Education

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

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

Dr. Liang's research interests focus on precision manufacturing processes in the context of modeling, monitoring, control, and optimization.  Specifically, his work has been devoted to physics-based analysis and predictive modeling of metal machining and additive manufacturing, with emphasis on materials-driven processing.  It addresses the materials microstructural response to process-induced thermal-mechanical strain, stress, and heat distributions germane to part properties and performance, thus rendering a deeper insight into the manufacturing process physics as well as a scientific foundation to support process planning and optimization for effectiveness and productivity.

 
Full-field infrared digital thermography in wet machining

Full-field infrared digital
thermography in wet machining
In the field of precision machining, Dr. Liang’s research has centered on predictive modeling of shear straining, thermal kinematics, and material constitutives to apprehend the coupling of thermal and mechanical loadings and the related materials behavior evolutions.  The study has shed lights on the effects of machining and grinding parameters, tool geometries, and lubrication condition on the dynamics of velocity, deformation, stress, and temperature profiles.  It has examined the microstructural aspects of recrystallization, grain growth, texture variation, and phase field change in machining, thus offering a better understanding of the fundamental mechanisms that govern the machined part performance of tolerance, strength, modulus, hardness, and endurance, in addition to process effectiveness attributes of machinability, tool efficiency, and environmental compatibility.
 

Temperature gradients in Ti64 additive manufacturing

Temperature gradients in Ti64 
additive manufacturing
In the field of metal additive manufacturing, Dr. Liang’s work has developed physics-based analytical modeling flanked by computational mechanics of materials to quantify the thermodynamics, heat-transfer, and materials thermo-physical behaviors in powder bed and powder feed processes.  Aiming at a scientific scope and engineering applicability far beyond experimentation and finite element iteration numerics, closed-form analytical solutions have been established by integrating semi-infinite medium solutions with boundary heat transfers for temperature and thermal stress distributions.  The corresponding build residual stress, microstructure, distortion, porosity, and mechanical properties are expressed as explicit functions of process parameters and powder properties, factoring in the effects of scan strategy and powder size statistical distributions.
 

Thermal conductivity profile in Ti64 additive manufacturing

Thermal conductivity profile in Ti64 
additive manufacturing

Much of Dr. Liang’s studies have bonded together materials science and mechanical manufacturing engineering to provide clearer linkages between the manufacturing process condition, material microstructures, and the part properties and functionalities.  Dr. Liang’s research program has been sponsored largely by federal agencies, national laboratories, along with industry sectors of aerospace, automotive, and energy to provide fundamental science and engineering with tangible application relevance.

  • American Society of Mechanical Engineers (ASME)
    • Milton C. Shaw Manufacturing Research Medal, 2016
    • Dedicated Service Award, Manufacturing Engineering Division, 2014
    • International Manufacturing Science and Engineering Conference  Chair, 2008
    • International Symposium on Flexible Automation Conference Chair, 2007
    • Outstanding Service Award, 2007
    • Blackall Machine Tool and Gage Award, 2005
    • Manufacturing Engineering Division, Chair, 2005
    • Manufacturing Engineering Division Executive Committee, 2001-2005
    • Fellow, 2002
    • Japan-U.S.A. Symposium on Flexible Automation Program Committee Chair, 2000
  • Society of Manufacturing Engineers (SME)
    • Gold Medal, 2021
    • Most Influential Professor in Smart Manufacturing, 2020
    • Outstanding Lifetime Service Award of NAMRI/SME, 2021
    • 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
  • Academy of Engineering and Technology (AET), Fellow, 2020
  • Woodruff School Faculty Fellow, 1997-2002
  • Society of Automotive Engineers Ralph R. Teetor Educational Award, 1995

Publications

SELECTED RECENT 3-YEAR (2020-2022) PUBLICATIONS (revised 1/1/2023)

