Turning Force Prediction of AISI 4130 Considering Dynamic Recrystallization,”
__Proceedings of the ASME 12th International Manufacturing Science and Engineering Conference__(EI archived), June 4-8, 2017, Los Angeles, 2017. - Lu, X., Zhang, H., Jia, Z., Feng, Y., and Liang, S. Y., "A New Method for the Prediction of Micro-Milling Tool Breakage,"
__Proceedings of the____ASME 12th International Manufacturing Science and Engineering Conference__(EI archived), June 4-8, 2017, Los Angeles, 2017. - Lu, X., Wang, H., Jia, Z., Si, L., and Liang, S. Y., " The Effect of Tool Nose Corner Radius and Main Cutting Edge Radius on Micro-Milling Temperature,"
__Proceedings of the____ASME 12th International Manufacturing Science and Engineering Conference__(EI archived), June 4-8, 2017, Los Angeles, 2017. - Li, Q., Ji, X. and Liang, S.Y., “Pattern Recognition of Tool Wear in High-speed Milling Based upon Nonlinear Analysis,”
__Proceedings of IEEE International Conference on Electronics Information and Emergency Communication (IEEE-ICEIEC)__(EI archived), Macau, July 21-23, 2017. - Ayjhan, B., Kwan, C., and Liang, S. Y., “A Portable Prognostic System for Bearing Monitoring,”
__Proceedings, 14th International Symposium on Neural Networks (ISNN)__, Sapporo, Japan, June 21-23, 2017. - Wu, C.J.,Li, B. Z.,Yang, J. G., and Liang, S. Y. “Comparison of Machining Temperature in High Speed Grinding of Metallic Materials and Brittle Materials.” MATEC Web of Conferences (EI archived), v 114, July 10, 2017, 2017
__Proceedings of International Conference on Mechanical, Material and Aerospace Engineering__, 2MAE 2017. - Li, Q. and Liang, S. Y., “Incipient Multi-Fault Diagnosis of Rolling Bearing using Improved TQWT and Spare Representative Approach,”
__Proceedings of 2__(IEEE-ICSIP) (EI archived), 2017, Singapore, August4-6, 2017.^{nd}IEEE International Conference on Signal and Image Processing - Liang, S. Y. and Pan, Z., “Process and Microstructure in Materials-Affected Manufacturing,”
__Proceedings of____5th International Conference on Advanced Manufacturing Engineering and Technologies__(NEWTECH), Belgrade, Serbia, June 5-9, 2017. - Liang, S. Y. and Pan, Z., “Integration of Process Mechanics and Materials Mechanics for Precision Machining”,
__Proceedings of 9th International Congress on Precision Machining (ICPM)__, Athens, Greece, September 6-9, 2017. - Li, Q, Ji, X., and Liang, S. Y., “Physical Mechanism of Material Microstructure Evolution based upon BEMD and Image Multi-scale Entropy during Heat Treatment Process,”
__Proceedings of____IEEE 2nd Information Technology, Networking, Electronic and Automation Control Conference (IEEE-ITNEC)__(EI archived), Chengdu, China, December 15-17, 2017. - Lu, Y., Li, Q., and Liang, S. Y., “Adaptive Prognosis of Bearing Degradation Trend Based on Wavelet Decomposition Assisted ARMA Model,”
__Proceedings of____IEEE 2nd Information Technology, Networking, Electronic and Automation Control Conference (IEEE-ITNEC)__(EI archived), Chengdu, China, December 15-17, 2017. - Ayhan, B., Kwan, C., and Liang, S. Y., “An Accurate Remaining Life Prediction Algorithmfor Bearings,”
__Proceedings of____IEEE International Conference on Prognostics and Health Management (ICPHM)__, Seattle, WA, USA, June 11-13, 2018. - Ayhan, B., Kwan, C., and Liang, S. Y., “High Performance Remaining Life PredictionAlgorithms for Gearbox,”
__Proceedings of____IEEE International Conference on Prognostics and Health Management (ICPHM)__, Seattle, WA, USA, June 11-13, 2018. - Pan, Z., Feng, Y., Liang, S.Y., “Microstructural Sensitive Flow Stress Modeling of Ti-6Al-4V in the Machining Process,”
__Proceedings of ASME