Education

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

Research Areas and Descriptors

Background

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

Research

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

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

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

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

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

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

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

Distinctions

  • American Society of Mechanical Engineers (ASME)
    • Milton C. Shaw Manufacturing Research Medal, 2016
    • International Manufacturing Science and Engineering Conference  Chair, 2008
    • International Symposium on Flexible Automation Conference Chair, 2007
    • Blackall Machine Tool and Gage Award, 2005
    • Fellow, 2002
    • Manufacturing Engineering Division Executive Committee, 2001-2005
    • Japan-U.S.A. Symposium on Flexible Automation Program Committee Chair, 2000
  • Society of Manufacturing Engineers (SME)
    • Fellow, 2012
    • President of the North American Manufacturing Institution  (NAMRC/SME), 2006
    • Scientific Committee Chair, 2002-2004
    • Robert B. Douglas Outstanding Young Manufacturing Engineer Award,1991
  • Woodruff School Faculty Fellow, 1997-2002
  • Society of Automotive Engineers Ralph R. Teetor Educational Award, 1995

Patent

  • Method and Apparatus for Dielectric Sensing in a Thermoplastic Winding Process, U. S. Patent No. 5,495,177, with J. A. Urquhart-Foster, February 27, 1996

Publications

Most Recent Publications (revised 1-3-2017)

