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

SECECTED RECENT 3-YEAR PUBLICATIONS (revised 1/1/2021)

A. Refereed Journal Papers

  1. 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,” Transactions of ASME, Journal of Manufacturing Science and Engineering (SCI listed), Vol. 140, No. 5, pp. 051007-1, 051007-13, 2018.
  2. Lu, X. H., Jia, Z. Y., Wang, H., Feng, Y. X. and Liang. S. Y., “Strain Hardening Properties and the Relationship between Strain and Hardness of Inconel 718,” International Journal of Manufacturing Research (EI listed), Vol. 13, N. 4, pp. 330-341, September 2018.
  3. 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 listed), Vol. 140 / 031008-1, March 2018.
  4. Wang, S., Jia, Z., Lu, X. H., Zhang, H., Zhang, C., Liang, S. Y., “Simultaneous Optimization of Fixture and Cutting Parameters of Thin-Walled Workpieces based on Particle Swarm Optimization Algorithm,” Simulation, Vol. 94, No. 1, pp. 67-76, 2018.
  5. Yue, C., Gao, H., Liu, X., andLiang, S. Y., “Part Functionality Alterations Induced by Changes of Surface Integrity in Metal Milling Process: A Review,” Applied Sciences (SCI listed), Vol. 8, No. 12, pp. 2550-2568, December 2018.
  6. Ning, J., and Liang, S. Y., “Model-driven Determination of Johnson-Cook Material Constants using Temperature and Force Measurements,” International Journal of Advanced Manufacturing Technology (SCI listed), Vol. 97(1-4), pp. 1053-1060, July 2018.
  7. Ning, J., Nguyen, V., Huang, Y., Hartwig, K.T., and Liang, S.Y., “Inverse Determination of Johnson–Cook Model Constants of Ultra-fine-grained Titanium based on Chip Formation Model and Iterative Gradient Search,” International Journal of Advanced Manufacturing Technology (SCI listed), Vol. 99(5-8), pp. 1131-1140, November 2018.
  8. Ning. J., Liang, S. Y., “Prediction of Temperature Distribution in Orthogonal Machining Based on the Mechanics of the Cutting Process using a Constitutive Model,” Journal of Manufacturing and Materials Processing (ESCI Listed), Vol. 2(2), pp. 37, June 2018.
  9. Ning, J., and Liang, S. Y., “Evaluation of an Analytical Model in the Prediction of Machining Temperature of AISI 1045 Steel and AISI 4340 Steel,” Journal of Manufacturing and Materials Processing (ESCI Listed), Vol. 2(4), pp. 74, October 2018.
  10. Zhao, M., Ji, X., Li, B., & Liang, S. Y., “Forces Prediction in Micro-Grinding Single-Crystal Copper Considering the Crystallographic Orientation,”Manufacturing Review (ESCI Listed), Vol. 5, No, 15, pp. 1884-2020, 2018.
  11. Zhang,Y.,Li, B., Yang, J., and Liang, S. Y., “Modeling and Optimization of Alloy Steel 20CrMnTi Grinding Process Parameters based on Experiments Investigation,” International Journal of Advanced Manufacturing Technology, (SCI listed), Vol. 95, Issue 5-8, pp. 1859-1873, 2018
  12. Lu, X. H., Zhang, H. X., Jia, Z. Y., Feng, Y. X.,and Liang. S. Y., “Cutting Parameters Optimization for MRR under the Constraints of Surface Roughness and Cutter Breakage in Micro-milling Process,” Journal of Mechanical Science and Technology (SCI listed), Vol. 32, N. 7, pp. 3379-3388, July 2018.
  13. Lu, X. H., Jia, Z. Y., Yang, K., Shao, P. L., Ruan, F. X., Feng, Y. X.,and Liang. S. Y., “Analytical Model of Work Hardening and Simulation of the Distribution of Hardening in Micro-milled Nickel-based Superalloy,” International Journal of Advanced Manufacturing Technology (SCI listed), Vol. 97, N. 9-12, pp. 3915-3923, August 2018.
  14. Zou, P., Rajora, M., Ma, M., Chen, H., Wu, W., and Liang, S. Y., “Electrochemical Micro-Machining Process Parameter Optimization Using a Neural Network-Genetic Algorithm Based Approach,” International Journal of Materials, Mechanics and Manufacturing(EI listed), Vol. 6, No. 2, April 2018.
  15. Lu, X. H., Wang, F. R., Jia, Z. Y., and Liang. S. Y., “The Flank Wear Prediction in Micro-milling Inconel 718,”Industrial Lubrication and Tribology (SCI listed), Vol. 70, N. 8, pp. 1374-1380, November 2018.
  16. Lu, X. H., Wang, H., Jia, Z. Y., Feng, Y. X.,and Liang. S. Y., “Effects of Cutting Parameters on Temperature and Temperature Prediction in Micro-milling of Inconel718,” International Journal of Nanomanufacturing (EI listed), Vol. 14, N. 4, pp. 377-386, September 2018.
  17. Lu, Y., Li, Q., and Liang, S.Y., “Physics-based Intelligent Prognosis for Rolling Bearing with Fault Feature Extraction,”The International Journal of Advanced Manufacturing Technology (SCI listed), Vol. 97, pp. 611-620, 2018.
  18. Lu, Y., Xie, R., and Liang, S. Y., “Detection of Weak Fault using Sparse Empirical Wavelet Transform for Cyclic Fault”, The International Journal of Advanced Manufacturing Technology (SCI listed), Vol. 99, pp. 1195-1201, 2018.