International Manufacturing Science and Engineering Conference MSEC 2018__(EI archived), College Station, Texas, July 2018. - Lu, X., Jia, Z., Wang, F., Wang, S., and Liang, S. Y., " The Effect of Cutting Parameters on Surface Roughness and Surface Roughness Prediction of Curved Surfaces in Micro-Milling Inconel 718, "
__Proceedings of ASME International Manufacturing Science and Engineering Conference MSEC 2018__(EI archived), College Station, Texas, July 2018. - Liu, X., Li, H., Li, M., Liang, S. Y., “Research on the Intelligent Tool Changer with Decision Tree Algorithm in Processing,”
__Proceedings,____International Symposium of Computation Numerical Control Machining__, 2018. Xi’an, China, June 3-5, 2018. - Liu, X., Gao, Hainkng, Yue., C., Wang, L., Liang, S. Y., “Analytical Prediction of Part Dynamics and Process Damping,”
__Proceedings, 51__(EI archived), Stockholm, Sweden, May 16-18, 2018.^{st}CIRP Conference on Manufacturing Systems - Zou, P., Rajora, M., Ma, M., Chen, H., Wu, W. and Liang, S.Y., “Electrochemical Micro-Machining Process Parameter Optimization Using a Neural Network-Genetic Algorithm Based Approach,”
__Proceedings of the International Conference on Manufacturing Technologies__(ICMT) (EI archived), San Diego, CA, January 19-21, 2017. - Rajora, M., Zou, P., Xu, W., Jin, L., Chen, W., & Liang, S.Y., “Prediction and Optimization of Key Performance Indicators in the Production of Stator Core Using a GA-NN Approach,”
__4__(ICMMM) (EI archived), 2017, Atlanta, GA, October 25-27.^{th}International Conference on Mechanical, Materials and Manufacturing - Feng, Y., Pan, Z., Lu, X. and Liang, S.Y. "Analytical and Numerical Predictions of Machining-Induced Residual Stress in Milling of Inconel 718 Considering Dynamic Recrystallization",
__ASME 2018 13th International Manufacturing Science and Engineering Conference__(EI archived), 2018, College Station, June 18-22, 2018. - Feng, Y., Hung, T.-P., Lu, Y.-T., Lin, Y.-F., Hsu, F.-C., Lin, C.-F., Lu, Y-C., and Liang, S. L.,” Prediction of Surface Hardness in Laser-assisted Milling” submitted to
__Proceedings of the ASME 2019 14th International Manufacturing Science and Engineering Conference, MSEC 2019__(EI archived), Erie, PA, USA., June 10-14, 2019. (under review) - Liang, S. Y., Ning, J., and Mirkoohi, E., “A Closed-form Solution for Temperature Prediction in Selective Laser Melting Considering Boundary Condition”
__2019 3rd International Conference on Advanced Manufacturing and Materials__(ICAMM 2019) (SCI archived), 2019, Beijing, May 29-31, 2019. - Lu, X. H., Wang, F. R., Yang, K., Feng, Y. X., Liang, S. Y., “An Indirect Method for the Measurement of Micro-milling Forces”, submitted to
__Proceedings of the ASME 2019 14th International Manufacturing Science and Engineering Conference, MSEC 2019__(EI archived), Erie, PA, USA., June 10-14, 2019. (under review) - Mirkoohi, E., Sievers, D.E., Liang, S. Y.,” Effect of Time Spacing and Hatching Space on Thermal Material Properties and Melt Pool Geometry in Additive Manufacturing of S316L” submitted to
__Proceedings of the ASME 2019 14th International Manufacturing Science and Engineering Conference, MSEC 2019__(EI archived), Erie, PA, USA., June 10-14, 2019. (under review)

**C. Submitted Journal Papers**

- Li, Q., Yang, J., and Liang, S. Y., “SiC Grinding Stability Analysis based upon Harmonic Wavelet and Lipschitz Exponent Methodology,” submitted to