  • Li, B., Ni, J., Yang, J., and Liang, S. Y., “Study on High-speed Grinding Mechanisms for Quality and Process Efficiency,” International Journal of Advanced Manufacturing Technology (SCI archived), Vol. 70, Issue 5, pp. 813-819, February 2014.
  • Ji, X.; Li, B., Zhang, X., and Liang, S. Y. “The Effects of Minimum Quantity Lubrication (MQL) on Machining Force, Temperature, and Residual Stress”, International Journal of Precision Engineering and Manufacturing (SCI archived), Vol. 15, No. 11, pp. 2443-2451, 2014.
  • Ji,X., Zhang,X. P., and Liang, S. Y., “Predictive Modeling of Residual Stress in Minimum Quantity Lubrication Machining," International Journal of Advanced Manufacturing Technology(SCI archived), Vol. 70, No. 9-12, pp: 2159-2168, 2014.
  • Ji,X., Zhang,X., Li, B., and Liang, S. Y., “Modeling the Effects of Minimum Quantity Lubrication on Machining Force, Temperature, and Residual Stress,” Machining Science and Technology (SCI archived), Vol. 18, Issue 4, pp. 547-564, 2014.
  • Fergani, O., Tabei, A., Garmestani, H., and Liang, S. Y., “Prediction of Material Microstructural Texture Evolution in Machining via Viscoplastic Self-Consistent Modeling,” Journal of Manufacturing Processes (SCI archived), Vol. 16, pp. 543-550, 2014.
  • Tabei, A., Fergani, O., Garmestani, H., and Liang, S. Y.“Analysis of Micro-Texture and Grain Size Distributions in Machined Aluminum Alloy 7075,” Advanced Materials Research(EI archived), Vol. 1052, pp. 489-494, 2014.
  • Ding, Z., Li, B., Zou, P., and Liang, S. Y., “Material Phase Transformation during Grinding,” Advanced Materials Research (EI archived), Vol. 1052, pp. 503-508, 2014.
  • Fergani, O., Mkkadem, A., Lazoglu, I., Mansori, M., and Liang, S. Y., “Analytical Modelling of Residual Stress and the Induced Deflection of a Milled Thin Plate,” Journal of Advanced Manufacturing Technology(SCI archived), Issue 1-4, Vol. 75, pp. 455-463, 2014.
  • Rajora, M., Shih, A. H., Zou, P., Li, B. Z., and Liang, S. Y., “A Hybrid Neural Network for Prediction of Surface Roughness in Machining,” Applied Mechanics and Materials (EI archived), Vols. 633-634, pp. 579-582, 2014.
  • Fergani, O., Tabei, A., Garmestani, H., and Liang, S. Y., “Prediction of Material Microstructural Texture Evolution in Machining via Viscoplastic Self-Consistent Modeling,” Transactions of SME, North American Manufacturing Research Institution (NAMRI/SME) (EI archived), Vol. 42, 2014.
  • Shih, A. H., and Liang, S. Y., “Magnetic Levitation and Rotation for Feasibility of Free-form Machining,” Applied Mechanics and Materials(EI archived), Vols. 496-500, pp 1048-1051, 2014.
  • Fergani, O., Mamedov, A., Lazoglu, I., Yang, J., and Liang, S. Y., “Prediction of Residual Stress Induced Distortions in Micro-milling of Al7050 Thin Plate”, Applied Mechanics and Materials(EI archived), Vol. 472, pp. 677-681, 2014.
  • Ji, X., Shih, A. H., Rajora, M., Shao, Y., and Liang, S. Y. “A Hybrid Neural Network for Prediction of Surface Residual Stress in MQL Face Turning,” Applied Mechanics and Materials(EI archived),Vols. 633-634, pp. 574-578, 2014.
  • Wu, Z., Li, B., Yang, J., and Liang, S. Y., “Effect of Grinding Wheel on the Dynamic Performance of High-Speed Spindle Systemwith an Improved FE Model,” Journal of Vibroengineering (SCI archived), Vol. 16, Issue 4, p. 1698-1708, June 2014.
  • Yang, J. R., Xu, W., Rajora, M., Shih, A. H., Tan, H. Z., Jin, L. W., Lou, H. F., and Liang, S. Y., “A Hybrid Neural Network for Prediction of Flow Shop Scheduling Performance,” Artificial Intelligence and Industrial Applications, Vol. 67, pp. 311-318, 2014.
  • Liang, S. Y., Li, Y., Billington, S. A., Zhang, C., Shiroishi, J., Kurfess, T. R., and Danyluk, S., “Adaptive Prognostics for Rotary Machineries,” Proceedings of International Conference on Structural Integrity, Kalpakkam, India, pp. 847-853, February 4-7, 2014.