  19. Lu, Y., Xie, R., and Liang, S. Y., “Adaptive Online Dictionary Learning for Bearing Fault Diagnosis”, The International Journal of Advanced Manufacturing Technology(SCI listed), Vol. 101, pp. 195-202, 2018.
  20. Lu, X. H., Zhang, H. X., Jia, Z. Y., Feng, Y. X.,and Liang. S. Y., “Floor Surface Roughness Model considering Tool Vibration in the Process of Micro-Milling,” International Journal of Advanced Manufacturing Technology (SCI listed), Vol. 94, N. 9-12, pp. 4415-4425, February 2018.
  21. Yue, C., Liu X., Ding Y., and Liang, S. Y., “Off-line Error Compensation in Corner Milling Process,” Proceedings of the Institution of Mechanical Engineers Part B - Journal of Engineering Manufacture(SCI listed), V. 232, pp. 1172-1181, May 2018.
  22. Mirkoohi, E., Bocchini, P., and Liang, S. Y., "An Analytical Modeling for Process Parameter Planning in the Machining of Ti-6Al-4V for Force Specifications Using an Inverse Analysis," The International Journal of Advanced Manufacturing Technology, (SCI listed), Vol. 98, Issue 9-12, pp. 2347-2355, 2018.
  23. Mirkoohi, E., Ning, J., Bocchini, P., Fergani, O., Chiang, K.-N., and Liang, S. Y., "Thermal Modeling of Temperature Distribution in Metal Additive Manufacturing Considering Effects of Build Layers, Latent Heat, and Temperature-Sensitivity of Material Properties," Journal of Manufacturing and Materials Processing (SCIE listed), Vol. 2, Issue 3, pp. 63-81, 2018.
  24. Liang, S. Y., Rajora, M., Liu, X., Yue, C., Zou, P., and Wang, L., “Intelligent Manufacturing Systems: A Review,” International Journal of Mechanical Engineering and Robotics Research, Vol. 7, No. 3, pp. 324-330, May 2018.
  25. Zou, P., Rajora, M., and Liang, S. Y., “A New Algorithm based on Evolutionary Computation for Hierarchically Coupled Constraint Optimization: Methodology and Application to Assembly Job-shop Scheduling,” Journal of Scheduling (SCI listed), Vol. 21, No. 5, pp. 545-563, October 2018.
  26. Lu, Y.F., Li, Q., Pan, Z. P., and Liang, S. Y., “Prognosis of Bearing Degradation usingGradient Variable Forgetting Factor RLS Combined with Time Series Model,” IEEE Access (SCI listed), Vol. 6, pp. 10986-10995, March 2018.
  27. Li, Q. and Liang, S.Y., “Bearing Incipient Fault Diagnosis based upon Maximal Spectral Kurtosis TQWT and Group Sparsity Total Variation Denoising Approach,” Journal of Vibroengineering (EI listed), Vol. 20, No. 3, pp. 1409-1425, May 2018.
  28. Li, Q. and Liang, S. Y., “Multiple Faults Detection for Rotating Machinery Based on Bi-component Sparse Low-rank Matrix Separation Approach,” IEEE Access (SCI listed), Vol. 6, pp. 20242-20254, April 2018.
  29. Li, Q., Hu, W., Peng, E.F., and Liang, S.Y., “Multichannel Signals Reconstruction based on Tunable Q-factor Wavelet Transform-morphological Component Analysis and Sparse Bayesian Iteration for Rotating Machines,” Entropy (SCI listed), V. 20, No. 4, 263, April 2018.
  30. Li, Q. and Liang, S.Y., “Microstructure Images Restoration of Metallic Materials Based upon KSVD and Smoothing Penalty Sparse Representation Approach,” Materials (SCI listed), V. 11, No. 4, 637, April 2018.
  31. Li, Q. and Liang, S. Y., “An Improved Sparse Regularization Method for Weak Fault Diagnosis of Rotating Machinery based upon Acceleration Signals,” IEEE Sensors Journal (SCI listed), Vol.18, No.16, pp. 6693-6705, June 2018.
  32. Li, Q. and Liang, S. Y., “Intelligent Prognostics of Degradation Trajectories for Rotating Machinery based on Asymmetric Penalty Sparse Decomposition Model,” Symmetry (SCI listed), Vol. 10, No. 6, 214, June 2018.
  33. Li, Q. and Liang, S.Y., “Weak Fault Detection for Gearbox Based on Majorization–minimization and Asymmetric Nonconvex Penalty Regularization Approach,” Symmetry (SCI listed), V. 10, No. 7, 243, June 2018.
  34. Li, Q. and Liang, S.Y., “Degradation Trend Prediction for Rotating Machinery Using Long-range Dependence and Particle Filter Approach,” Algorithms (EI listed), Vol. 11, No. 7, 89, June 2018.
  35. Li, Q. and Liang, S.Y., “Incipient Fault Diagnosis for Large Reducer Taper Roller Bearings based on Non-convex Penalty Regularization Sparse Low-rank Matrix Approach,” Journal of Mechanical Engineering (EI listed), Vol.54, No. 23, pp. 102-111, December 2018.
  36. Li, Q., Ji, X., and Liang, S.Y., “Bi-dimensional Empirical Mode Decomposition and Nonconvex Penalty Minimization Lq (q = 0.5) Regular Sparse Representation-based Classification for Image Recognition,” Pattern Recognition and Image Analysis (EI listed), V. 28, No. 1, pp. 59-70, March 2018.