__Machining Science and Technology__(SCI archived), under review - Zou, P., Rajora, M., and Liang, S.Y., “A Two-stage Filter Split-Optimization Approach for Obtaining Multiple Solutions with Identical Objective Value,” submitted to
__Applied Artificial Intelligence__(SCI archived), under review - Liang, S.Y., Zou, P., and Rajora, M., ”Intelligent Manufacturing System, A Review”, submitted to
__Chinese Journal of Mechanical Engineering__(English contributions SCI archived), under review - Lu, X., Jia, Z., Wang, Z., Zou, Y., and Liang, S. Y., "Comprehensive Laboratory Testing and Performance Evaluation of Chain-type Tool Magazine and ATC," submitted to
__International Journal of Industrial and Systems Engineering__(EI archived), under review - Jiang, X., Zhang, Z., Ding, D., Fergani, O., and Liang. S. Y., “Tool Overlaps Effect on Redistributed Residual Stress and Distortion Produced by the Milling Thin-walled Part,” submitted to
__International Journal of Advanced Manufacturing Technology__(SCI archived), under review - Li, Q., Ji, X., and Liang, S. Y., “OTD and Nonconvex Penalty Minimization Lq Regular for Microstructure Image Inpainting,” submitted to
__Optik__(SCI archived), under review - Lu, X., Jia, Z., Feng, Y., and Liang, S. Y., “The Effect of Cutting Parameters on Micro-hardness and the Prediction of Vickers Hardness Based on a Response Surface Methodology for Micro-milling Inconel 718,” submitted to
__Measurement__(SCI archived), under review - Zou, P., Rajora, M., and Liang, S.Y., “Obtaining Multiple Process Parameter Combinations Using a Supervised Clustering-Optimization Approach” submitted to
__International Journal of Industrial Engineering: Theory, Applications, and Practice__(SCI archived), under review - Lu, Y., Pan, Z., and Liang, S. Y., "Diagnosis and Prognosis by Recursive Least Square ARMA Model with Case Study of Bearing Vibration," submitted to
__Mechanical Systems and Signal Processing__(SCI archived), under review - Pan, Z., Shih, D. S., Rollett, A., Garmestani, H., and Liang, S. Y., “Microstructure Effects on Residual Stress Generation during Machining of Ti-6Al-4V”, submitted to
__Journal of Mechanical Engineering Science__(SCI archived), under review - Kuttolamadom, M. A., Niaki, F. A., Huang, Y., Kurfess, T., Liang, S., Mears, L., Ozel, T., Ulutan, D., and Wang, J., “State-of-the-Art Review on Machining Tool Wear Mechanisms and Modeling,” submitted to
__Machining Science and Technology__(SCI archived), under review - Ding, Z., Jiang, X., Guo, M., Fergani, O., and Liang. S. Y., “Phase Transformation Effects on Micro-grinding Forces,” submitted to
__International Journal of Mechanical Sciences__(SCI archived), under review - Li, Q., Ji, X., and Liang, S. Y., “EBSD Microstructure Image Denoising using VMD and Sparse Stein Unbiased Risk Estimator Method,” submitted to
__Chinese Journal of Electronics__(EI archived), under review - Li, Q. and Liang, S. Y., “An Improved Long Range Dependence Approach for Degradation Trend Prognostics of Rolling Bearing,” submitted to
__Mechanical Systems and Signal Processing__(SCI archived), under review - Jiang, X., Ding, Z., Liang, S. Y., and Fergani, O., “Cubic Boron Nitride Wheel Topography Effects on Maraging C250 Steel Phase Transformation and Roughness," submitted to
__Machining Science and Technology__(SCI archived), under review - Zhang,Y.,Li, B., Yang, J., and Liang, S. Y., “Modeling and Optimization of Alloy Steel 20CrMnTi Grinding Process Parameters based on Experiments Investigation,” submitted to
__International Journal of Advanced Manufacturing Technology__, (SCI archived), under review - Pan, Z.,Feng, Y., and Liang, S. L.,“FEA for Machining Induced Residual Stress Prediction of Ti-6Al-4V with A Microstructural Consideration”, submitted to
__Journal of Engineering Manufacture__(SCI archived), under review - Li, Q. and Liang, S. Y.,”A