  • Fergani, O., Shao Y., Lazoglu, I., and Liang, S. Y., “Temperature Effect on Grinding Residual Stress,” Procedia CIRP 14(EI archived), pp. 2–6, 2014.
  • Shao, Y. and Liang, S. Y., “Predictive Force Modeling in MQL (Minimum Quantity Lubrication) Grinding,” Proceedings of the ASME Manufacturing Science and Engineering Conference (MSEC) (EI archived), Detroit, doi: 10.1115/MSEC2014-3971, June 9-13, 2014.
  • Fergani, O, Shao Y, and Liang, S Y, “Effect of Temperature on the Subsurface Microstructure and Mechanical Properties of AA 7075-T6 during Orthogonal Cutting,” Procedia CIRP 13(EI archived), pp. 181-185, 2014.
  • Ji, X. and Liang, S. Y., “Analysis of Thermal and Mechanical Effects on Residual Stress in Minimum Quantity Lubrication (MQL) Machining”, Paper #B-08, Proceedings of International Forum on Systems and Mechatronics(IFSM), Tainan, Taiwan, October 12-15, 2014.
  • Fergani, O., Shao, Y., Lazoglu, I., and Liang, S. Y., “Temperature Effects on Grinding Residual Stress,” Procedia CIRP(EI archived), Vol. 14, pp 2-6, 2014.
  • Fergani, O. and Liang, S. Y., “The Effect of Machining Thermo-mechanical Loading on Workpiece Average Grain Size,” International Journal of Advanced Manufacturing Technology (SCI archived), Vol. 80, Issue 1, pp. 21-29, 2015.
  • Shao, Yamin, Li, B., and Liang, S. Y., “Predictive Modeling of Surface Roughness in Grinding of Ceramics,” Machining Science and Technology (SCI archived), Vol. 19, Issue 2, pp. 325-338, 2015.
  • Ji, X., Shih, A. H., Rajora, M., Shao, Y., and Liang, S. Y., “Optimization of Tensile Residual Stress on Machined Surface in MQL Turning,” Applied Mechanics and Materials(EI archived), Vols. 713-715, pp. 209-212, 2015.
  • Zou, P., Li, B., and Liang, S. Y., “An Improved General Regression Neural Network for Prediction Based on Small Samples Data,” Applied Mechanics and Materials (EI archived), Vol. 743, pp. 646-651, 2015.
  • Li, B., Jiang, X., Yang, J., and Liang, S. Y., “Effects of Cutting Depth on the Distortion and Redistribution of Residual Stress During the Milling of Thin-walled Part”. Journal of Materials Processing Technology (SCI archived), Vol. 216, pp. 223-233, 2015.
  • Zhang, Y., Zou, P., Li, B., and Liang, S. Y., “Study on Optimized Principles of Process Parameters for Environmentally Friendly Machining Austenitic Stainless Steel with High Efficiency and Little Energy Consumption,” International Journal of Advanced Manufacturing Technology (SCI archived), Vol.79, pp.89-99, 2015.
  • Yang, J., Xu, L., Lu, Z., Xiang, Q., Liu, B., Liang, S. Y., “Textile Processing Anomaly Detection Based on Time Domain Features and GA-SVM,” Applied Mechanics and Materials(EI archived), Vol. 740, pp 706-713, 2015.
  • Ding, Z., Li, B., and Liang, S. Y., “Phase Transformation and Residual Stress of Maraging C250 Steel during Grinding,” Materials Letters (SCI archived), Vol. 154, pp. 37-39, 2015.
  • Shao, Y., Li, B., Chiang, K.N., and Liang, S. Y., “Physics-based Analysis of Minimum Quantity Lubrication Grinding,” International Journal of Advanced Manufacturing Technology (SCI archived), Vol. 79, Issue 9, pp. 1659-1670, 2015.
  • Zou, P., Li, B., and Liang, S. Y., “An Improved General Regression Neural Network for Prediction Based on Small Samples Data,” Applied Mechanics and Materials (EI archived),Vol. 743, pp 646-651, 2015.
  • Ding, Z., Li, B., and Liang, S. Y., “Maraging SteelPhase Transformation at High Strain Rate during Grinding,” International Journal of Advanced Manufacturing Technology (SCI archived), Vol. 80 (1), pp. 711-718, 2015.
  • Wu, C., Li,B., Liang, S. Y., and Yang, J., “Experimental Investigations on Cylindrical Grinding Temperature ofSilicon Carbide,” Advanced Materials Research (EI archived), Vols. 1120-1121, pp. 1251-1256, 2015.