A. Referred Journal Papers

  1. 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,” Journal of Manufacturing Processes (SCI listed), Vol.49, pp. 135-140, January 2020.
  2. Mahdavi, M., Mirkoohi, E., Hoar, E., Liang, S. Y., and Garmestani, H., "Prediction of the Deformation Behavior of a Selective Laser Melted Ti-6Al-4V Alloy as a Function of Process Parameters," International Journal of Advanced Manufacturing Technology (SCI list), Vol. 107, pp. 4069-4076, April, 2020.
  3. Feng, Y., Hsu, F.-C., Lu, Y.-T., Lin, Y.-F., Lin, C.-T., Lin, C.-F., Lu, Y.-C., Lu, X., and Liang, S. Y., “Surface Roughness Prediction in Ultrasonic vibration-assisted Milling,” Journal of Advanced Mechanical Design, Systems, and Manufacturing (SCI listed), Vol. 14, No. 4, doi: 10.1299/jamdsm.2020jamdsm0063, 2020.
  4. Hao, X., Yue, C., Chen, Z., Liu, X., Liang, S. Y., Wang, L., and Yan, F. “Research on TANH Material Constitutive Model Based on Analytical Method,” Journal of Mechanical Engineering (In Chinese) (EI listed), Vol. 56, No. 9, pp. 252-264, May 2020.
  5. Li, Q., Zuo, M. J., and Liang, S. Y., “Prognosis of Bearing Degeneration using Adaptive Quaternion Least Mean Biquadrate under Framework of Hypercomplex Data,” IEEE Sensors Journal (SCI listed), Vol. 20, No. 5, pp. 2659-2670, 2020.
  6. Lu, Y., Wang, Z., Xie, R., and Liang, S. Y., “Bayesian Optimized Deep Convolutional Network for Bearing Diagnosis,” The International Journal of Advanced Manufacturing Technology (SCI listed), Vol. 108, pp. 313-322, 2020.
  7. Yang, C. C., Su, Y. F., Liang, S. Y., and Chiang, K.-N., “Simulation of Wire Bonding Process Using Explicit FEM with ALE Remeshing Technology,” Journal of Mechanics (SCI listed), doi: 10.1017/jmech.2019.25, Vol. 36, No. 1, February 2020.
  8. Ning, J., Sievers, D.E., Garmestani, H. and Liang, S.Y., “Analytical Modeling of in-process Temperature in Powder Feed Metal Additive Manufacturing considering Heat Transfer Boundary Condition,” International Journal of Precision Engineering and Manufacturing-Green Technology (SCI listed), V. 7, pp.585-593, May 2020.
  9. Lu, Y., Xie, R., and Liang, S. Y., “CEEMD-assisted Kernel Support Vector Machines for Bearing Diagnosis”, The International Journal of Advanced Manufacturing Technology (SCI listed), Vol. 106, Issue 7-8, pp. 3063-3070, 2020.
  10. Ji, X., Mirkoohi, E., Ning, J., and Liang, S. Y., "Analytical Modeling of Post-Printing Grain Size in Metal Additive Manufacturing," Optics and Lasers in Engineering (SCI listed), Vol. 124, doi: https://doi.org/10.1016/j.optlaseng.2019.105805, 2020.
  11. Li, Q., Zuo, M. J., and Liang, S. Y., “False Lipschitz Penalty Sparse Low-Rank Matrix (SLRM) and Chaotic Bionic Optimization for Prognosis of Bearing Degradation,” IEEE Transactions on Reliability (SCI listed), doi: 0.1109/TR.2020.2969176, 2020.
  12. Ning, J., Sievers, D. E., Garmestani, H., and Liang, S. Y., “Analytical Modeling of Part Porosity in Metal Additive Manufacturing,” International Journal of Mechanical Sciences (SCI listed), doi: https://doi.org/10.1016/j.ijmecsci.2020. Vol. 172, 15, 105428, 2020.
  13. Li, F., Li, X., Wang, T., Rong, Y., and Liang, S. Y., "In-process Residual Stresses Regulation During Grinding through Induction Heating with Magnetic Flux Concentrator," International Journal of Mechanical Sciences (SCI listed), Vol. 172, doi: 10.1016/j.ijmecsci.2019.105393, 2020.
  14. Mirkoohi, E., Dobbs, J. R., and Liang, S. Y., “Analytical Modeling of Residual Stress in Direct Metal Deposition Considering Scan Strategy,” The International Journal of Advanced Manufacturing Technology (SCI listed), doi: https://doi.org/10.1007/s00170-019-04919-0, 2020.
  15. Ding, Z., Sun, G., Guo, M., Jiang, X., Li, B., Liang, S. Y., ‘’Effect of Phase Transition on Micro-grinding Introduced Residual Stress”, Journal of Materials Processing Technology (SCI listed), doi: https://doi.org/10.1016/j.jmatprotec.2020.116647, 2020.
  16. Wang Z., Liu, X., Li M., Liang S. Y, Wang, L., Li, Y., Meng B., “Intelligent Monitoring and Control Technology of Cutting Chatter,” Journal of Mechanical Engineering (in Chinese) (EI listed), Vol. 56, No. 24, 2020.
  17. Zhao, M., Ji, X. and Liang, S. Y., “Phase Transformation Prediction Considering Crystallographic Orientation in Microgrinding Multiphase Material,” Transactions of ASME, Journal of Manufacturing Science and Engineering (SCI listed), doi: https://doi.org/10.1115/1.4047492, Vol. 142(10): 104501, 2020.
  18. Ning, J., Praniewicz, M., Wang, W., Dobbs, J. R., and Liang, S. Y., “Analytical Modeling of Part Distortion in Metal Additive Manufacturing,” International Journal of Advanced Manufacturing Technology (SCI listed), doi: https://doi.org/10.1007/s00170-020-05065-8, 2020.
  19. Mirkoohi, E., Tran, H. C., Lo, Y. L., Chang, Y. C., Lin, H. Y., and Liang, S. Y., “Analytical Mechanics Modeling of Residual Stress in Laser Powder Bed Considering Flow Softening and Hardening,” The International Journal of Advanced Manufacturing Technology (SCI listed), Vo. 107, pp. 4159-4172, 2020.
  20. Zhao, Z., Liu, X., Yue, C., Zhang H., Li, R., and Liang, S. Y., “Time-varying Analytical Model of Ball-end Milling Tool Wear in Surface Milling,” International Journal of Advanced Manufacturing Technology (SCI listed), Vol. 108, No. 3, pp. 1109–1123, May 2020.
  21. Ning, J., Wang, W., Ning, X., Sievers, D. E., Garmestani, H., Liang, S. Y., “Analytical Thermal Modeling of Powder Bed Metal Additive Manufacturing Considering Powder Size Variation and Packing,” Materials (SCI Listed), Vol. 13, No. 8, doi: 10.3390/ma13081988, 2020.
  22. Zhang M., Liu, X., Yue, C., Liang, S. Y., Li H., Liu Z., “Study on Constitutive Model of Titanium Alloy with Strain-temperature Coupling and High Temperature Dynamic Crystallization,” accepted by Mechanical Science and Technology for Aerospace Engineering (in Chinese), 2020.
  23. Zhao, Z., Liu, X., Yue, C., Li, R., Zhang H., and Liang, S. Y., “Tool Quality Life during Ball End Milling of Titanium Alloy Based on Tool Wear and Surface Roughness Models,” Applied Sciences (SCI listed), doi:10.3390/app10093316, Vol. 10, No. 9, 3316, May 2020.
  24. Mirkoohi, E., Tran, H. C., Lo, Y. L., Chang, Y. C., Lin, H. Y., and Liang, S. Y., “Analytical Modeling of Residual Stress in Laser Powder Bed Fusion Considering Part’s Boundary Condition,“ Crystals (SCI listed), 10, 337; doi:10.3390/cryst10040337, 2020.
  25. Chen, Z., Yue, C., Liang, S. Y., Liu, X., Li, H., and Li, X., “Iterative Form Error Prediction for Side-milling of Thin-walled Parts,” International Journal of Advanced Manufacturing Technology (SCI listed), Vol. 107, pp. 4173-4189, April 2020.