  37. Li, Q. and Liang, S.Y., “Weak Fault Detection of Tapered Rolling Bearing Based on Penalty Regularization Approach,” Algorithms (EI listed), Vol. 11, No.11, 184, November 2018.
  38. Ji X., Li B. Z., and Liang S. Y., “Analysis of Thermal and Mechanical Effectson Residual Stress in Minimum Quantity Lubrication (MQL) Machining,” Journal of Mechanics (SCI listed), V. 34, pp. 41-46, February 2018.
  39. Feng, Y., Pan, Z., and Liang, S.Y., "Temperature Prediction in Inconel 718 Milling with Microstructure Evolution,”The International Journal of Advanced Manufacturing Technology (SCI listed), V. 95(9-12), pp. 4607-4621, April 2018.
  40. Pan, Z., Liang, S.Y., and Garmestani, H., "Finite Element Simulation of Residual Stress in Machining of Ti-6Al-4V with a Microstructural Consideration,”Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture (SCI listed), doi:10.1177/0954405418769927, 2018.
  41. Pan, Z., Liang, S.Y., Garmestani, H., Shih, D., and Hoar, E., "Residual Stress Prediction Based on MTS Model during Machining of Ti-6Al-4V,”Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science (SCI listed), doi: 10.1177/0954406218805122, 2018.
  42. 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 listed), V. 232(14): pp. 2677-2681, December 2018.
  43. Liu, X., Liu, Q., Yue, C., Wang, L., and Liang. S. Y., “Intelligent Machining Technology in Cutting Process”, Journal of Mechanical Engineering (EI listed), V. 54, pp. 45-61, August 2018.
  44. Ding, Z, Jiang, X, Guo, M, and Liang, S. Y., “Investigation of the Grinding Temperature and Energy Partition during Cylindrical Grinding,”International Journal of Advanced Manufacturing Technology (SCI listed), V. 97, pp. 1767-1778, July 2018.
  45. Feng, Y., Lu, Y.-T., Lin, Y.-F., Hung, T.-P., Hsu, F.-C., Lin, C.-F., Lu, Y-C., and Liang, S. L., “Inverse Analysis of the Cutting Force in Laser-assisted Milling on Inconel 718,” International Journal of Advanced Manufacturing Technology (SCI listed), V. 96, pp. 905-914, April 2018.
  46. Feng, Y., Hung, T.-P., Lu, Y.-T., Lin, Y.-F., Hsu, F.-C., Lin, C.-F., Lu, Y.-C., Lu, X., and Liang, S. Y., “Inverse Analysis of Inconel 718 Laser-Assisted Milling to Achieve Machined Surface Roughness,” International Journal of Precision Engineering and Manufacturing (SCI listed), Vol. 19, pp. 1611-1618, November 2018.
  47. Lu, X. H., Wang, H., Jia, Z. Y., Feng, Y. X., and Liang. S. Y., “Coupled Thermal and Mechanical Analyses of Micro-milling Inconel 718,” Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture (SCI listed), Vol. 233, N. 4, pp. 1112-1126, March 2019.
  48. Lu, Y., Xie, R., and Liang, S. Y., “Bearing Fault Diagnosis with Nonlinear Adaptive Dictionary Learning”, International Journal of Advanced Manufacturing Technology (SCI listed), Vol. 102, pp. 4227-4239, 2019.
  49. Yue, C., Gao, H., Liu, X., Liang, S. Y., and Wang, L., “A Review of Chatter Vibration Research in Milling,” Chinese Journal of Aeronautics (SCI listed), Vol. 32, Issue 2, pp. 215-242, 2019.
  50. Zhao, M., Ji, X., Li, B., & Liang, S. Y., “Effect of Crystallographic Orientation on the Hardness of Polycrystalline Materials AA7075,” Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science (SCI Listed), Vol. 233, No, 9, pp. 3182-3192, 2019.
  51. Wu, C., Pang, J., Li B., and Liang, S.Y. “High Speed Grinding of HIP-SiC Ceramics on Transformation of Microscopic Features,” International Journal of Advanced Manufacturing Technology (SCI Listed), Vol. 102, pp. 1913–1921, 2019.
  52. Feng, Y., Hung, T.-P., Lu, Y.-T., Lin, Y.-F., Hsu, F.-C., Lin, C.-F., Lu, Y.-C., and Liang, S. Y., “Inverse Analysis of the Residual Stress in Laser-assisted Milling,” International Journal of Advanced Manufacturing Technology (SCI listed), doi: 10.1007/s00170-019-04794-9, 2019.
  53. Ning, J., Mirkoohi, E., Dong, Y., Sievers, D. E., Garmestani, H., and Liang, S. Y., "Analytical Modeling of 3D Temperature Distribution in Selective Laser Melting of Ti-6Al-4V Considering Part Boundary Conditions," Journal of Manufacturing Processes (SCI listed), Vo. 44, pp. 319-326, 2019.
  54. Ning, J., Nguyen, V., and Liang, S. Y., “Analytical Modeling of Machining Forces of Ultra-fine-grained Titanium,” The International Journal of Advanced Manufacturing Technology (SCI listed), Vol. 101(1-4), pp. 627-636, March 2019.
  55. Feng, Y., Hung, T.-P., Lu, Y.-T., Lin, Y.-F., Hsu, F.-C., Lin, C.-F., Lu, Y.-C., and Liang, S. Y., “Analytical Prediction of Temperature in Laser-assisted Milling with Laser Preheating and Machining Effects,” International Journal of Advanced Manufacturing Technology (SCI listed), Vol. 100, pp. 3185-3195, February 2019.