  • Guo, M., Li, B., Yang, J., Li, W., and Liang, S. Y., “Active Piezoelectric Vibration Isolation System of Machine Tools,” Advances in Engineering Research(EI archived), Atlantis Press, doi:10.2991/iceem-15.2015.42, 2015.
  • Chang, H. H., Su, Y. F., Liang, S. Y., Chiang, K. N., “The Effect of Mechanical Stress on Electromigration Behavior,” Journal of Mechanics (SCI archived), Vol. 31, Issue 04, pp. 441-448, August 2015.
  • Zou, P., Li, B., Yang, J. G., Shi, S., and Liang, S. Y., “Hierarchical Ant-Genetic Algorithm Based Multi-objective Intelligent Approach for Flexible Job Shop Scheduling,” Chinese Mechanical Engineering,Vol. 26 (21), pp. 2873-2884, 2015.
  • Zhang, Y., Jin, Xiang, Li, B., and Liang, S. Y.“Dynamic Model and Optimization Design Method for Spindle Systems with High-speed Ball Bearings,” Journal of Vibration and Shock (EI archived), 34 (18), pp. 57-62, 2015.
  • Guo, M., Li, B., Yang, J., Liang, S. Y., “Study of the Experimental Modal Analysis Method of Machine Tool Spindle System,” Journal of Vibroengineering (SCI archived), Vol. 17, Issue 6, pp. 3173-3186, 2015.
  • Chen, P-C, Su, Y-F, Yang, S-Y, Liang, S. Y., and Chiang, K-N., “Determination of Initial Crack Strength of Silicon Die using Acoustic Emission Technique,” Journal of Electronic Materials (SCI archived), Vol 44,Issue 7, pp 2497-2506, July 2015.
  • Tabei, A., Shih, D. S., Garmestani, H., and Liang, S. Y., “Derivation of Process Path Functions in Machining of Al Alloy 7075,” Journal of Materials Engineering and Performance (SCI archived), Volume 24,Issue 11, pp 4503-4509, November 2015.
  • Ji, X. and Liang, S. Y., “Model-based Sensitivity Analysis of Machining-induced Residual Stress under Minimum Quantity Lubrication (MQL)”, Journal of Engineering Manufacture (SCI archived), doi: 10.1177/0954405415601802, 2015.
  • Venkatachalam, S., Li, X., Fergani, O., Yang, J. G., and Liang S. Y., “Microstructure Effects on Cutting Forces and Flow Stress in Ultra-precision Machining of Polycrystalline Brittle Materials,” ASME Transactions, Journal of Manufacturing Sciences and Engineering (SCI archived), Issue 2, Vol. 137, doi: 10.1115/1.4029648, 2015.
  • Shao, Y., Fergani, O., Ding, Z., Li, B., Liang, S. Y., “Experimental Investigation of Residual Stress in Minimum Quantity Lubrication Grinding of AISI 1018 Steel,” ASME Journal of Manufacturing Science and Engineering (SCI archived), Vol. 138(1), doi: 10.1115/1.4029956, 2015.
  • Shao, Y., Fergani, O., Welo, T., and Liang, S. Y., “Prediction of Residual Stress in Multi-step Orthogonal Cutting,” Proceedings of the ASME Manufacturing Science and Engineering Conference (MSEC)(EI archived), Charlotte NC, June 8-12, 2015.
  • Guo, M., Li, B., Yang, J., Liang, S. Y., “Influence of Dynamic Force on Vibration of  Micro-machine Tool Spindle,” Proceedings of International Conference on Advanced Materials, Structures and Mechanical Engineering (ICAMSME) (EI archived), Incheon, Korea, May 29-31, 2015.
  • Ding, Z., Li, B., Pan, Z., Liang, S. Y., “Experimental Investigation of Residual Stress in Micro-hole Grinding of Maraging Steel,” Proceedings of International Conference on Advanced Materials, Structures and Mechanical Engineering (ICAMSME),(EI archived),Incheon, South-Korea, May 29-31, 2015.
  • Tabei, A., Shih, D. S., Garmestani, H., and Liang, S. Y., “Effects of Machining on the Microstructure of Aluminum Alloy 7075,” Proceedings of 3rd International Conference on Applied Mechanics, Mechatronics and Intelligent System (AMMIS 2015),Nanjing, China, June 19-20, 2015.
  • Ji, X., Rajora, M., Shao, Y., Zou, P., Li, B., and Liang, S. Y., “Prediction and Optimization of Residual Stresses on Machined Surface and Sub-Surface in MQL Turning,” Proceedings of 3rd International Conference on Applied Mechanics, Mechatronics and Intelligent System (AMMIS 2015), Nanjing, China, June 19-20, pp. 93-99, 2015.
