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

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

Patents

  • Method and Apparatus for Dielectric Sensing in a Thermoplastic Winding Process, U. S. Patent No. 5,495,177, with J. A. Urquhart-Foster, February 27, 1996
  • Early Detection Method for Micro-milling Tools, Lu, X., Liang, S. Y., Jia, Z., Zhang, H., Wang, H., Wang, F., and Si, L., Patent # 201610995764.8, 2016.
  • An Electromechanical Properties Testing Apparatus for Stepping Motor, Liang, S. Y., Li, Q., and Yang, J., Patent # 201610140478.3, 2016.
  • Prediction of the Early Breakage of Micro-milling Cutter, Lu, X., Liang, S. Y., Jia, Z., Zhang, H., Wang, H., Wang, F., and Si, L., Patent # 201610995764.8, “2016.
  • Gearbox Compound Weak Fault Diagnosis based on a Novel Sparse Separation Method,” Qing Li, Q. and Liang, S. Y., Pending, 2017.

 

Publications

SECECTED 3 YEAR PUBLICATIONS (revised 1-1-2018)

A.  Referred Journal Articles:

1.    Fergani, O. and Liang, S. Y., “The Effect of Machining Thermo-mechanical Loading on Workpiece Average Grain Size,” International Journal of Advanced Manufacturing Technology (SCI archived), Vol. 80, Issue 1, pp. 21-29, 2015

2.    Shao, Y., Li, B., and Liang, S. Y., “Predictive Modeling of Surface Roughness in Grinding of Ceramics,” Machining Science and Technology (SCI archived), Vol. 19, Issue 2, pp. 325-338, 2015.

3.    Ji, X., Shih, A. H., Rajora, M., Shao, Y., and Liang, S. Y., “Optimization of Tensile Residual Stress on Machined Surface in MQL Turning,” Applied Mechanics and Materials(EI archived), Vols. 713-715, pp. 209-212, 2015.

4.    Zou, P., Li, B., and Liang, S. Y., “An Improved General Regression Neural Network for Prediction Based on Small Samples Data,” Applied Mechanics and Materials (EI archived), Vol. 743, pp. 646-651, 2015.

5.    Li, B., Jiang, X., Yang, J., and Liang, S. Y., “Effects of Cutting Depth on the Distortion and Redistribution of Residual Stress During the Milling of Thin-walled Part”. Journal of Materials Processing Technology (SCI archived), Vol. 216, pp. 223-233, 2015.

6.    Zhang, Y., Zou, P., Li, B., and Liang, S. Y., “Study on Optimized Principles of Process Parameters for Environmentally Friendly Machining Austenitic Stainless Steel with High Efficiency and Little Energy Consumption,” International Journal of Advanced Manufacturing Technology (SCI archived), Vol.79, pp.89-99, 2015.

7.    Yang, J., Xu, L., Lu, Z., Xiang, Q., Liu, B., and Liang, S. Y., “Textile Processing Anomaly Detection Based on Time Domain Features and GA-SVM,” Applied Mechanics and Materials(EI archived), Vol. 740, pp 706-713, 2015.

8.    Ding, Z., Li, B., and Liang, S. Y., “Phase Transformation and Residual Stress of Maraging C250 Steel during Grinding,” Materials Letters (SCI archived), Vol. 154, pp. 37-39, 2015.

9.    Shao, Y., Li, B., Chiang, K.N., and Liang, S. Y., “Physics-based Analysis of Minimum Quantity Lubrication Grinding,” International Journal of Advanced Manufacturing Technology (SCI archived), Vol. 79, Issue 9, pp. 1659-1670, 2015.

10.  Ding, Z., Li, B., and Liang, S. Y., “Maraging SteelPhase Transformation at High Strain Rate during Grinding,” International Journal of Advanced Manufacturing Technology (SCI archived), Vol. 80 (1), pp. 711-718, 2015.

11.   Wu, C., Li,B., Liang, S. Y., and Yang, J., “Experimental Investigations on Cylindrical Grinding Temperature ofSilicon Carbide,” Advanced Materials Research (EI archived), Vols. 1120-1121, pp. 1251-1256, 2015.

12.   Guo, M., Li, B., Yang, J., Li, W., and Liang, S. Y., “Active Piezoelectric Vibration Isolation System of Machine Tools,” Advances in Engineering Research (EI archived), Atlantis Press, doi:10.2991/iceem-15.2015.42, 2015.