  56. Li, Q. and Liang, S. Y., “Weak Crack Detection for Gearbox using Sparse Denoising and Decomposition Method,” IEEE Sensors Journal (SCI listed), Vol. 19, No. 6, pp. 2243-2253, March 2019.
  57. Feng, Y., Hung, T.-P., Lu, Y.-T., Lin, Y.-F., Hsu, F.-C., Lin, C.-F., Lu, Y.-C., and Liang, S. Y., “Residual Stress Prediction in Laser-assisted Milling considering Recrystallization Effects,” International Journal of Advanced Manufacturing Technology (SCI listed), Vol. 102, pp. 393-402, May 2019.
  58. Lu, Y., Xie, R., and Liang, S. Y., “Extraction of Weak Fault using Combined Dual-Tree Wavelet and Improved MCA for Rolling Bearings”, The International Journal of Advanced Manufacturing Technology (SCI listed), Vol. 104, Issue 5-8, pp. 2389-2400, 2019.
  59. Ning, J., Sievers, D.E., Garmestani, H., and Liang, S. Y., ”Analytical Modeling of In-Process Temperature in Powder Bed Additive Manufacturing Considering Laser Power Absorption, Latent Heat, Scanning Strategy, and Powder Packing,” Materials (SCI listed), Vol. 12(5), pp. 808, March 2019.
  60. Lu, Y., Xie, R., and Liang, S. Y., “CEEMD Assisted Bearing Degradation Assessment using Tight Clustering”, The International Journal of Advanced Manufacturing Technology (SCI listed), Vol. 104, pp.1259-1267, 2019.
  61. Zhao M, Ji X, and Liang S. Y., “Force Prediction in Micro-Grinding Maraging Steel 3J33b considering the Crystallographic Orientation and Phase Transformation,” International Journal of Advanced Manufacturing Technology (SCI listed), Vol. 103, pp. 2821–2836, April 2019.
  62. Li, Q., Ji, X., Yang, J. G., and Liang, S. Y., “Stability Analysis for SiC Grinding Based Upon Harmonic Wavelet and Lipschitz Exponent,” Machining Science and Technology (SCI listed), Vol. 23, No.5, pp. 669-687, August 2019.
  63. Ning, J. and Liang, S. Y., “Predictive Modeling of Machining Temperatures with Force–Temperature Correlation using Cutting Mechanics and Constitutive Relation,” Materials (SCI listed), Vol. 12(2), pp. 284, January 2019.
  64. Li, Q., Hu, W., Peng, E. F., and Liang, S. Y., “Weak Fault Diagnosis of Rotating Machinery based on Augmented Huber Regularized Sparse Low-Rank-Matrix Approach,” Proceedings of the CSEE (EI listed), Vol. 39, No.15, pp. 4579-4588, August, 2019.
  65. Lu, Y., Xie, R., and Liang, S. Y., “Bayesian Optimized Deep Convolutional Network for Electro-Chemical Drilling Process”, Journal of Manufacturing and Materials Processing (SCIE Listed), 3(3), 57, doi: 10.3390/jmmp3030057, 2019.
  66. Du, J., Yue, C., Liu, X., Liang, S. Y., Wang, L., Gao, H., and Liu, H., “Transient Temperature Field Model of Wear Land on the Flank of End Mills: a Focus on Time-varying Heat Intensity and Time-varying Heat Distribution Ratio,” Applied Sciences (SCI listed), Vol. 9, No. 8, pp. 1698-1724, April 2019.
  67. Ning, J., Sievers, D.E., Garmestani, H., and Liang, S. Y., “Analytical Modeling of Transient Temperature in Powder Feed Metal Additive Manufacturing during Heating and Cooling Stages,” Applied Physics A, (SCI listed), Vol. 125(8), pp. 496, July 2019.
  68. Feng, Y., Hung, T.-P., Lu, Y.-T., Lin, Y.-F., Hsu, F.-C., Lin, C.-F., Lu, Y.-C., and Liang, S. Y., “Inverse Analysis of the Tool Life in Laser-assisted Milling,” International Journal of Advanced Manufacturing Technology (SCI listed), Vol.103, pp. 1947-1958, August 2019.
  69. Mahdavi, M., Hoar, E., Sievers, D. E., Chong, Y., Tsuji, N., Liang, S., Y., and Garmestani, H., “Statistical Representation of the Microstructure and Strength for a Two-phase Ti–6Al–4V,” Materials Science and Engineering: A (SCI listed), 759, pp. 313-319, 2019.
  70. Feng, Y., Hung, T.-P., Lu, Y.-T., Lin, Y.-F., Hsu, F.-C., Lin, C.-F., Lu, Y.-C., Lu, X., and Liang, S. Y., “Surface Roughness Modeling in Laser-assisted End Milling of Inconel 718,” Machining Science and Technology (SCI listed), Vol. 23 (4), pp. 650-668, 2019.
  71. Ning, J., Sievers, D.E., Garmestani, H., and Liang, S. Y., “Analytical Thermal Modeling of Metal Additive Manufacturing by Heat Sink Solution,” Materials (SCI listed), Vol. 12(16), pp. 2568, August 2019.
  72. Lu, X. H., Xv Y. C., Wang, W. T., Zhou, Y., and Liang. S. Y., “Experimental Study of the Effect of Light Source Spot Size on Measure Error of PSD,” International Journal of Manufacturing Research (EI listed). Vol. 14, N. 1, pp. 1-14, January 2019.