  • Zou, P., Li, B., and Liang, S. Y., “An Improved General Regression Neural Network for Prediction Based on Small Samples Data,”Proceedings of International Conference on Mechanical, Electronic and Information Technology Engineering, Chongqing, China, March 21-22, 2015.
  • Liang, S. Y., Rajora, M., and Zou P., “Intelligent Manufacturing System for Next Generation Factories”Proceedings of 6th International Conference on Mechanical Science and Engineering (ICMSE2015), Qingdao, China, July 17-19, 2015.
  • Rajora, M., Zou P., and Liang, S. Y., “Research on Intelligent Systems for Energy Engineering,” Proceedings of International Conference on Energy and Mechanical Engineering (eme2015), Wuhan, China, Oct 17-18, 2015.
  • Shao, Y., Fergani, O., Li, B., and Liang, S. Y., “Residual Stress Modeling in Minimum Quantity Lubrication Grinding,” International Journal of Advanced Manufacturing Technology (SCI archived), 83 (5), pp. 743-751, 2016.
  • Ding, Z., Li, B., Shao, Y., Liang, S. Y., “Phase Transition at High Heating Rate and Strain Rate during Maraging Steel C250 Grinding,” Materials and Manufacturing Processes (SCI archived), doi: 10.1080/10426914.2015.1117622, 31 (13), 2016.
  • Tabei, A., Shih, D. S., Garmestani, H., and Liang, S. Y., “Micro-texture Evolution in Aggressive Machining of Al Alloy 7075,” Materials and Manufacturing Processes (SCI archived), Vol. 31, Issue 13, pp. 1709-1717, 2016.
  • Majora, M., Zou, P., and Liang, S. Y., “Intelligent Manufacturing System for Next Generation Factories,” accepted by Advances in Intelligent Systems Research, Atlantis Press, 2016 (in print)
  • Fergani, O., Jiang, X., Shao, Y., Welo, T., Yang, J., and Liang, S. Y., “Prediction of Residual Stress Regeneration in Multi-pass Milling,” International Journal of Advanced Manufacturing Technology (SCI archived), Vol. 83, Issue 5, pp 1153–1160, March 2016.
  • Li, Q, Liang, S. Y., and Yang, J., “Bearing Fault Pattern Recognition Using Harmonic Wavelet Sample Entropy and Hidden Markov Model,” Journal of Shanghai Jiaotong University (EI archived), in Chinese, (05) 735, pp. 723-729, 2016.
  • Zhao, M., Ji, X., Li, B., Liang, S. Y.,” Investigation on the Influence of Material Crystallographic Orientation on Grinding Force in the Micro-grinding of Single-crystal Copper with Single Grit”. International Journal of Advanced Manufacturing Technology, (SCI archived), 1-9, doi:10.1007/s00170-016-9605-1, 2016.
  • Ding, Z., Li, B., and Liang, S. Y., “Material Phase Transformation at High Heating Rate during Grinding,” Machining Science and Technology (SCI archived), Vol. 20, No. 2, pp. 290-311, 2016.
  • Ji, X., Zhang, X. P., and Liang,S. Y., “Predicting the Effects of Cutting Fluid on Machining Force, Temperature and Residual Stress by Analytical Method,” International Journal of Computer Applications in Technology(EI archived), Vol. 53, Issue 2, pp.135-141, 2016.
  • Guo, M., Li, B., Ding, Z., and Liang, S. Y., “Empirical Modeling of Dynamic Grinding Force based on Process Analysis,” International Journal of Advanced Manufacturing Technology(SCI archived), doi: 10.1007/s00170-016-8465-z, 2016.
  • Ji, X., Zou, P., Li, B., Rajora, M., Shao, Y., & Liang, S. Y., “Prediction and Optimization of Residual Stresses on Machined Surface and Sub-Surface in MQL Turning”,Applied Mechanics, Mechatronics and Intelligent Systems, 93-99. doi:10.1142/9789814733878_0015, 2016.
  • Wu, C., Li, B., and Liang, S. Y., “A Critical Energy Model for Brittle-Ductile Transition in Grinding considering Wheel Speed and Chip Thickness Effects,” Journal of Engineering Manufacture, (SCI archived), Vol. 230(8), pp. 1372-1380, 2016.