New Non-convex Regularization Approach for Weak Fault Feature Extraction of Rotating Machinery,” submitted to
__IEEE transactions on neural network and learning system__(SCI archived), under review - Lu, Y., Li, Q., Pan, Z., and Liang, S. Y., "Prognosis of Bearing Degradation using Gradient Variable Forgetting Factor RLS Combined with Time Series Model", submitted to
__IEEE Access__(SCI archived), under review - Zou, P., Rajora, M., and Liang, S.Y., “Multimodal Optimization of Job-Shop Scheduling Problems using a Clustering Generic-Algorithm Based Approach,” submitted to
__International Journal of Industrial Engineering: Theory, Applications, and Practice__(SCI indexed), under review - Lu, Y., Li, Q., and Liang, S. Y., “Physics-based Intelligent Prognosis for Rolling Bearing using RV and Energy Ratio”, submitted to
__International Journal of Advanced Manufacturing Technology__(SCI archived), under review - Rajora, M., Zou, P., and Liang, S.Y., “Multimodal Optimization of Permutation Flow-Shop Scheduling Problems Using a Clustering Genetic-Algorithm Based Approach,” submitted to
__International Journal of Industrial Engineering: Theory, Applications, and Practice__(SCI indexed), under review - Li, Q. and Liang, S. Y., ”Sparse Optimization with Non-separable Minimax Concave Penalty Regularizer and Its Application on Bearing Fault Detection,”submitted to
__Mechanical Systems and Signal Processing__(SCI archived), under review - Rajora, M., Zou, P., and Liang, S.Y., “An Improved Approach for Solving Hierarchically Coupled Constrained Optimization Problem in Simultaneous Optimization of Neural Network Structure and Weights” submitted to
__International Journal of Industrial Engineering: Theory, Applications, and Practice__(SCI indexed), under review - Lu, X., Jia, Z., Yang, K., Ruan, F., Feng, Y., and Liang, S. Y., “Analytical Model of Work Hardening and Simulation of the Distribution of Hardening in Micro-milled Nickel Base Superalloy,” submitted to
__International Journal of Advanced Manufacturing Technology__(SCI archived), under review - Lu, X., Liu, S., Jia, Z., Wen C., Xiao H., Qiao X., Feng Y., Liang, S. Y.,“Tool Point Frequency Response Function in Micro-milling Based on Rotating Timoshenko Beam,” submitted to
__Machining Science and Technology__(SCI archived), under review - Lu, X., Jia, Z., Wang, X., Liu, Y., Feng, Y., and Liang, S. Y., “Measurement and Prediction of Vibration Displacement in Micro-milling of Nickel-based Superalloy” submitted to
__Measurement__(SCI archived), under review - Wu C., Pang J., Li B. and Liang S.Y. “Determination of Grinding Chip Thickness Distribution Based on Material Removal Mode in Grinding of Silicon Carbide Ceramics” submitted to
__Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science__(SCI indexed), under review - Ning, J., Nguyen, V., Huang, Y., Hartwig K. T., and Liang, S. Y., “Constitutive Modeling of Ultra-fine-grained Titanium Flow Stress for Machining Temperature Prediction” submitted to
__International Journal of Advanced Manufacturing Technology__(SCI archived), under review - Ning, J., and Liang S. Y., “A Comparative Study of Analytical Thermal Models to Predict the Orthogonal Cutting Temperature of AISI 1045 Steel” submitted to
__International Journal of Advanced Manufacturing Technology__(SCI archived), under review - Ning, J., and Liang S. Y., “Predictive Modeling of Machining Temperatures with Force-Temperature Correlation Using Cutting Mechanics and Constitutive Relation” submitted to
__Materials__(SCI archived), under reviewNing, J., Mirkoohi, E., Dong, Y., Sievers, D. E., Garmestani, H., and Liang S. Y., “Analytical