13.   Chang, H. H., Su, Y. F., Liang, S. Y., and Chiang, K. N., “The Effect of Mechanical Stress on Electromigration Behavior,” Journal of Mechanics (SCI archived), Vol. 31, Issue 04, pp. 441-448, August 2015.

14.   Zou, P., Li, B., Yang, J. G., Shi, S., and Liang, S. Y., “Hierarchical Ant-Genetic Algorithm Based Multi-objective Intelligent Approach for Flexible Job Shop Scheduling,” Chinese Mechanical Engineering, Vol. 26 (21), pp. 2873-2884, 2015.

15.   Zou, P., Li, B., Yang, J., Shi, S., and Liang. S. Y.,“Hierarchical Ant-Genetics Algorithm Based Multi-objective Intelligent Approach for Flexible Job Shop Scheduling,” China Mechanical Engineering, in Chinese, Vol. 26(21), pp. 2873-2884, 2015.

16.   Zhang, Y., Jin, Xiang, Li, B., and Liang, S. Y.“Dynamic Model and Optimization Design Method for Spindle Systems with High-speed Ball Bearings,” Journal of Vibration and Shock (EI archived), 34 (18), pp. 57-62, 2015.

17.   Guo, M., Li, B., Yang, J., and Liang, S. Y., “Study of the Experimental Modal Analysis Method of Machine Tool Spindle System,” Journal of Vibroengineering (SCI archived), Vol. 17, Issue 6, pp. 3173-3186, 2015.

18.   Chen, P-C, Su, Y-F, Yang, S-Y, Liang, S. Y., and Chiang, K-N., “Determination of Initial Crack Strength of Silicon Die using Acoustic Emission Technique,” Journal of Electronic Materials (SCI archived), Vol 44,Issue 7, pp 2497-2506, July 2015.

19.   Ji, X., Zou, P., Li, B., Rajora, M., Shao, Y., & Liang, S. Y., “Prediction and Optimization of Residual Stresses on Machined Surface and Sub-Surface in MQL Turning”, Applied Mechanics, Mechatronics and Intelligent Systems, pp. 209-212, 2015.

20.   Tabei, A., Shih, D. S., Garmestani, H., and Liang, S. Y., “Derivation of Process Path Functions in Machining of Al Alloy 7075,” Journal of Materials Engineering and Performance (SCI archived), Volume 24,Issue 11, pp 4503-4509, November 2015.

21.   Ji, X. and Liang, S. Y., “Model-based Sensitivity Analysis of Machining-induced Residual Stress under Minimum Quantity Lubrication (MQL)”, Journal of Engineering Manufacture (SCI archived), Vol. 231, Issue 9, pp. 1528-1541, 2015.

22.   Venkatachalam, S., Li, X., Fergani, O., Yang, J. G., and Liang S. Y., “Microstructure Effects on Cutting Forces and Flow Stress in Ultra-precision Machining of Polycrystalline Brittle Materials,” ASME Transactions, Journal of Manufacturing Sciences and Engineering (SCI archived), Issue 2, Vol. 137, doi: 10.1115/1.4029648, 2015.

23.   Shao, Y., Fergani, O., Ding, Z., Li, B., Liang, S. Y., “Experimental Investigation of Residual Stress in Minimum Quantity Lubrication Grinding of AISI 1018 Steel,” ASME Journal of Manufacturing Science and Engineering (SCI archived), Vol. 138(1), doi: 10.1115/1.4029956, 2015.

24.   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.

25.   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.

26.   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.

27.   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.

28.   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.

29.   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.

30.   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.

31.   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.

32.   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.

33.   Tabei, A., Shih D. S., Garmestani. H., and Liang, S. Y., “Dynamic Recrystallization of Al Alloy 7075 in Turning,” ASME Transactions, Journal of Manufacturing Science and Engineering (SCI archived), 138(7), doi: 10.1115/1.4032807, 2016.

34.   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.

35.   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.

36.   Ji, X. Li, B. Z., and Liang, S. Y., “Analysis of Thermal and Mechanical Effects on Residual Stress in Minimum Quantity Lubrication (MQL) Machining”, Journal of Mechanics (SCI archived), 1-6. doi:10.1017/jmech.2016.14, 2016.

37.   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.

38.   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.

39.   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.

40.   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.

41.   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.

42.   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.

43.   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), Vol 87, Issue 1, pp 859–866, 2016.

44.   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.