  26. Mu D., Liu, X., Yue, C., Liang, S. Y., Chen Z., Li H., Xu M., “Research on Wear Status Recognition of Milling Cutter by Deep Learning and Multi-signal Fusion,” accepted by Mechanical Science and Technology for Aerospace Engineering (in Chinese), Sept 2020.
  27. Mirkoohi, E., Dobbs, J. R., and Liang, S. Y., “Analytical Mechanics Modeling of In-Process Thermal Stress Distribution in Metal Additive Manufacturing”, Journal of Manufacturing Processes (SCI listed), (58), pp. 41-54, 2020.
  28. Yue, C., Hao, X., Ji, X., Liu, X., Liang, S. Y., Wang, L., and Yan, F., “Analytical Prediction of Residual Stress in the Machined Surface during Milling,” Metals (SCI listed), Vol. 10, No. 4, 498, April 2020.
  29. Lu, X. H., Jia, Z. Y., Zhang, H. X., Qiao, J., H., Feng, J. H., and Liang, S. Y., “Simulation of Micro-milling Inconel 718 Considering Scale Effect,” International Journal of Advanced Manufacturing Technology (SCI listed), Vol. 108, N. 3, pp. 671-681, May 1, 2020.
  30. Wei, X., Yue, C., Liu, X., Yan, F., Wei, S., Liang, S. Y. “Modeling and Experimental Study of Axial Ultrasonic Vibration-assisted Milling Force,” accepted by Mechanical Science and Technology for Aerospace Engineering (in Chinese), Dec 2020.
  31. Mirkoohi, E., Seivers, D. E., Garmestani, H., and Liang, S. Y., "Thermo-Mechanical Modeling of Thermal Stress in Metal Additive Manufacturing Considering Elastoplastic Hardening,” CIRP Journal of Manufacturing Science and Technology (SCI listed), Vol. 28, pp. 52-67, 2020.
  32. Hao, X., Yue, C., Liu, X., Wang, L., Liang, S. Y., and Nan, Y., “Modeling of Convex Surface Topography in Milling Process,” Metals (SCI listed), 10, 1218, doi 10.3390/met10091218, 2020.
  33. Feng, Y., Hsu, F.-C., Lu, Y.-T., Lin, Y.-F., Lin, C.-T., Lin, C.-F., Lu, Y.-C., and Liang, S. Y., “Force Prediction in Ultrasonic Vibration-assisted Milling,” Machining Science and Technology (SCI listed), doi: https://doi.org/10.1080/10910344.2020.1815048, 2020.
  34. Wu, C., Dong, W., Zhu L., Zhang, J., Xu, L. and Liang, S. Y., “Modeling of Grinding Chip Thickness Distribution based on Material Removal Mode in Grinding of SiC Ceramics” Journal of Advanced Mechanical Design, Systems, and Manufacturing (SCI listed), Vol. 14, No. 1, doi: 10.1299/jamdsm.2020jamdsm001, 2020.
  35. Ding, Z., Sun, G., Guo, M., Jiang, X., Li, B., and Liang, S.Y., “Effect of Phase Transition on Micro-grinding-induced Residual Stress,” Journal of Materials Processing Technology (SCI listed), Vol. 281, doi: https://doi.org/10.1016/j.jmatprotec.2020.116647, 2020.
  36. Mirkoohi, E., Li, D., Garmestani, H., and Liang, S. Y., “Analytical Modeling of Residual Stress in Metal Additive Manufacturing Considering Volume Conservation in Plastic Deformation,” Modelling (SCI listed), 1(2), pp. 242-259, 2020.
  37. Li, H., Liu, X., Yue, C., Li, X., Liang, S. Y., and Wang, L., “Automatic Recognition and Detection System for Cutter Wear (in Chinese),” Journal of Computer Applications, Vol.41, pp. 259-263, June 2020.
  38. Ding, Z., Sun, G., Jiang, X., and Liang, S.Y., “Cubic Boron Nitride Wheel Topography Effects on Phase Transformation of Maraging C250 Steel and Grinding Surface Quality” International Journal of Advanced Manufacturing Technology (SCI listed), Vol. 108, pp. 2881–2893, 2020.
  39. Feng, Y., Hsu, F.-C., Lu, Y.-T., Lin, Y.-F., Lin, C.-T., Lin, C.-F., Lu, Y.-C., and Liang, S. Y., “Temperature Prediction of Ultrasonic Vibration-assisted Milling,” Ultrasonics (SCI listed), 108, doi: https://doi.org/10.1016/j.ultras.2020.106212, 2020.
  40. Luan, Y. H., Meng, X. Y., Xue, L., Liang, S. Y., and Lu, X. H., "Simulation of a Micro-milling Single Crystal Copper Process based on Crystal Plastic Constitutive Theory,” Simulation (SCI listed), Vol. 96, N. 12, pp. 957-968, December 2020.
  41. Liu, Z., Yue, C., Li, X., Liu, X., Liang, S. Y., and Wang, L., “Research on Milling Tool Wears Prediction based on 3-D Finite Element Process Simulation,” Journal of Manufacturing and Materials Processing (ESCI listed), 4, 121, doi: 10.3390/jmmp4040121, 2020.
  42. Feng, Y., Hsu, F.-C., Lu, Y.-T., Lin, Y.-F., Lin, C.-T., Lin, C.-F., Lu, Y.-C., and Liang, S. Y., “Tool Wear Rate Prediction in Ultrasonic Vibration-assisted Milling,” Machining Science and Technology (SCI listed), Vol. 24, Issue 5, pp. 758-780, April 2020.
  43. Chen, Z, Liu, X., He, G., Yue, C., Wang, L., Liang, S. Y., “An iteration-based Algorithm for Two-pass Flute Grinding of Slide Round Milling Tools,” The International Journal of Advanced Manufacturing Technology (SCI listed), Vol. 111, No. 9, pp. 2533-2543. 2020.
  44. Lin, C-J, Lui, Y-T, Lin, Y-F, Wang, H-B, Liang, S. Y., Wang, J-J J., “Prediction of Shearing and Ploughing Constants in Milling of Inconel 718,” Journal of Manufacturing and Materials Processing (ESCI listed), doi: 10.3390/jmmp5010008, 5, 8, 2021.
  45. Jia, Z. Y., Lu, X. H., Gu, H., Ruan, F. X., and Liang, S. Y., “Deflection Prediction of Micro-milling Inconel 718 Thin-walled Parts,” Journal of Materials Processing Technology (SCI listed), doi: https://authors.elsevier.com/a/1cFiR3I6Alcnc2, 2021.
  46. Zhang, A., Liu, X., Yue, C., Li, R., Liang, S.Y., Wang, L., “Velocity Effect Sensitivity Analysis of Ball-End Milling Ti-6Al-4V,” International Journal of Advanced Manufacturing Technology (SCI listed), pp. 1-20. 2021.
  47. Jia, Z. Y., Lu, X. H., Yang, K., Sun, X. D., and Liang, S. Y., “Stability of Micro-milling Micro-scale Thin-walled Parts Process,” International Journal of Advanced Manufacturing Technology (SCI listed), Vol. 112, N. 5-6, pp. 1529-1544, January 2021.
  48. Mirkoohi, E., Li, D., Garmestani, H., and Liang, S. Y., “Residual Stress Modeling Considering Microstructural Evolution in Metal Additive Manufacturing,” Journal of Manufacturing Processes (SCI listed), Vol. 68, pp. 383-397, 2021.
  49. Yu F., Li M., Yan F., Liu, X., Liang, S. Y. “A Prediction Method of Milling Stability based on Multi-step Backtracking Algorithm,” Journal of Vibration and Shock (In Chinese) (EI listed), Vol. 40, No. 1, pp. 102-109, 2021.
  50. Mirkoohi, E., Mahdavi, M., Li, D., Garmestani, H., and Liang, S. Y., “Microstructure Affected Residual Stress Prediction Based on Mechanical Threshold Stress in Direct Metal Deposition of Ti-6Al-4V,” The International Journal of Advanced Manufacturing Technology (SCI listed), doi: 10.1007/s00170-020-06526-w, Vol. 112, 1705-1712, 2021.
  51. Zhang, A., Yue, C., Liu, X., and Liang, S. Y., “Study on the Formation Mechanism of Surface Adhered Damage in Ball-End Milling Ti6Al4V,” Materials (SCI listed), Vol. 14, 7143, doi: 10.3390/ma14237143, 2021.