Modeling of 3D Temperature Distribution in Selective Laser Melting of Ti-6Al-4V Considering Part Boundary Conditions” submitted to__Journal of Manufacturing Processes__(SCI archived), under review - Ning, J., Sievers, D. E., Garmestani, H., and Liang, S. Y., “Analytical Modeling of in-Situ Deformation of Part and Substrate in Laser Cladding Additive Manufacturing of Inconel 625” submitted to
__Journal of Manufacturing Processes__(SCI archived), under review - Zhao M, Ji X, Liang S Y. “Force Prediction in Micro-Grinding Maraging Steel 3J33b Considering the Crystallographic Orientation and Phase Transformation,”
__International Journal of Advanced Manufacturing Technology__. (SCI archived), under review - Zhao M, Ji X, Liang S Y. “The Influence of Material Crystallographic Orientation on Grinding Temperature in the Micro Grinding AA7075,” submitted to
__Journal of manufacturing processes__(SCI archived), under review - Zhao M, Ji X, Liang S Y. “The Influence of Material Crystallographic Orientation on Residual Stress in the Micro Grinding AA7075,” submitted to Part C:
__Journal of Mechanical Engineering Science__(SCI archived), under review - Zhao M, Ji X, Liang S Y. “Micro-Grinding Temperature Prediction Considering the Effect of Crystallographic Orientation and the Strain Induced by Phase Transformation,” submitted to
__International journal of precision engineering and manufacturing__(SCI archived), under review - Lu, X. H., Jia, Z. Y., Zhang, H. X., Xue, L., Liu, M. Y., Feng, Y. X., Liang, S. Y., “Research on the Simulation of Micro-milling Inconel 718 Considering Scale Effect”, submitted to
__Journal of Manufacturing Science and Engineering, Transactions of the ASME__(SCI/EI archived), under review - Lu, X. H., Jia, Z. Y., Wang, H., Feng, Y. X., Liang, S. Y., “The Effect of Cutting Parameters on Micro-hardness and the Prediction of Vickers Hardness Based on a Response Surface Methodology for Micro-milling Inconel 718”, submitted to
__Measurement__(SCI/EI archived), under review - Lu, X. H., Jia, Z. Y., Liu, S.Q., Wen, C. K., Xiao, H. T., Qiao, X. Y., Feng, Y. X., Liang, S. Y., “Chatter Stability of Micro-Milling by Considering the Centrifugal Force and Gyroscopic Effect of the Spindle”, submitted to
__Journal of Materials Processing Technology__(SCI/EI archived), under review - Lu, X. H., Jia, Z. Y., Wang, X. X., Liu, Y. B., Feng, Y. X., Liang, S. Y., “Measurement and Prediction of Vibration Displacement in Micro-Milling of Nickel-based Superalloy”, submitted to
__Measurement__(SCI/EI archived), under review. - Lu, X. H., Wang, Y. Q., Li, J., Zhou, Y., Ren Z. J., Liang, S. Y., “Three-Dimensional Coordinate Measurement Algorithm by Optimizing BP Neural Network Based on GA”,
__Engineering Computations__(SCI/EI archived), under review - Lu, Y., Xie, R., and Liang, S.Y., “Extraction of Weak Fault Using Combined Dual-Tree Wavelet and Improved MCA for Rolling Bearings” submitted to
__Journal of Nondestructive Evaluation, Diagnostics and__Prognostics of Engineering Systems (SCI-E archived), under reviewLu, Y., Xie, R., and Liang, S.Y., “Intelligent Online Learning Diagnostic Model for Bearing Fault Detection” submitted to__The International Journal of Advanced Manufacturing Technology__(SCI archived), under review - Mirkoohi, E., Bocchini, P., and Liang, S. Y.,” Inverse Analysis of Residual Stress in Orthogonal Cutting”, submitted to
__SME Journal of Manufacturing Processes__. (SCI archived), under review - Mirkoohi, E., Ning, J., Sievers, D.E., Garmestani, H., Chiang, K-N., Liang, S. Y., “Three-Dimensional Analytical Modeling of Melt Pool Geometry Considering Hatching Space and Time