  • Tabei, A., Shih D. S., Garmestani. H., Liang, S. Y., “Dynamic Recrystallization of Al Alloy 7075 in Turning,” ASME Transactions, Journal of Manufacturing Science and Engineering(SCI archived), 138(7), doi: 10.1115/1.4032807, 2016.
  • Zou, P., Li, B., Yang, J., Shi, S., and Liang. S. Y.,“Heuristic Knowledge Based Multi-objective Intelligent Approach to Flexible Job Shop Scheduling,” accepted by China Mechanical Engineering, in Chinese, 2016. (in print)
  • Pang, J. Z., Wu, C. J., Li, B., Zhou Y., and Liang, S. Y., “Experimental Investigation of the Real Contact Arc Length Measurement in the Cylindrical Plunge Grinding,” Materials Science Forum (EI archived), doi: 10.1051/matecconf/20166705023, 2016.
  • Su, Y.-F., Liang, S. Y., and Chiang, K.-N., “Design and Reliability Assessment of Novel 3D-IC Packaging,” Journal of Mechanics(SCI archived), doi: 10.1017/jmech.2016.82, 2016
  • Ji, X. and Liang, S. Y., “Analysis of Thermal and Mechanical Effects on Residual Stress in Minimum Quantity Lubrication (MQL) Machining”, Journal of Mechanics (SCI archived), 1-6. doi:10.1017/jmech.2016.14, 2016.
  • Li, Q., Liang, S. Y., Yang, J. “Bearing Fault Pattern Recognition Using Harmonic Wavelet Sample Entropy and Hidden Markov Model,” Journal of Shanghai Jiaotong University(EI archived), Vol. 50, No. 5, pp. 723-735, May 2016.
  • Wu, C.,Li, B.,Yang, J., and Liang, S. Y., “Experimental Investigations of Machining Characteristics of SiC in High Speed Plunge Grinding,” Journal of Ceramic Processing Research (SCI archived), Vol. 17, No. 3, pp. 223-231, 2016.
  • Pan, Z., Lu, Y.T., Lin, Y. F., Hung, T. P., Hsu, F. C., and Liang, S. Y., “Analytical Model for Force Prediction in Laser-assisted Milling of IN718,” International Journal of Advanced Manufacturing Technology (SCI archived), doi:10.1007/s00170-016-9629-6, 2016.
  • Wu, C., Li, B., Yang, J., and Liang, S. Y., “Prediction of Grinding Force for Brittle Materials Considering Co-existing of Ductility and Brittleness,” International Journal of Materials Processing Technology(SCI archived), doi: 10.1007/s00170-016-8594-4, 2016.
  • Li, B., Ding, Z., Xiao, J., and Liang, S. Y., “Maraging Steel 3J33 Phase Transformation during Micro-grinding,” Materials Letters (SCI archived), Vol. 164, pp. 217–220, February 2016.
  • Li, Q., Liang, S. Y., Yang, J., and Li, B., “Long Range Dependence Prognostics for Bearing Vibration Intensity Chaotic Time Series,” Entropy (SCI archived), vol.18(1), pp. 23-37, 2016.
  • Fergani, O., Berto, F., Welo, T., Liang, S. Y., “Analytical Modeling of Residual Stress in Additive Manufacturing,” Fatigue & Fracture of Engineering Materials & Structures (SCI archived), accepted for publication (in print), 2016.
  • Pan, Z., Garmestani, H., Shih, D. S., and Liang, S. Y., “Prediction of Machining-Induced Phase Transformation and Grain Growth of Ti-6Al-4V Alloy,” International Journal of Advanced Manufacturing Technology(SCI archived), Vol 87, Issue 1, pp 859–866, 2016.
  • Rajora, M., Zou, P., Yang, Y. Guang, Fan, Z. W., Chen, H. Y., Wu, W. C., Li, B., and Liang, S. Y., “A Split-optimization Approach for Obtaining Multiple Solutions in Single-objective Process Parameter Optimization,” SpringerPlus (SCI archived), Vol. 5 (1), pp. 14-24, 2016.
  • Yue, C., Liang, S. Y., and Liu, X., “A Model for Predicting Chatter Stability Considering Contact Characteristics between Milling Tool and Workpiece,” International Journal of Advanced Manufacturing Technology(SCI archived), dot: 10.1007/s00170-016-8953-1, 2016.
  • Wu, C., Li, B., Pang, J., and Liang, S. Y., “Ductile Grinding of Silicon Carbide in High Speed Grinding,” Journal of Advanced Mechanical Design, Systems and Manufacturing(SCI archived), Vol. 10, No. 2, doi: 10.1299/jamdsm.2016jamdsm0020, 2016.