  52. Zhao, M., Mao J., Ji, X., Feng, Y., and Liang, S. Y., “Effect of Crystallographic Orientation on Residual Stress Induced in Micro-grinding,” International Journal of Advanced Manufacturing Technology (SCI listed), Vol. 112, pp. 1271–1284, 2021.
  53. Mirkoohi, E., Tran, H. C., Lo, Y. L., Chang, Y. C., Lin, H. Y., and Liang, S. Y., “Mechanics Modeling of Residual Stress Considering Effect of Preheating in Laser Powder Bed Fusion,” Journal of Manufacturing and Materials Processing (ESCI listed), doi: 10.3390/jmmp5020046, Vol. 5, 46, 2021.
  54. Yue, D., Yue, C., Liu, X., Zhang, A., Li, M., Liang, S. Y., Li, M., “Analysis of Cutting Performance of the Tool Based on FEM and Grey-fuzzy Analytic Hierarchy Process,” International Journal of Advanced Manufacturing Technology (SCI listed), doi: 10.1007/s00170-021-08013-2, 2021.
  55. Zou, P., Rajora, M., and Liang, S. Y., “Obtaining Multiple Process Parameter Combinations using a Supervised Clustering-Optimization Approach,” International Journal of Industrial Engineering: Theory, Applications, and Practice (SCI listed), 27(4), pp.515-526, 2021.
  56. Wang, W., Ning, J., Liang, S. Y., “In-Situ Distortion Prediction in Metal Additive Manufacturing Considering Boundary Conditions,” International Journal of Precision Engineering and Manufacturing (SCI listed), 22, pp, 909–917, 2021.
  57. Lu, X. H., Ruan, F. X., Han, P. Z., Zou, Y. and Liang, S. Y., “Comprehensive Testing and Performance Evaluation of Chain-type Tool Magazine and ATC,” International Journal of Manufacturing Research (EI listed), Vol. 16, No. 4, pp. 380-398, 2021.
  58. Meng, B., Liu, X. L., Li, M., Liang, S. Y., Wang, L., Wang, Z., “Uniformity, Periodicity, and Symmetry Characteristics of Forces Fluctuation in Helical-Edge Milling Cutter,” Applied Sciences (SCI listed), doi: 10.3390/app11062693, 11, 2693, 2021
  59. Rajora, M., Zou, P., and Liang, S. Y., “Multimodal Optimization of Permutation Flow-Shop Scheduling Problems using a Clustering Genetic-Algorithm Based Approach,” Applied Science (SCI listed), 11, 3388. doi: 10.3390/app11083388, 2021.
  60. Lu, X. H., Luan, Y. H., Hou, P. R. and Liang, S. Y., “Characteristics and Mechanism of Top Burr Formation in Micro-milling LF21” Journal of Manufacturing Science and Engineering-Transactions of the ASME (SCI listed), Vol. 143, N. 7, doi: 10.1115/1.4049650, 2021.
  61. Wang, W., Ning, J., Liang, S. Y., “Prediction of Lack-of-Fusion Porosity in Laser Powder-Bed Fusion Considering Boundary Conditions and Sensitivity to Laser Power Absorption,” The International Journal of Advanced Manufacturing Technology (SCI listed), doi: 10.1007/s00170-020-06224-7, Vol. 112, pp. 61-70, 2021.
  62. Zou, P., Rajora, M., and Liang, S. Y., “A Two-stage Filter Split-Optimization Approach for Obtaining Multiple Solutions with Identical Objective Value,” Machines (SCI listed), 9, 65. doi: 10.3390/machines9030065, 2021.
  63. Hoar, E., Sahoo, S., Mahdavi, M., Liang, S. Y., Roy, S., and Garmestani, H., “Statistical Modeling of Microstructure Evolution in a Ti-6Al-4V Alloy during Isothermal Compression,” Acta Materialia (SCI listed), Vol. 210, doi: 10.1016/j.actamat.2021.116827, 2021.
  64. Cai, L. and Liang, S. Y., “Analytical Modelling of Temperature Distribution in SLM Process with Consideration of Scan Strategy Difference between Layers,” Materials (SCI listed), 14, 1869. doi: 10.3390/ma14081869, 2021.
  65. Wang, W., Ning, J., and Liang, S. Y., “In‑Situ Distortion Prediction in Metal Additive Manufacturing Considering Boundary Conditions,” International Journal of Precision Engineering and Manufacturing (SCI listed), Vol. 22, pp. 909-917, 2021.
  66. Ding, Z., Guo, F., Guo W., Sun, G., Lin, J., Wu, C., and Liang, S. Y., “Investigations on Grain Size Characteristics in Microstructure during Grinding of Maraging Steel 3J33,” Journal of Manufacturing Processes, (SCI listed), Vol. 69, pp. 434-450, 2021.
  67. Liu, X., Liu, S., Li, X., Zhang, B., Yue, C., and Liang, S. Y., “Intelligent Tool Wear Monitoring based on Parallel Residual and Stacked Bidirectional Long Short-term Memory Network,” Journal of Manufacturing Systems (SCI listed), Vol. 60, pp. 608-619, 2021.
  68. Liu, X., Zhang, B., Li, X., Liu, S., Yue, C., and Liang, S. Y., “An Approach for Tool Wear Prediction using Customized Dense Net and GRU Integrated Model based on Multi-sensor Feature Fusion,” accepted by Journal of Intelligent Manufacturing (SCI listed), 2021.
  69. Liu, X., Wang, Z., Li, M., Yue, C., Liang, S. Y., and Wang, L. “Feature Extraction of Milling Chatter based on Optimized Variational Mode Decomposition and Multi-scale Permutation Entropy,” International Journal of Advanced Manufacturing Technology (SCI listed), Vol. 114, Issue 9-10, pp. 2849-2862, 2021.
  70. Yue, C., Du, Y., Li, X., Chen, Z., Liu, X., Liang, S.Y., and Wang, L., “Analytical Modeling of Tool Rake Wear in Titanium Alloy Milling Process,” Chinese Journal of Mechanical Engineering (In Chinese) (EI listed), Vol. 57, No. 23, pp. 232-240, 2021.
  71. Du, Y., Yue, C., Li, X., Liu, X., and Liang, S. Y., “Research on Breakage Characteristics in Side Milling of Titanium Alloy with Cemented Carbide End Mill,” International Journal of Advanced Manufacturing Technology (SCI listed), doi: https://doi.org/10.1007/s00170-021-07938-y, 2021.
  72. Ding, Z., Sun, J., Jiang, X., Wu, C., and Liang, S. Y., "Thermal Analysis of 3J33 Grinding under Minimum Quantity Lubrication Condition," International Journal of Precision Engineering and Manufacturing-Green Technology (SCI listed), doi: https://doi.org/10.1007/s40684-021-00391-y, 2021.
  73. 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,” International Journal of Industrial Engineering: Theory, Applications, and Practice (SCI listed), Vol. 28, Issue 2, pp. 148-161, 2021.
  74. Wang, W., Ning, J., and Liang, S. Y., “Analytical Prediction of Balling, Lack-of-fusion and Keyholing Thresholds in Powder Bed Fusion,” Applied Sciences (SCI listed), Vol. 11(24), p.12053, doi: 10.3390/app112412053, 2021.
  75. Wang, W., and Liang, S. Y., “Physics-based Predictive Model of Lack-of-Fusion Porosity in Laser Powder Bed Fusion Considering Cap Area”, Crystals (SCI listed), Vol. 11(12), p.1568, doi: 10.3390/cryst11121568, 2021.
  76. Lu, X. H., Gu, H., Ruan, F. X., Meng, X. Y., and Liang, S. Y., “Force Prediction of Micro-milling Inconel 718 Thin-walled Parts Based on Cutting Process Simulation,” accepted by Journal of Northeastern University (Natural Science) (EI listed), 2021.
  77. Meng, B., Li, M., Liu, X., Wang, L., Liang, S. Y., and Wang, Z., “Research Progress on the Architecture and Key Technologies of Machine Tool Intelligent Control System”, Journal of Mechanical Engineering (In Chinese) (EI listed), Vol 57, No 9, pp. 147-166, 2021.