Spacing in Metal Additive Manufacturing”, submitted to
__SME Journal of Manufacturing Processes__. (SCI archived), under review - Mirkoohi, E., Sievers, D.E., Garmestani, H., Liang, S. Y.,” Effects of Time Spacing, Hatching Space, and Number of Scans on Thermal Properties and Melt Pool Geometry in Selective Laser Melting”, submitted to
__The Journal of Material Processing Technology__. (SCI archived), under review - Li, Q., and Liang, S.Y., “Simulated Image Denoising for Electronic Microstructure based on VMD and Sparse Stein Unbiased Risk Estimator Algorithm,”
__Chinese journal of electronics__(EIarchived), under review - Feng, Y., Hung, T.-P., Lu, Y.-T., Lin, Y.-F., Hsu, F.-C., Lin, C.-F., Lu, Y-C., and Liang, S. L., “Flank Tool Wear Prediction of Laser-assisted Milling,” submitted to
__Journal of Manufacturing Processes__(SCI archived), under review - Gao, H., Yue, C., Liu, X., Liang, S. Y., and Wang, L., “Milling stability analysis with simultaneously considering process damping effect and material removing effect” submitted to
__Transactions of Nanjing University of Aeronautics & Astronautics__(EI archived), under review - Ding, Z., Sun, G., Jiang, X., Guo, M., and Liang, S.Y., “Predictive Modeling of Micro-grinding Force Incorporating Phase Transformation Effects” submitted to
__Journal of Manufacturing Science and Engineering__(SCI archived), under review - Lu, Y., Pan, Z., Bocchini, P., Garmestani, H., Liang, S.Y., "Grain Size Sensitive MTS Model for Ti-6Al-4V Machining Force and Residual Stress Prediction", submitted to
__The International Journal of Advanced Manufacturing Technology__(SCI archived), under review - Tabei, A., Mirkoohi, E., Garmestani, H., Liang, S. Y., “Modeling of Texture Development in Additive Manufacturing of Ni-based Superalloys” submitted to
__The Journal of Material Processing Technology__. (SCI archived), under review - Lu, Y., Pan, Z., Bocchini, P., Garmestani, H., and Liang, S.Y., “Grain Size Sensitive MTS Model for Ti-6Al-4V Machining Force and Residual Stress Prediction” submitted to
__The International Journal of Advanced Manufacturing Technology__(SCI Archived), under review - Ding, Z., Sun, G., Guo., M., Jiang, X., Li, B., Liang, S. Y., ‘’Effect of Phase Transition on the Micro-grinding Introduced Residual Stress”, submitted to
__Journal of Materials Processing Technology__(SCI archived), under review

**Patent****s**

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- Invention Disclosure: Dielectric Sensor for Process Monitoring of Thermoplastic Filament Winding,” National Science Foundation Invention Disclosure No. 93-45, 1993.
- Chinese Patent No. 201610995764.8, “Early Detection Method for Micro-milling Tools,” Inventors: Lu, X., Liang, S. Y., Jia, Z., Zhang, H., Wang, H., Wang, F., Si, L., 2016.
- Chinese Patent No. 201610140478.3, “An Electromechanical Properties Testing Apparatus for Stepping Motor,” Inventors: Liang, S. Y., Li, Q., Yang, J., 2016.
- Chinese Patent No. 201610995764.8, “Prediction of the Early Breakage of Micro-milling Cutter,” Inventors: Lu, X., Liang, S. Y., Jia, Z., Zhang, H., Wang, H., Wang, F., Si, L., 2016.
- Patent Application: “Gearbox Compound Weak Fault Diagnosis based on a Novel Sparse Separation Method,” Inventors: Qing Li, Q. and Liang, S. Y., (pending), 2017.
- Liang, S.Y., Li, Q., and Yang, J.G., “A Property Test Equipment for Stepper Motor,” No. ZL 201610140478.3, 2018.
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- Li, Q., and Liang, S.Y., “Weak Fault Diagnosis for Gearbox Using Sparse Regularization Filter and Adaptive Sparse Decomposition Method,” Application date: 2018-5-7. (pending).