  73. Mirkoohi, E., Seivers, D. E., Garmestani, H., and Liang, S. Y., "Heat Source Modeling in Selective Laser Melting," Materials (SCI listed), Vol. 12, Issue 13, pp. 2052-2069, 2019.
  74. Ning, J., Wang, W., Zamorano, B., and Liang, S. Y., “Analytical Modeling of Lack-of-fusion Porosity in Metal Additive Manufacturing,” Applied Physics A (SCI listed), Vol. 125(11), pp. 797, November 2019.
  75. Yue, C., Chen, Z., Liang, S. Y., Gao, H., and Liu, H., “Modeling Machining Errors for Thin-walled Parts according to Chip Thickness,” International Journal of Advanced Manufacturing Technology (SCI listed), Vol. 103, No. 1-4, pp. 91-100, July 2019.
  76. Lu, X. H., Jia, Z. Y., Wang, X. X., Liu, Y. B., Liu M. Y., Feng, Y. X. and Liang. S. Y., “Measurement and Prediction of Vibration Displacement in Micro-milling of Nickel-based Superalloy,” Measurement: Journal of the International Measurement Confederation (SCI listed), Vol. 145, pp. 254-263, October 2019.
  77. Zou, P., Rajora, M., and Liang, S. Y., “Multimodal Optimization of Job-Shop Scheduling Problems using a Clustering Generic-Algorithm Based Approach,” International Journal of Industrial Engineering: Theory, Applications, and Practice (SCI indexed), Vol 26, No. 5, pp. 651-662, October 2019.
  78. Zhao M, Ji X, and Liang, S. Y., “Influence of AA7075 Crystallographic Orientation on Micro-Grinding Force,” Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture (SCI listed),Vol. 233, No, 8, pp.1831–1843, 2019.
  79. Tabei, A., Mirkoohi, E., Garmestani, H., and Liang, S. Y., "Modeling of Texture Development in Additive Manufacturing of Ni-Based Superalloys," The International Journal of Advanced Manufacturing Technology (SCI listed), Vol. 103, Issue 1-4, pp. 1057-1066, 2019.
  80. Zhao M, Ji X., and Liang, S. Y., “Micro-Grinding Temperature Prediction Considering the Effects of Crystallographic Orientation and the Strain Induced by Phase Transformation,” International Journal of Precision Engineering and Manufacturing (SCI listed), Vol. 20, pp. 1861-1876, August 2019.
  81. Mirkoohi, E., Bocchini, P., and Liang, S. Y., "Inverse Analysis of Residual Stress in Orthogonal Cutting," Journal of Manufacturing Processes, (SCI listed), Vol. 38, pp. 462-471, 2019.
  82. Lu, X. H., Wang F. R., Xue, L., Feng, Y. X. and Liang. S. Y., “Investigation of Material Removal Rate and Surface Roughness using Multi-objective Optimization for Micro-milling of Inconel 718,” Industrial Lubrication and Tribology (SCI listed), Vol. 71, N. 6, pp. 787-794, August 2019.
  83. Zhao, M., Ji, X. & Liang, S. Y., “Micro-grinding Temperature Prediction considering the Effects of Crystallographic Orientation,” Manufacturing Review(ESCI listed), Vol. 6, No. 22, pp. 1-11, 2019.
  84. Li, Q., Zuo, M. J., and Liang, S. Y., “Prognosis of Bearing Degeneration using Adaptive Quaternion Least Mean Biquadrate under Framework of Hypercomplex Data,” accepted by IEEE Sensors Journal (SCI listed), doi: 10.1109/JSEN.2019.2954054, 2019.
  85. Mahdavi, M., Hoar, E., Sievers, D. E., Liang, S. Y., and Garmestani, H., “Inverse Modeling of Inelastic Properties of a Two-phase Microstructure,” Engineering Research Express, 1(1), 015026, 2019.
  86. Li, Q. and Liang, S. Y., “Noise Suppression for Electronic Microstructure Images using Variational Mode Decomposition and Sparse SURE Algorithm,” accepted by Journal of Harbin Institute of Technology (EI listed), 2019 (in print).
  87. Lu, X. H., Xue, L., Ruan, F. X., Yang K. and Liang. S. Y., “Prediction Model of the Surface Roughness of Micro-milling Single Crystal Copper,” Journal of Mechanical Science and Technology (SCI listed), Vol. 33, N. 11, pp 5369-5374, November 2019.
  88. Mirkoohi, E., Bocchini, P., and Liang, S. Y., "Analytical Temperature Predictive Modeling and Non-Linear Optimization in Machining," The International Journal of Advanced Manufacturing Technology, (SCI listed), Vol. 102, Issue 5-8, pp. 1557-1566, 2019.
  89. Li, Q., Zuo, M. J., and Liang, S. Y., “A New Method for Long-Distance Data Reconstruction in Big Data Environment,” IEEE Transactions on Reliability (SCI listed), doi: 10.1109/TR.2019.2954969, 2019.
  90. Ding, Z., Sun, G., Jiang, X., Guo, M., and Liang, S. Y., “Predictive Modeling of Microgrinding Force incorporating Phase Transformation Effects”, Journal of Manufacturing Science and Engineering-Transactions of the ASME (SCI listed), Vol. 141, No. 8, doi:10.1115/1.4043839, 2019.