  78. Li, X., Liu, X., Yue, C., Liu, S., Zhang, B., Li, R., Liang, S. Y., and Wang, L. “A Data-driven Approach for Tool Wear Recognition and Quantitative Prediction based on Radar Map Feature Fusion”, Measurement (SCI listed), Vol.185, doi: 10.1016/j.measurement.2021.110072, 2021.
  79. Lu, X. H., Sun X. D., Xue L. and Liang, S. Y., “Surface Topography Simulation and Roughness Prediction of Micro-milling Single Crystal Copper,” International Journal of Nanomanufacturing (EI listed), Vol. 17, No. 2, pp. 139-153, 2021.
  80. Liu, X., Li, X., Ding, M., Yue C., Wang, L., Liang, S. Y., and Zhang, B., “Intelligent Management and Control Technology of Cutting Tool Life-cycle for Intelligent Manufacturing,” Journal of Mechanical Engineering (In Chinese) (EI listed), Vol 57, No 10, pp. 196-219, 2021.
  81. Du, Y., Yue, C., Li, X., Liu, X., and Liang, S. Y., “Analytical Modeling of Tool Failure Boundary Map in Milling Titanium Alloy,” Part B: Journal of Engineering Manufacture (SCI listed), doi: 10.1177/09544054211043981, 2021.
  82. Chen, Z., Yue, C., Liu, X., Liang, S. Y., Wei, X., and Du, Y., ”Surface Topography Prediction Model in Milling of Thin-walled Parts Considering Machining Deformation,” Materials (SCI listed), Vol. 14, No. 24, pp. 7679, 2021.
  83. Alaghmandfard, R., Mahdavi, M., Seraj, P., Pirgazi, H., Chalasani, D., Amirkhiz, B. S., Kestens, L., Odeshi, A., Liang, S., Garmestani, H., and Mohammadi, M., “Characterization and Statistical Modeling of Texture and Microstructure Evolution in Dynamically Fractured Electron Beam Melted Ti-6Al-4V,” Acta Materialia (SCI listed), doi: 10.2139/ssrn.3949514, 2021.
  84. Ding, Z., Guo, F., Guo, W., Sun, G., Lin, J., Wu, C., and Liang, S. Y., “Investigations on Grain Size Characteristics in Microstructure during Grinding of Maraging Steel 3J33,” Journal of Manufacturing Processes, (SCI Archived), Vol 69, pp. 434-450, 2021.
  85. Zhou, H., Zhang, Q., Wu, C., You, Z., Liu, Y., and Liang, S. Y. “An Effective Selective Assembly Model for Spinning Shells Based on the Improved Genetic Simulated Annealing Algorithm (IGSAA),” International Journal of Advanced Manufacturing Technology (SCI listed), Vol. 119, pp. 4813-4827, 2022.
  86. Wang, W. and Liang, S. Y., “Prediction of Molten Pool Height, Contact Angle and Balling Occurrence in Laser Powder Bed Fusion”, The International Journal of Advanced Manufacturing Technology (SCI listed), Vol. 119(9), pp.6193-6202, 2022.
  87. Lu, X. H., Luan, Y. H., Meng, X. Y., Feng, J. H., and Liang, S. Y., “Prediction of Cutting Force in Micro-milling Single Crystal Copper,” International Journal of Manufacturing Research (EI listed), Vol. 17, No. 3, pp.326-339, Oct. 2022.
  88. Wang, W., Garmestani, H., and Liang, S. Y., “Prediction of Molten Pool Size and Vapor Depression Depth in Keyhole Melting Mode of Laser Powder Bed Fusion”, The International Journal of Advanced Manufacturing Technology (SCI listed), Vol. 119(9), pp. 6215-6223, 2022.
  89. Wang, W., Ning, J., and Liang, S. Y., “Analytical Prediction of Keyhole Porosity in Laser Powder Bed Fusion”, The International Journal of Advanced Manufacturing Technology (SCI listed), Vol. 119(11), pp.6995-7002, 2022.
  90. Yue, C., Zhang, J., Liu, X., Chen, Z., Liang, S. Y., and Wang, L., “Research Progress on Machining Deformation of Thin-Walled Parts in Milling Process,” Hangkong Xuebao/Acta Aeronautica et Astronautica Sinica (In Chinese) (EI listed), Vol. 43, No. 4, pp. 525164, 2022.
  91. Ji, X., Wang, Y. F., and Liang, S. Y., “Analytical Modeling of Temperature Evolution in Laser Powder Bed Fusion Considering the Size and Shape of the Build Part”, Journal of Materials Processing Technology (SCI listed), doi: 10.1016/j.jmatprotec.2021.117452, Vol. 301, 117452, 2022.
  92. Mahdavi, M., Liang, S. Y., and Garmestani, H., “Prediction of Yield Strength of Selective Laser MeltedTi-6Al-4V Alloy Using Melt Pool Geometry,” ASME Trans, Journal of Engineering Materials and Technology (SCI listed). doi:10.1115/1.4051564, Vol. 144(1), 2022.
  93. Wang, W., Garmestani, H., and Liang, S. Y., “Prediction of Upper Surface Roughness in Laser Powder Bed Fusion”, Metals (SCI listed), Vol. 12(1), p.11, doi: 10.3390/met12010011, 2022.
  94. Ding, Z., Zhao, Y., Guo, M., Guo, W., Wu, C., and Liang, S. Y., “An Iterative Blending Integrating Grinding Force Model Considering Grain Size and Dislocation Density Evolution,” accepted by Advances in Manufacturing (SCI listed), (in print)
  95. Melkote, S. N., Liang, S. Y., Ozel, T., Jawahir, I. S., Stephenson, D. A., and Wang, B., “A Review of Advances in Modeling of Conventional Machining Processes: From Merchant to the Present,” ASME Transactions, Journal of Manufacturing Science an Engineering (SCI listed), doi: 10.1115/1.4053522, 2022.
  96. Ji, X., Wang, Y. F., and Liang, S. Y., “Simulation of Temperature Field in Selective Laser Considering Melt Pool Flow Effect (in Chinese),” Applied Laser, Vol. 42, No. 8, 2022.
  97. Akhtar, W., Ismail Lazoglu, I., and Liang, S. Y., “Prediction and Control of Residual Stress-based Distortions in the Machining of Aerospace Parts: A Review,” accepted by Journal of Manufacturing Processes (SCI listed), Vol. 76, pp. 106-122, 2022.
  98. Liu, X. L., Zhang, B. W., Li, X. B., Liu, S. Y., Yue, C. X., and Liang, S. Y., “An Approach for Tool Wear Prediction Using Customized Densenet and Gru Integrated Model Based on Multi-Sensor Feature Fusion,” Journal of Intelligent Manufacturing (SCI listed), May 2022.
  99. Cai, L., Feng, Y., and Liang, S. Y., “Analytical Modeling of Residual Stress in End-Milling with Minimum Quantity Lubrication,” Mechanics & Industry (SCI listed), Mechanics & Industry (SCI listed), 23, 5, 2022.
  100. Lu, X. H., Luan, Y. H., Meng, X. Y., Zhou, Y., and Liang, S. Y., “Temperature Distribution and Mechanical Properties of FSW Medium Thickness 2219 Aluminum Alloy”, International Journal of Advanced Manufacturing Technology (SCI listed), Vol. 119, N. 11-12, pp. 7229-7241, 2022.
  101. Wang, Z., Liu, X., Li, M., Wang, L., Liang, S. Y., and Yu, F. H., “Multi-point Contact Stability Prediction considering Deformation Effect in Milling Thin-walled Parts (in Chinese),” Journal of Mechanical Engineering (EI listed), Vol. 58, No. 17, pp. 309-320, Sep 2022.
  102. Lu, X. H., Qiao, J. H., Qian, J. Y., Sun, S. X., and Liang, S. Y., “Welding Parameters Optimization in Plunging and Dwelling Phase of FSW Medium Thickness 2219 Aluminum Alloy,” International Journal of Advanced Manufacturing Technology (SCI listed), Vol. 120, N. 9-10, pp. 6163-6173, 2022.
  103. Liu, X. L., Sun, Y. M., Yue, C. X., Wei, X. D., Sun, Q. Z., Liang, S. Y., Wang, L. H., and Qin, Y. Y., “Surface Roughness Prediction Method of Titanium Alloy Milling Based on Cdh Platform,” International Journal of Advanced Manufacturing Technology (SCI listed), Vol. 119, No. 11-12, pp. 7145-7157, 2022.