45.   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.

46.   Yue, C., Liu X., Ding Y., and Liang, S. Y., “Off-line Error Compensation in Corner Milling Process,” Journal of Engineering Manufacture (SCI archived), doi: 10.1177/0954405416666901, 2016.

47.   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.

48.   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.

49.   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, 2017.

50.   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, 2017.

51.   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.

52.   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.

53.   Yue, C., Liang, S. Y., and Liu, X., “A Model for Predicting Chatter Stability Considering Contact Characteristics between Milling Tool and Workpiece,” International Journal of Advanced Manufacturing Technology (SCI archived), Vol. 88, Issue 5-8, pp. 2345-2354, 2017.

54.   Ji. W., Shi, J., Liu, X., 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.

55.   Lu, Y., Rajora, M., Zou, P., and Liang, S.Y.,” Physics-embedded Machine Learning: Case Study with Electrochemical Micro-Machining”, Machines, Special Editionof Precision Manufacturing Processes, Vol. 5(1), pp. 4-14, 2017.

56.   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.

57.   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): doi: 0954405417703430, 2017.

58.   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.

59.   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, 2017.

60.   Pan, Z., Feng, Y., and Liang, S. Y., “Material Microstructure Affected Machining: A Review,” Manufacturing Review,Vol. 4, No. 5, doi: 10.1051/mfreview/2017004, 2017.

61.   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, 2017.

62.   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.

63.   Pan, Z., and Liang, S. Y., ”Material Driven Machining Process Modeling”, Manufacturing Letters (EI Archived), doi: https://doi.org/10.1016/j.mfglet.2017.06.002, 2017.

64.   Pan, Z., Shih, D. S., Garmestani, H., and Liang, S. Y., “Residual Stress Prediction for Turning of Ti-6Al-4V Considering the Microstructure Evolution,” Journal of Engineering Manufacture (SCI archived), doi: https://doi.org/10.1177/0954405417712551, 2017.

65.   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.

66.   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.

67.   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.

68.   Liu, X., Liu, Q., Yue, C., Wang, L., Liang, S. Y., Wei, J., and Gao, H., “Intelligent Machining Technology in Cutting Process,”(in Chinese) accepted by Chinese Journal of Mechanical Engineering (Chinese contributions EI archived), 2017 (in print)

69.   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,” InternationalJournal of Mechanical Sciences(SCI archived), V. 133, pp. 167-177, November 2017.

70.   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)

71.   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.

72.   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.

73.   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)

74.   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,” accepted by International Journal of Advanced Manufacturing Technology (SCI archived), 2017 (in print)

75.   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)

76.   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,” accepted by International Journal of Advanced Manufacturing Technology (SCI archived), 2017 (in print)

77.   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.

78.   Li, Q and Liang, S. Y., “Bearing Incipient Fault Diagnosis based upon Maximal Spectral Kurtosis TQWT and Group Sparsity Total Variation de-noising Approach,” accepted by Journal of Vibroengineering (SCI archived), 2017 (in print)

79.   Li, Q. and Liang, S. Y., “Incipient Fault Diagnosis for Large Reducer Taper Roller Bearings Based on Non-convex Regularization Sparse Low-rank Matrix Approach,” accepted by Chinese Journal of Mechanical Engineering (EI archived), 2017 (in print)

80.   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)

81.   Feng, Y., Pan, Z., and Liang, S. Y., “Temperature Prediction in Inconel 718 Milling with Microstructure Evolution,” accepted byInternational Journal of Advanced Manufacturing Technology (SCI archived), 2017 (in print)

82.   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)

83.   Lu, X., Wang, H., Jia, Z., Feng, Y., Liang, S. Y.,“Strain HardeningProperties and the Relationship Between Strain and Hardness of Inconel 718 ,”accepted byInternational Journal of Manufacturing Research (EI archived), 2017 (in print)

84.   Li, Q. and Liang, S. Y., “Degradation Trend Prognostics for Rolling Bearing using Improved R/S Statistic and Fractional Brownian Motion Approach,” accepted by IEEE Access (SCI archived), 2017 (in print)

85.   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.

 

B.  Referred Conference Articles

1.    Shao, Y., Fergani, O., Welo, T., and Liang, S. Y., “Prediction of Residual Stress in Multi-step Orthogonal Cutting,” Proceedings of the ASME Manufacturing Science and Engineering Conference (MSEC) (EI archived), Charlotte NC, June 8-12, 2015.