  91. Feng, Y., Hsu, F.-C., Lu, Y.-T., Lin, Y.-F., Lin, C.-T., Lin, C.-F., Lu, Y.-C., and Liang, S. Y., “Residual Stress Prediction in Ultrasonic Vibration–assisted Milling,” International Journal of Advanced Manufacturing Technology (SCI listed), Vol. 104, pp. 2579-2592, October 2019.
  92. Lu, X. H., Wang, Y. Q., Li, J., Zhou, Y., Ren, Z. J. and Liang. S. Y., “Three-dimensional Coordinate Measurement Algorithm by Optimizing BP Neural Network based on GA,” Engineering Computations (SCI listed), Vol. 36, N. 6, pp. 2066-2083, July 2019.
  93. Mirkoohi, E., Sievers, D. E., Garmestani, H., Chiang, K., and Liang, S. Y., "Three-Dimensional Semi-Elliptical Modeling of Melt Pool Geometry Considering Hatch Spacing and Time Spacing in Metal Additive Manufacturing," Journal of Manufacturing Processes (SCI listed), Vol. 45, pp. 532-543, 2019.
  94. Lu, X. H., Jia, Z. Y., Liu, S. Q., Yang, K., Feng, Y. X. and Liang. S. Y., “Chatter Stability of Micro-milling by Considering the Centrifugal Force and Gyroscopic Effect of the Spindle,” Journal of Manufacturing Science and Engineering, Transactions of the ASME (SCI listed), Vol. 141, N. 11, November 2019.
  95. Lu, Y., Pan, Z., Bocchini, P., Garmestani, H., and Liang, S. Y., "Grain Size Sensitive MTS Model for Ti-6Al-4V Machining Force and Residual Stress Prediction", The International Journal of Advanced Manufacturing Technology (SCI indexed) Vol. 102, pp. 2173–2181, January 2019.
  96. Li, F., Ning, J., and Liang, S. Y., “Analytical Modeling of the Temperature using Uniform Moving Heat Source in Planar Induction Heating Process,” Applied Sciences-Basel (SCI listed), doi: 10.3390/app9071445 9(7), 1445, 2019.
  97. Pan, Z., Shih, D.S., Garmestani, H. and Liang, S. Y., "Residual Stress Prediction for Turning of Ti-6Al-4V Considering the Microstructure Evolution,”Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture (SCI listed), V. 223(1), pp. 109-117, January 2019.
  98. Yue, C., Du, J., Liu, X., Liang, S. Y., Wang, L., Gao, H., and Liu, H., “Modeling Research on Transient Temperature Field of Rake Face on End Mills Considering Time-varying Heat Intensity and Time-varying Distribution Ratio,” Journal of Mechanical Engineering (EI listed),No. 9, pp. 206-216, 2019.
  99. Chou, P. H., Liang, S. Y., and Chiang, K.-N., “Reliability Assessment of Wafer level Package using Artificial Neural Network Regression Model,” accepted by Journal of Mechanics (SCI listed), doi: https://doi.org/10.1017/jmech.2019.20, 2019.
  100. Lu, X. H., Jia, Z. Y., Wang, H., Feng, Y. X. 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,” Measurement: Journal of the International Measurement Confederation (SCI listed), Vol. 140, pp. 56-62, July 2019.
  101. Ning, J., Nguyen, V., Huang, Y., Hartwig, K. T., and Liang, S. Y., “Constitutive Modeling of Ultra-fine-grained Titanium Flow Stress for Machining Temperature Prediction,” Bio-design and Manufacturing (SCI listed), Vol. 2(3), pp.153-160, August 2019.
  102. Wu, C., Guo, W., Wu, Z., Li K., Li, B. and Liang, S. Y., “High Speed Toughening-based Ceramics Grinding Mechanism for Quality and Efficiency,” Journal of Advanced Mechanical Design, Systems, and Manufacturing (SCI listed), 13 (3), doi: 10.1299/jamdsm.2019jamdsm0053, 2019.
  103. Li, F., Ning, J., Wang, T., and Liang, S. Y., “Analytical Modeling and Sensitivity Analysis of the Temperature Distribution in the Planar Scanning Induction Heating based on 2D Moving Heat Source,” Journal of Mechanical Science and Technology (SCI listed), Vol. 33, Issue 10, pp. 5093-5102, 2019.
  104. 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,” accepted by Journal of Mechanics (SCI listed), doi: https://doi.org/10.1017/jmech.2019.25, 2019.
  105. Ning, J. and Liang, S. Y., “A Comparative Study of Analytical Thermal Models to Predict the Orthogonal Cutting Temperature of AISI 1045 Steel,” The International Journal of Advanced Manufacturing Technology (SCI listed), Vol. 102(9-12), pp.3109-3119, February 2019.
  106. Feng, Y., Hung, T.-P., Lu, Y.-T., Lin, Y.-F., Hsu, F.-C., Lin, C.-F., Lu, Y.-C., and Liang, S. Y., “Flank Tool Wear Prediction of Laser-assisted Milling,” Journal of Manufacturing Processes (SCI listed), Vol. 43, pp. 292-299, July 2019.
  107. Liang, S. Y., Ning, J., and Mirkoohi, E., “A Closed-form Solution for Temperature Prediction in Selective Laser Melting Considering Boundary Condition” Materials Science Forum (EI listed), Vol. 982, pp. 98-105, 2019.
  108. 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.
  109. 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," accepted by International Journal of Advanced Manufacturing Technology (SCI indexed), Vol. 107, pp. 4069-4076, April, 2020.