  • Lu, Y., Rajora, M., Zou, P., and Liang, S.Y.,” Physics-embedded Machine Learning: Case Study with Electrochemical Micro-Machining”, accepted by Machine, Special Editionof Precision Manufacturing Processes, 2016, (in print)
  • Wu, C., Li, B., Liu, Y., Pang, J., and Liang, S. Y., “Strain Rate Sensitive Analysis for Grinding Damage of Brittle Materials,” International Journal of Advanced Manufacturing Technology(SCI archived), doi: 10.1007/s00170-016-9237-5,2016.
  • Du, Z., Zhang, D., Hou, H., and Liang, S. Y., “Peripheral Milling Force Induced Error Compensation using Analytical Force Model and APDL Deformation Calculation,” International Journal of Advanced Manufacturing Technology(SCI archived), doi: 10.1007/s00107-016-9052-z, 2016.
  • Yue, C., Liu X., Ding Y., and Liang, S. Y., “Off-line Error Compensation in Corner Milling Process,” Journal of Engineering Manufacture (SCI archived), doi: 10.1177/0954405416666901, 2016.
  • Pan, Z., Shih, D. S., Tabei, A., Garmestani, H., and Steven Y. Liang “Modeling of Ti-6Al-4V Machining Force Considering Material Microstructure Evolution,” International Journal of Advanced Manufacturing Technology(SCI archived), doi: 10.1007/s00170-016-9964-7, 2016.
  • Rajora, M., Zou P., and Liang, S. Y., “A Hybrid RF-GA Approach to Bottleneck Machine Diagnosis and Suggestion in Parallel Machine Job-shop Scheduling,” submitted to Proceedings of the ASME Manufacturing Science and Engineering Conference (MSEC)(EI archived), Blacksburg, VA, June 27-July 1, 2016.
  • Ding, Z., Li, B., Fergani, O., Shao, Y., Liang, S. Y., “Investigation of Temperature during Maraging Steel Micro-grinding,” Proceedings of 2016 International Conference on Design, Materials and Manufacturing (ICDMM), Kuala Lumpur, Malaysia, March 25-27, 2016, also appears in Key Engineering Materials(EI archived).
  • Li, Qing, Liang, S. Y., and Song W., “Revision of Bearing Fault Characteristic Spectrum using LMD and Interpolation Correction Algorithm,” Procedia CIRP on Intelligent Manufacturing in the Knowledge Economy Era(EI archived), 56, pp. 182-187, 2016.
  • Davis, B., Hartwig, T. K., Liang, S. Y., Huang Y., “Evaluation of Chip Morphology during Machining of ECAE Titanium,” accepted by Proceedings of International Symposium on Flexible Automation (ISFA), August 1-3, 2016, Cleveland, OH.
  • Liu, H. B., Wu, D., Liang, S. Y., Wang, Y. Q., Sheng, X. J., “Machining-induced Surface Residual Stress Prediction Based on Cutting Action Decomposition,” Proceedings of the 10th International Conference on Residual Stress(IRCS 10), 3-7 July, 2016, Sydney, Australia.
  • Fergani, O., Pan, Z., Liang, Steven S. Y., Atmani, Z., Welo, T., “Microstructure Texture Prediction in Machining Processes,” Procedia CIRP (EI archived), Vol, 46, pp. 595-598, 2016.
  • Rajora, M., Zou, P., Xu, W., Jin, L., Chen, W., and Liang, S.Y., “Modelling of Decision Making in the Production of Stator Core Using a GA-ANN Approach”, Proceedings of International Conference on Artificial Intelligence: Techniques and Applications (AITA2016), (EI archived), Shanghai, China, September 25-26, 2016.
  • Ding, Z., Li, B., Fergani, O., Shao, Y., and Liang, S. Y., “Investigation of Temperature and Energy Partition During Maraging Steel Micro-grinding,” Proceeds of 9th International Conference on Digital Enterprise Technology(DET 2016), March 29 - 31, 2016, Nanjing, China, also in Procedia CIRP (EI archived), Vol, 56, pp. 284–288, 2016.
  • Zou, P., Rajora, M., Fen, Z.W., Yang, M.Y., Chen, H.Y., Wu, W.C., Li, B., and Liang, S.Y., “Electrochemical Micro-Machining Parameter Optimization based on Hybrid Neural Network and Genetic Algorithm” accepted by Proceedings of International Conference on Manufacturing Technologies (ICMT2017), (EI archived), San Diego, January 19-21, 2017.