  104. Wang, W. and Liang, S. Y., “A 3D Analytical Modeling Method for Keyhole Porosity Prediction in Laser Powder Bed Fusion,” International Journal of Advanced Manufacturing Technology (SCI listed), Vol. 120(5), pp.3017-3025, 2022.
  105. Liu, X. L., Wang, S. P., Yue, C. X., Xu, M. D., Chen, Z., Zhou, J. Q., and Liang, S. Y., “Numerical Calculation of Grinding Wheel Wear for Spiral Groove Grinding,” International Journal of Advanced Manufacturing Technology (SCI listed), Vol. 120, No. 5-6, pp. 3393-3404, May 2022.
  106. Lu, X. H., Sun, X. D., Sun, S. X., Qian, J. Y., and Liang, S. Y., “Numerical Simulation of Thermal Field of FSW 2219 Aluminum Alloy Thick Plate,” China Welding, Vo. 30, No. 4, pp.1-8. December 2022.
  107. Cai, L., Feng, Y., Lu, Y.-T., Lin, Y.-F., Hung, T.-P, Hsu, F.-C., and Liang, S. Y., “Analytical Model for Temperature Prediction in Milling AISI D2 with Minimum Quantity Lubrication,” Metals (SCI listed), 12(4), 697, 2022.
  108. Lin, Z., Yue, C. X., Hu, D. S., Liu, X. L., Liang, S. Y., Jiang, Z. P., Zhang, A. S., and Yue, D. X., "Research and Development of Parametric Design Platform for Series Complex Cutting Tools," International Journal of Advanced Manufacturing Technology (SCI listed), Vol. 121, No. 9-10, pp. 6325-6340, Aug 2022.
  109. Ji, X., Zhang, S., Wang, Y., and Liang, S. Y., “Effect of Thermal-fluidic Transport on the Temperature Distribution and the Melt Pool in Laser Powder Bed Fusion of Ti6Al4V,” Optics and Laser Technology (SCI listed), Vol. 156, 108587, 2022.
  110. Wei, X., Sun, Q., Liu, X., Yue, C., Liang, S. Y., and Wang, L., “Research on Parallel Distributed Clustering Algorithm Applied to Milling Parameter Optimization,” International Journal of Advanced Manufacturing Technology (SCI listed), Vol. 120, No. 11-12, pp. 7895-7904, Jun 2022.
  111. Li, X., Liu, X., Liang, S. Y., and Wang, L., “A Systematic Review on Tool Breakage Monitoring Techniques for Cutting Processes,” International Journal of Machine Tools and Manufacture (SCI listed), Vol. 176, pp. 103882, 2022.
  112. Wang, W., Ning, J., Garmestani, H., and Liang, S. Y., “Analytical Prediction of Molten Pool Dimensions in Powder Bed Fusion Considering Process Conditions-Dependent Laser Absorptivity”, Applied Sciences (SCI listed), Vol. 12(23), 11926, 2022.
  113. Wei, X., Liu, X., Yue, C., Wang, L., Liang, S. Y., and Qin Y., “Tool Wear State Recognition based on Feature Selection Method with Whitening Variational Mode Decomposition,” Robotics and Computer-Integrated Manufacturing (SCI listed), Vol. 77, pp. 102344, 2022.
  114. Liu, X. L., Zhao, Z., Zhang, H., Yue, C., Li, R., and Liang, S. Y., “Wear Distribution Characteristics of Carbide Ball End Milling Tool Focusing on Tool Path and Posture,” Wear (SCI listed), Vol. 498, pp. 204-248, 2022.
  115. Lu, X., Cong, C., Hou, P., Xv, K., and Liang, S. Y., “Improved Cutting Force Modelling in Micro-Milling Aluminum Alloy LF 21 Considering Tool Wear,” Applied Sciences (SCI listed), 12, 5357, doi: 10.3390/app12115357, 2022.
  116. Wei, X., Yue, C., Hu, D., Liu, X., Ding, Y., and Liang, S. Y., “Research on Surface Roughness of Supersonic Vibration Auxiliary Side Milling for Titanium Alloy,” Chinese Journal of Mechanical Engineering (SCI listed), Vol. 35, No. 1, pp. 101-112, 2022.
  117. Zhu, S., Zhao, M., Mao, J., and Liang, S. Y., “A Ti-6Al-4V Milling Force Prediction Model Based on the Taylor Factor Model and Microstructure Evolution of the Milling Surface,” Micromachines (SCI listed), Vol. 13, pp. 1618, September 2022.
  118. Wu, C., Zhang, T. Y., Guo, W. C., Meng, X. K., Ding, Z. S., and Liang, S. Y., “Laser-assisted Grinding of Silicon Nitride Ceramics: Micro-groove Preparation and Removal Mechanism,” Ceramics International (SCI listed), doi: 10.1016/j.ceramint.2022.07.180, 2022.
  119. Lu, X. H., Meng, X. Y., Ma, C., Sun, S. X., and Liang, S. Y., “Microstructure and Mechanical Properties of FSW Medium Thickness 2219 Aluminum Alloy,” Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, (SCI listed), Vol. 236, No. 16, pp.9072-9080, Aug 2022.
  120. Wei, X., Liu, X., and Liang, S.Y., “Surface Roughness Prediction Framework for Flank Milling Ti6Al4V alloy based on IBAS-BP Algorithm,” accepted by International Journal of Computer Integrated Manufacturing (SCI listed), 2022. (in print)
  121. Wu, C., Wei X. Y., Chen, Y. T., Liu, J., Guo, C. F., Wang, Q.B., and Liang, S. Y., “Surface Wettability Analysis and Preparation of Hydrophobic Microcylindrical Arrays by μ-SLA 3D Printing,” Journal of Manufacturing Processes (SCI listed), V. 83, pp. 14-26, 2022.
  122. Wang, W. and Liang, S. Y., “Physics-based Analytical Modeling of Keyhole Mode in Laser Powder Bed Fusion,” International Journal of Advanced Manufacturing Technology (SCI listed), Vol. 123(7), pp. 2809-2818, 2022.
  123. Liu, X. L., Han, L. H., Wu, S., Meng, Y., Yue, C. X., and Liang, S. Y., "Influence of Blade Curvature Characteristics on Energy Consumption in Machining Process," International Journal of Advanced Manufacturing Technology (SCI listed), Vol. 121, No. 3-4, pp. 1867-1885, July 2022.
  124. Zhu S., Zhao, M., Mao, J., and Liang, S. Y., “Study on Hot Deformation Behavior and Texture Evolution of Aluminum Alloy 7075 based on Visco-plastic Self-consistent Model,” Metals (SCI listed), Vol.12, 1648. September 2022.
  125. Wang, R., Zhao, M., Mao J., and Liang, S. Y., “Force Prediction and Material Removal Mechanism Analysis of Milling SiCp/2009Al,” Micromachines (SCI listed), Vol. 13, pp. 1687, October 2022.
  126. Wei, X. D., Liu, X. L., Yue, C. X., Liang, S. Y., Wang, L. H., Sun Y. M., and Qin, Y., “Surface Roughness Prediction Framework for Flank Milling Ti6Al4V Alloy based on CLBAS-BP Algorithm,” International Journal of Computer Integrated Manufacturing (SCI listed) DOI: 10.1080/0951192X.2022.2145024, 2022.
  127. Zhang, T. Y., Liu, F., Liu, Y., Wu, C., and Liang, S. Y., “Ultraviolet Nanosecond Laser Ablated Groove Analysis of 2.5D Cf/SiC Composites,” Crystals (SCI listed), doi: 10.3390/cryst13020223, 13(2), 223, 2023.
  128. Wang., Y., Ji., X., and Liang, S. Y., “Analytical Modeling of Temperature Distribution in Laser Powder Bed Fusion with Different Scan Strategies,” Optics and Laser Technology (SCI listed), 157, doi: 10.1061/j.optlastec.2020.108708, 2023.
  129. Ding, Z., Guo, F., Sun, G., Guo, M., Lin, J., and Liang, S. Y., “Dislocation Density and Shear Texture Effects on Grinding Force during Grinding Maraging Steel 3J33,” Journal of Manufacturing Processes, (SCI listed), 86, pp. 311-325, 2023.