  110. 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.
  111. 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 (EI listed),Vol. 56, No. 9, pp. 252-264, May 2020.
  112. 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.
  113. 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.
  114. 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.
  115. 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.
  116. 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.
  117. 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.
  118. Li, F., Li, X., Wang, T., Rong, Y., and Liang, S. Y., "In-process Residual Stresses Regulation DuringGrinding through Induction Heating with Magnetic Flux Concentrator," International Journal of Mechanical Sciences (SCI listed), Vol. 172, doi: 10.1016/j.ijmecsci.2019.105393, 2020.
  119. Lu, X. H., Ruan, F. X., Han, P. Z., Zou, Y. and Liang, S. Y., “Comprehensive Laboratory Testing and Perform Evaluation of Chain-type Tool Magazine and ATC,” accepted by International Journal of Manufacturing Research (EI listed) , 2020 (in print).
  120. 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.
  121. 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.
  122. Wang Z., Liu, X., Li M., Liang S. Y, Wang, L., Li, Y., Meng B., “Intelligent Monitoring and Control Technology of Cutting Chatter,” accepted by Journal of Mechanical Engineering, Nov 20, 2020.
  123. 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.
  124. 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.
  125. 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), doi: https://doi.org/10.1007/s00170-020-05304-y, Vo. 107, pp.4159-4172, 2020.
  126. 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.
  127. 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.
  128. 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, 2020.
  129. 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.
  130. 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.
  131. 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.
  132. 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, Sept 2020.
  133. 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.
  134. 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.
  135. 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.
  136. 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, Dec 2020.
  137. 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.
  138. 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.
  139. Lu, X., Luan, Y., Meng, X., Feng, J., and Liang, S. Y., “Prediction Model of Cutting Force in Micro-milling Single Crystal Copper,” accepted by International Journal of Manufacturing Research(EI listed), 2020.
  140. 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.
  141. 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.
  142. 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.
  143. 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.
  144. 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.
  145. 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.
  146. 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.
  147. 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.
  148. 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), doi: 10.1080/10910344.2020.1752240, April 2020.
  149. 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.

 

B. Referred Conference Papers

  1. Ayhan, B., Kwan, C., and Liang, S. Y., “An Accurate Remaining Life Prediction Algorithmfor Bearings,” Proceedings, IEEE International Conference on Prognostics and Health Management (ICPHM), Seattle, WA, USA, June 11-13, 2018.
  2. Ayhan, B., Kwan, C., and Liang, S. Y., “High Performance Remaining Life PredictionAlgorithms for Gearbox,” Proceedings, IEEE International Conference on Prognostics and Health Management (ICPHM), Seattle, WA, USA, June 11-13, 2018.
  3. Pan, Z., Feng, Y., Liang, S.Y., “Microstructural Sensitive Flow Stress Modeling of Ti-6Al-4V in the Machining Process,” Proceedings, ASME International Manufacturing Science and Engineering Conference MSEC 2018 (EI listed), College Station, Texas, July 2018.
  4. Liu, X., Li, H., Li, M., Liang, S. Y., “Research on the Intelligent Tool Changer with Decision Tree Algorithm in Processing,” Proceedings, International Symposium of Computation Numerical Control Machining, 2018. Xi’an, China, June 3-5, 2018.
  5. Liu, X., Gao, Hainkng, Yue, C., Wang, L., Liang, S. Y., “Analytical Prediction of Part Dynamics and Process Damping,” Proceedings, 51st CIRP Conference on Manufacturing Systems (EI listed), Stockholm, Sweden, May 16-18, 2018.
  6. Feng, Y., Pan, Z., Lu, X. and Liang, S.Y. "Analytical and Numerical Predictions of Machining-Induced Residual Stress in Milling of Inconel 718 Considering Dynamic Recrystallization", Proceedings, ASME 13th International Manufacturing Science and Engineering Conference (EI listed), 2018, College Station, June 18-22, 2018.
  7. Feng, Y., Hung, T.-P., Lu, Y.-T., Lin, Y.-F., Hsu, F.-C., Lin, C.-F., Lu, Y.-C., and Liang, S. Y., “Prediction of Surface Hardness in Laser-assisted Milling,”Proceedings, ASME 14th International Manufacturing Science and Engineering Conference(MSEC)(EI listed), 2019, USA, June 10–14, 2019.
  8. Liang, S. Y., Ning, J., and Mirkoohi, E., “A Closed-form Solution for Temperature Prediction in Selective Laser Melting Considering Boundary Condition” Proceedings, 3rd International Conference on Advanced Manufacturing and Materials (ICAMM) (EI listed), Beijing, May 29-31, 2019.
  9. Liang, S. Y., Lu, Y., and Xie, R., “Intelligent Diagnosis and Signal Processing of Vibration Signal from Rotating Machinery”, Proceedings, 1st International Conference on Advances in Signal Processing and Artificial Intelligence (ASPAI), 2019, Barcelona, Spain, March 20-22, 2019.
  10. Lu, X. H., Wang, F. R., Yang K., Feng, Y. X., and Liang, S. Y., “An Indirect Method for the Measurement of Micro-milling Forces,” Proceedings, 14th International Manufacturing Science and Engineering Conference (MSEC), (EI listed), 2019, Erie, PA, June 10-14, 2019.
  11. Mirkoohi, E., Sievers, D. E., and Liang, S. Y.,”Effect of Time Spacing and Hatching Space on Thermal Material Properties and Melt Pool Geometry in Additive Manufacturing of S316L,” Proceedings, ASME 14th International Manufacturing Science and Engineering Conference, (MSEC) (EI listed), Erie, PA, June 10-14, 2019.