2.    Guo, M., Li, B., Yang, J., and Liang, S. Y., “Influence of Dynamic Force on Vibration of  Micro-machine Tool Spindle,” Proceedings of International Conference on Advanced Materials, Structures and Mechanical Engineering (ICAMSME) (EI archived), Incheon, Korea, May 29-31, 2015.

3.    Ding, Z., Li, B., Pan, Z., Liang, S. Y., “Experimental Investigation of Residual Stress in Micro-hole Grinding of Maraging Steel,” Proceedings of International Conference on Advanced Materials, Structures and Mechanical Engineering (ICAMSME),(EI archived), Incheon, South-Korea, May 29-31, 2015.

4.    Tabei, A., Shih, D. S., Garmestani, H., and Liang, S. Y., “Effects of Machining on the Microstructure of Aluminum Alloy 7075,” Proceedings of 3rd International Conference on Applied Mechanics, Mechatronics and Intelligent System (AMMIS 2015),Nanjing, China, June 19-20, 2015.

5.    Ji, X., Rajora, M., Shao, Y., Zou, P., Li, B., and Liang, S. Y., “Prediction and Optimization of Residual Stresses on Machined Surface and Sub-Surface in MQL Turning,” Proceedings of 3rd International Conference on Applied Mechanics, Mechatronics and Intelligent System (AMMIS 2015), Nanjing, China, June 19-20, pp. 93-99, 2015.

6.    Liang, S. Y., Rajora, M., and Zou P., “Intelligent Manufacturing System for Next Generation Factories”Proceedings of 6th International Conference on Mechanical Science and Engineering (ICMSE2015), Qingdao, China, July 17-19, 2015.

7.    Rajora, M., Zou P., and Liang, S. Y., “Research on Intelligent Systems for Energy Engineering,” Proceedings of International Conference on Energy and Mechanical Engineering (eme2015), pp. 18-26, Wuhan, China, Oct 17-18, 2015.

8.    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.

9.    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).

10.   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.

11.   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.

12.   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 10th International Conference on Residual Stress (IRCS 10), 3-7 July, 2016, Sydney, Australia.

13.   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.

14.   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.

15.   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.

16.   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 9th International Conference on Digital Enterprise Technology (DET 2016), March 29 - 31, 2016, Nanjing, China, also in Procedia CIRP (EI archived), Vol, 56, pp. 284–288, 2016.

17.   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.

18.   Fergani, O., Elmansori, M., and Liang, S. Y., “Additive Manufacturing Process Thermomechanical Signature and Residual Stress: an Analytical Approach,” accepted by Proceedings of the ASME 12th International Manufacturing Science and Engineering Conference (EI archived), June 4-8, 2017, Los Angeles, 2017.

19.   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.

20.   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.

21.   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.

22.   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.

23.   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.

24.   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.

25.   Li, Q. and Liang, S. Y., “Incipient Multi-Fault Diagnosis of Rolling Bearing using Improved TQWT and Spare Representative Approach,” Proceedings of 2nd IEEE International Conference on Signal and Image Processing (IEEE-ICSIP) (EI archived), 2017, Singapore, August4-6, 2017.

26.   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.

27.   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.

28.   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.

29.   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.

30.   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.

31.   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.

32.   Pan, Z., Feng, Y., Liang, S.Y., “Microstructural Sensitive Flow Stress Modeling of Ti-6Al-4V in the Machining Process,” submitted to Proceedings of ASME 2018 International Manufacturing Science and Engineering Conference MSEC 2018 (EI archived),(under review)

33.   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, " Submitted to ASME 2018 MESC (EI archived), (under review)

 

C.  Submitted Journal Articles:

1.    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), 2016 (under review)

2.    Zhao, M., Ji, X., Li, B., and Liang, S. Y., “Force Variation with the Varying Crystallographic Orientation in Micro-Grinding Single Crystal Copper,” submitted to Journal of Manufacturing Processes(SCI archived), 2017 (under review)

3.    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), 2017 (under review)

4.    Zhao, M., Ji, X., Li, B., and Liang, S. Y., “The Effect of Crystal Orientation on the Polycrystalline Materials Flow Stress,”submitted to Journal of The Minerals, Metals & Materials Society (JOM) (SCI archived), 2017 (under review)

5.    Liang, S.Y., Zou, P., and Rajora, M., ”Intelligent Manufacturing System, A Review”, submitted toChinese Journal of Mechanical Engineering (English contributions SCI archived), 2016 (under review)