B.  Referred Conference Papers

  1. Liang, S. Y., Feng, Y., and Ning, J., “Predictive Manufacturing: Subtractive and Additive,” Proceedings, 4th International Conference on Manufacturing Technologies (ICMT), Seattle, January 17-20, 2020.
  2. Mirkoohi, E., Sievers, D.E., and Liang, S. Y., ”Analytical Modeling of Residual Stress in Metal Additive Manufacturing,” Proceedings, ASME 15th International Manufacturing Science and Engineering Conference (MSEC) (EI listed), 2020.
  3. Mirkoohi, E., Sievers, D.E., and Liang, S. Y.,”Microstructure Affected Residual Stress in Direct Metal Deposition,” Proceedings, ASME 2020 15th International Manufacturing Science and Engineering Conference, (EI listed), Septemer 3, 2020
  4. Liang, S. Y., “Non-iterative Prediction of Metal Additive Manufacturing,” Proceedings, 11th International Conference on Advanced Materials Research (ICAMR), Singapore, January 21-24, 2021.
  5. Zhao, M., Ji, X., and Liang, S. Y., “Modeling of Residual Stress in Micro-Grinding Considering Texture Effect,” Paper No. IMECE2021-69724, Proceedings, International Mechanical Engineering Congress & Exposition (IMECE), 2021.
  6. Lu, X. H., Qiao, J. H.., Luan Y. H., Han, Z. S., and Liang, S. Y., “Influence of Mesh Density on Repeatability of FSW Process Simulation based on DEFORM”, 2021 3rd International Conference on Computer, Communications and Mechatronics Engineering (CCME2021)/IOP Journal of Physics: Conference Series (ISSN: 1742-6596), (EI listed), 2021, Xiamen, China, December 17-18, 2021.
  7. Mirkoohi, E., Tran, H. C., Lo, Y. L., Chang, Y. C., Lin, H. Y., Liang, S. Y., “Effect of Powder Layer Thickness on Residual Stress in Laser Powder Bed Fusion,” Proceedings, ASME International Manufacturing Science and Engineering Conference, (EI listed), West Lafayette, June 27-July 1, 2022.
  8. Garmestani, H., Liang, S. Y., and Gao, Ruoqi, “Microstructure-process Modeling of Metal Additive Manufacturing,” Proceedings, SES Annual Technical Meeting, College Station, TX, October 16-19, 2022.