  12. 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.
  13. 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.
  14. Liang, S. Y., “Non-iterative Prediction of Metal Additive Manufacturing,” Proceedings, 11th International Conference onAdvanced Materials Research (ICAMR), Singapore, January 21-24, 2021.

 

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), 2017 (under review).
  2. 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 listed), 2017 (under review).
  3. Mirkoohi, E., Dobbs, J. R., and Liang, S. Y., “An Analytical Modeling of the Residual Stress Considering the Dynamic Recrystallization,” submitted to SME Journal of Manufacturing Processes (SCI listed), 2019 (under review).
  4. Mirkoohi, E., Hong, C. T.,Yo, Y. L., and Liang, S. Y., “Flow Softening and Microstructure Evolution Affected Residual Stress in Laser Powder Bed Fusion,” submitted to International Journal of Advanced Manufacturing Technology (SCI listed), 2019 (under review).
  5. Mirkoohi, E., Seivers, D. E., Garmestani, H., and Liang, S. Y., ”Effects of Scan Strategy on Thermal Properties and Temperature Field in Selective Laser Melting,” submitted to CIRP Journal of Manufacturing Science and Technology(SCIlisted), 2020 (under review).
  6. Cai, L., Feng, Y., and Liang, S. Y., “Analytical Modeling of Residual Stress in End-Milling with Minimum Quantity Lubrication,” submitted to Journal of Mechanical Science and Technology(SCI listed), 2020 (under review).
  7. Cai, L., Feng, Y., and Liang, S. Y., “Analytical Modelling of End-Milling Forces with Minimum Quantity Lubrication,” submitted to Industrial Lubrication and Tribology (SCI listed), 2020 (under review)
  8. Mirkoohi, E., Tran, H. C., Lo, Y. L., Chang, Y. C., Lin, H. Y., and Liang, S. Y., “Effect of Pre-Heating on Residual Stress in Powder Bed Fusion,” submitted to Meccanica (SCI listed), 2020 (under review)
  9. Cai, L., Feng, Y., Lu, Y., Lin, Y., Hsu, F., Hung, T. and Liang, S. Y., “Analytical Prediction of Milling Temperature with Minimum Quantity Lubrication,” submitted to Journal of Materials Processing Technology (SCI listed), 2020 (under review).
  10. 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,” submit to Acta Materialia (SCI listed), 2020 (under review).
  11. Yue, C. Zhang J., Liu, X., Chen Z., Liang, S. Y., Wang, L., “Research Progress on Machining Deformation of Thin-walled Parts in Milling Process,” submitted to Chinese Journal of Aeronautics, 2020 (In Chinese)
  12. Mahdavi, M., Liang, S. Y., and Garmestani. H., "Prediction of Yield Strength of Selective Laser Melted Ti-6Al-4V Alloy using Melt PoolGeometry," under review, submitted to Journal of Materials Engineering and Performance (SCI listed), 2020 (under review).
  13. Wang, W., Ning, J., Liang, S. Y., “Analytical Prediction of Balling, Lack-of-fusion and Keyholing Thresholds in Powder Bed Fusion”, submitted to Advances in Manufacturing (SCI listed), 2020 (under review)
  14. Wang, W., Ning, J., Liang, S. Y., “Prediction of Keyhole Porosity in Laser Powder-bed Fusion Additive Manufacturing,” submitted to Advances in Manufacturing (SCI listed), 2020 (under review)
  15. Hu D., Yue, C., Zhang A., Liu, X., Liu Z., Liang, S. Y., “Simulation of Engine Valve Guide Reaming Process and Blade Optimization,” submitted to Mechanical Science and Technology for Aerospace Engineering, 2020.
  16. Liu, X. Wang, Z., Li, M., Yue, C., Liang, S. Y., Wang, L., "Milling Chatter Feature Extraction based on PSO-CE-VMD and MPE," submitted to International Journal of Advanced Manufacturing Technology (SCI listed), 2020 (under review).
  17. Mahdavi, Liang, S. Y., and Garmestani, H., “Prediction of the β-phase Crystallographic Texture and its Effect on the Strength of Selective Laser Melted Ti-6Al-4V”, submitted to Journal of Manufacturing Processes (SCI listed), 2020 (under review).
  18. Cai, L., Feng, Y., and Liang, S. Y., “Analytical Model for Flank Tool Wear Prediction in End Milling with Minimum Quantity Lubrication,” submitted to The International Journal of Advanced Manufacturing Technology (SCI listed), 2020 (under review)
  19. Yue, C., DU Y., Li X., Chen Z., Liu, X., Liang, S. Y., Wang, L., “Analytical Modeling of Tool Rake Face Wear in Milling,” submitted to Journal of Mechanical Engineering, 2020.
  20. Mirkoohi, E., Tran, H. C., Lo, Y. L., Chang, Y. C., Lin, H. Y., and Liang, S. Y., “Effect of Powder Layer Thickness on Residual Stress in Powder Bed Fusion”, submitted to Meccanica (SCI listed), 2020 (under review)
  21. Mirkoohi, E., Tran, H. C., Lo, Y. L., Chang, Y. C., Lin, H. Y., and Liang, S. Y., “Effect of Hatch Spacing on Residual Stress in Powder Bed Fusion,” submitted to Journal of Mechanical Science (SCI listed), 2020 (under review)