6.    Zou, P., Rajora, M., and Liang, S. Y., “A New Algorithm Based on Evolutionary Computation for Hierarchically Coupled Constrained Optimization: Methodology and Application to Assembly Job-Shop Scheduling”, submitted to Journal of Scheduling (SCI archived), 2016. (under review)

7.    Lu, X., Jia, Z., Zou, Y., Han, P., and Liang, S. Y., "Comprehensive Performance Testing System for Chain-Type Magazine And ATC," submitted to Chinese Journal of Mechanical Engineering (EI archived), 2017 (under review). (In Chinese)

8.    Lu, X., Zhang, H., Jia, Z., Feng, Y., and Liang, S. Y., "Cutting Parameters Optimization for MRR under the Constraints of Surface Roughness and Cutter Breakage in Micro-milling Process" submitted to Machining Science and Technology (SCI archived), 2017 (under review)

9.    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), 2017 (under review)

10.   Li, Q., Ji, X., and Liang, S. Y., “OTD and Nonconvex Penalty Minimization Lq Regular for Microstructure Image Inpainting,” submitted to Optik (SCI archived), 2017 (under review)

11.   Pan, Z., Feng, Y., and Liang, S.Y., “FEA for Machining Induced Residual Stress Prediction of Ti-6Al-4V with A Microstructural Consideration,” submitted to Proceedings of the Institution of Mechanical Engineers, Part B, Journal of Engineering Manufacture(SCI archived), 2017 (under review)

12.   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), 2017 (under review)

13.   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), 2017 (under review)

14.   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), 2017 (under review)

15.   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), 2017 (under review)

16.   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, 2017 (under review)

17.   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), 2017 (under review)

18.   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), 2017 (under review)

19.   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), 2017 (under review)

20.   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), 2017 (under review)

21.   Lu, X., Wang, H., Jia, Z., Feng, Y., Liang, and Steven S. Y., “Coupled Thermal and Mechanical Analyses of Micro-milling Inconel 718,” submitted to Journal of Engineering Manufacture(SCI archived), 2017 (under review)

22.   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), 2017 (under review)

23.   Li, Q. and Liang, S. Y., “Multiple faults Detection for Rotating Machinery based on Bi-component Sparse Low-rank Matrix Separation Approach,” submitted to IEEE Access (SCI archived), 2017 (under review)

24.   Zhao, M., Ji, X., and Liang, S. Y., “Influence of AA7075 Crystallographic Orientation on Micro-grinding Forces,” submitted to Journal of Material Science and Technology (JMST) (SCI archived), 2017 (under review)

25.   Ning, J. and Liang, S. Y., “Model-driven Determination of Johnson Cook Material Constants with Temperature and Force Measurements,” submitted to International Journal of Advanced Manufacturing Technology (SCI archived), 2017 (under review)

26.   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,” submitted to International Journal of Advanced Manufacturing Technology (SCI archived), 2017 (under review)

27.   Zhao, M., Ji, X., and Liang, S. Y., “The Influence of Material Crystallographic Orientation on Grinding Temperature in the Micro Grinding AA7075,” submitted to Journal of Engineering Manufacturing (SCI archived), 2013 (under review)

28.   Ning, J. and Liang, S. Y., “Inverse Identification of Johnson Cook Model Constants Based on Modified Chip Formation Model and Iterative Gradient Search Method,” submitted to Journal of Manufacturing Science and Engineering, Transactions of the ASME (SCI archived), 2017 (under review)

29.   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), 2017 (under review)

30.   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), 2017 (under review)

31.   Ning, J., Nguyen, V., Huang, Y., Hartwig, K. T., andLiang, S. Y.,“Inverse Determination of Johnson Cook Material Constants of UFG Ti Based on Modified Chip Formation Model and Iterative Gradient Search Method,” submitted to Experimental Mechanics (SCI archived), 2017 (under review).

32.   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), 2017 (under review)

33.   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), 2017 (under review)

34.   Ding, Z., Jiang, X., Guo, M., and Liang. S. Y., “Investigation of the grinding temperature and energy partition during high-speed cylindrical grinding”, submitted to The International Journal of Advanced Manufacturing Technology (SCI archived), 2017 (under review)

35.   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), 2017 (under review)

36.   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), 2017 (under review)

37.   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), 2017 (under review)

38.   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), 2017 (under review)