C. Submitted Journal Papers

  1. 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 listed), (under review).
  2. Cai, L., Feng, Y., and Liang, S. Y., “Analytical Modelling of End-Milling Forces with Minimum Quantity Lubrication,” submitted to International Journal of Precision Engineering and Manufacturing (SCI listed), (under review).
  3. Cai, L., Feng, Y., and Liang, S. Y., “Analytical Model for Flank Tool Wear Prediction in End Milling with Minimum Quantity Lubrication,” submitted to Tribology Letter (SCI listed), (under review).
  4. Cai, L., Feng, Y., and Liang, S. Y., “Analytical Model for Flank Tool Wear Prediction in End Milling with Minimum Quantity Lubrication,” submitted to Journal of Friction and Wear (SCI listed), (under review).
  5. Mostafa Mahdavi, Steven Liang, Hamid Garmestani. “3D Microstructure Prediction of Additively Manufactured Metallic Materials,” submitted to Journal of Additive Manufacturing (SCI listed), (under review).
  6. Yue, C., Du, Y., Li, X., Chen, Z., Liu, X., Liang, S. Y., and Wang, L., “Analytical Modeling of Tool Rake Face Wear in Milling (in Chinese),” submitted to Journal of Mechanical Engineering (EI listed), (under review)
  7. Hu, D., Yue, C., Zhang, A., Liu, X., Liu Z., and Liang, S. Y., “Simulation of Engine Valve Guide Reaming Process and Blade Optimization (in Chinese),” submitted to Mechanical Science and Technology for Aerospace Engineering, (under review).
  8. Zhao, Z, Liu, X., Li, R., Zhang, H., Yue, C. and Steven Y. Liang. “Tool Wear Distribution Modelling Based Time Varying Wear Model,” submitted to Wear (SCI listed), (under review).
  9. Sun, Y., Liu, X., and Liang, S. Y., “Surface Roughness Prediction Method of Titanium Alloy Milling-based Platform,” submitted to International Journal of Advanced Manufacturing Technology (SCI listed), (under review)
  10. Lu, X. H., Meng X. Y., Sun, S. X., Luan, Y. H., Ma C., and Liang, S. Y., “Temperature Prediction of FSW Medium Thickness 2219 Aluminum Alloy based on Intelligent Algorithm,” submitted to International Journal of Manufacturing Research (EI listed), (under review).
  11. Wei, X., Liu, X., and Liang, S. Y., “Surface Roughness Prediction Framework for Flank Milling Ti6Al4V alloy based on IBAS- P loihBP Algorithm,” submitted to Soft Computing (SCI listed), (under review).
  12. Wu, C., Chen Y. T., Wei X. Y., Wang, Q. X., and Liang, S. Y., “Morphology Analysis and Process Optimization of SLA 3D Manufactured Micro-nano Conic Structure,” Journal of Manufacturing Processes (SCI listed), (under review).
  13. Lu, X. H., Qiao, J. H., Luan, Y. H., Yang, B. H., Zhang, W. S. and Liang, S. Y., “Welding Parameters Selection of FSW 2219 Aluminum Alloy Thick Plate,” Journal of Materials Engineering and Performance (SCI listed), (under review).
  14. Wang Q. X., Wen J. Z., Wu, C., Luo C., Lin Z. J., and Liang, S. Y., “Single Diamond Grit Scratching of Unidirectional Cf/SiC Composite: Mechanical Responses and Fracture Mechanism,” Proceedings of the Institution of Mechanical Engineers Part B-Journal of Engineering Manufacture (SCI listed), (under review)
  15. Lu, X. H., Zhang, W. S., Sun, X. D., Sun, S. X., and Liang, S. Y., “A Study on Temperature Field and Process of FSW Thick 2219 Aluminum Alloy Plate,” submitted to Journal of the Brazilian Society of Mechanical Sciences and Engineering (SCI listed), (under review).
  16. Wu, C., Wei X. Y., Chen, Y., Xiao, G., and Liang, S. Y., “Hydrophobic Microarray Surface Design and Wettability Analysis of m-SLA 3D Manufactured Conic Structure”, submitted to Surface & Coatings Technology (SCI listed), (under review).
  17. Wang, L., Yue, C., Liu, X., Li, M., Xu, Y., and Liang, S. Y., “Recent Advances of Macro and Micro Scale Finite Element Simulations in Metal Cutting Process,” submitted to Chinese Journal of Aeronautics (SCI listed, (under review).
  18. Chen, Z., Yue, C., Liu, X., and Liang, S. Y., “An Analytical Machining Deformation Model of H-section Multi-frame Beam Integral Components,” submitted to Journal of Materials Processing Technology (SCI listed), (under review).
  19. Lu, X. H., Li, X. C., Zhou, Y., Sun, S. X., and Liang, S. Y., “Predicting the Temperature Distribution in Friction Stir Welding Thick 2219 Aluminum Alloy Plate Based on LSSVM,” submitted to Journal of Materials Engineering and Performance (SCI listed), (under review).
  20. Zhu S., Zhao, M., Mao, J., and Liang, S. Y., “Study on Hot Deformation Behavior and Texture Evolution of Aluminum Alloy 7075 based on Visco-plastic Self-consistent Model,” submitted to Metals (SCI listed), under review.
  21. Li, M., Yue, C., and Liang, S. Y., “Research on Design and Application of Endmill for Milling Titanium Alloy Frame Parts,” submitted to Journal of Mechanical Engineering (EI listed), (under review).
  22. Lu, J., Yue, C., Liu, X., Chen, Z., Li, M., and Liang, S. Y., “Analytical Modeling of Milling Residual Stress under Different Tool Wear Conditions,” submitted to International Journal of Advanced Manufacturing Technology (SCI listed), (under review).
  23. Mahdavi, M., Alaghmandfard, R., Odeshi, A., Mohammadi, M., Liang, S. Y., and Garmestani, H., “Mechanical Behaviour of an Additively Manufactured Titanium Alloy: A Statistical Continuum Mechanics Theory Perspective,” submitted to Journal of Materials Science and Engineering A (SCI listed), (under review).
  24. Lu, X. H., Sui, G. C., Zhang, W. S., Sun, S. X., and Liang, S. Y., “Characterization of Extreme Temperatures in Weld Zone of Friction Stir Welding,” submitted to Nondestructive Testing and Evaluation (SCI listed), (under review).
  25. Chen, Z., Yue, C., Liu, X., and Liang, S. Y., “Corner Milling Force Prediction and Improvement Method of Aviation Thin-walled Structural Parts,” submitted to International Journal of Advanced Manufacturing Technology (SCI listed), (under review).
  26. Mahdavi, M., Liang, S. Y., and Garmestani, H., “3D Microstructure Prediction of Additively Manufactured Metallic Materials,” submitted to Journal of Additive Manufacturing (SCI listed), (under review)
  27. Wei, M., Liu, X., Yue, C., Wang, L., and Liang, S. Y., “Multi-scale One-dimensional Convolution Tool Wear Monitoring Based on Multi-model Fusion Learning Skills,” submitted to Robotics and Computer-Integrated Manufacturing (SCI listed), (under review).