  • Lu, X., Wang, H., Jia, Z., Si, L., and Liang, S. Y., “The Effect of Tool Nose Corner Radius and Main Cutting Edge Radius on Micro-milling Temperature,” submitted to Proceedings of the ASME 12th International Manufacturing Science and Engineering Conference (EI archived), June 4-8, 2017, Los Angeles, 2017 (under review)
  • Fergani, O., Elmansori, M., and Liang, S. Y., “Additive Manufacturing Process Thermomechanical Signature and Residual Stress: an Analytical Approach,” submitted to Proceedings of the ASME 12th International Manufacturing Science and Engineering Conference (EI archived), June 4-8, 2017, Los Angeles, 2017 (under review)
  • Lu X., Jia, Z., Feng, Y., and Liang, S. Y., “A New Prediction Method for Predicting the Micro Milling Cutter Early Failure/breakage,” submitted to Proceedings of the ASME 12th International Manufacturing Science and Engineering Conference (EI archived), June 4-8, 2017, Los Angeles, 2017 (under review)
  • Pan, Z., Feng, Y., Ji, X., and Liang, S. Y., “Turning Force Prediction of AISI 4130 Considering Dynamic Recrystallization,” submitted to Proceedings of the ASME 12th International Manufacturing Science and Engineering Conference(EI archived), June 4-8, 2017, Los Angeles, 2017 (under review)
  • Ayjhan, B., Kwan, C., and Liang, S. Y., “A Portable Prognostic System for Bearing Monitoring,” Proceedings, 14th International Symposium on Neural Networks (ISNN), Sapporo, Japan, June 21-23, 2017. (under review)
  • Zou, P., Li, B., Rajora, M., Liang, S. Y., “A Multi-chromosome Genetic Algorithm for Solving Hierarchical constrained Problem: Methodology and Application to Reentrant Job Shop Scheduling Problem with Parallel Machines,” submitted to Journal of Scheduling,(SCI archived), (under review)
  • Zishan, D., Li, B., Guo, M., Fergani, O., Liang, S. Y., “Predictive Modeling of Micro-grinding Force incorporating Phase Transformation Effects,” submitted to International Journal of Materials Processing Technology(SCI archived), (under review)
  • Li, Q., Yang, J., and Liang, S. Y., “SiC Grinding Stability Analysis based upon harmonic Wavelet and Lipschitz Exponent Methodology,” submitted to Machining Science and Technology (SCI archived), (under review)
  • Li, Q., Ji, Xia, and Liang, S. Y., “Nonlinear Analysis and Diagnosis of Milling Tool Wear using AR Bi-spectrum and Chaotic Characteristics,” submitted to Machining Science and Technology (SCI archived), (under review)
  • Wu, C., Li, B., Liu, Y., and Liang, S. Y., “Surface Roughness Modeling for Grinding of Brittle Materials Considering co-existence of Brittleness and Ductility,” submitted to Applied Surface Science (SCI archived), (under review)
  • Fergani, O., Yousfi, M., Ding, Z., Welco, T., and Liang, S. Y., “A Physics-Based Approach to Relate Grinding Process Parameters to Tribological Behavior of Ground Surfaces,” submitted to ASME Trans., Journal of Manufacturing Science and Engineering (SCI archived), (under review)
  • Zhao, M., Ji, X., Li, B., and Liang, S. Y., “Ploughing Force Variation with Evolution of Crystallographic Orientation in Micro Grinding of Copper,” submitted to Machining Science and Technology(SCI archived), (under review)
  • Pan, Z., Hung, T.-P., Jiang, Y.C., Hsu, F.-C., Wu, L.-T., and Liang, S. Y., “Heat Affected Zone in the Laser-Assisted Milling of IN 718” submitted to Journal of Manufacturing Processes(SCI archived), (under review)
  • Zou, P., Rajora, M., and Liang, S.Y., “A Two-stage Filter Split-optimization Approach for Optimizing Machine Profile Features in ECM Saw Tooth Making”, submitted to International Journal of Advanced Manufacturing Technology (SCI archived), (under review)
  • Liang, S.Y., Zou, P., and Rajora, M., ”Intelligent Manufacturing System, A review”, submitted toChinese Journal of Mechanical Engineering (SCI archived), (under review)
  • Zhao, M., Ji, X., Li, B., and Liang, S. Y., “The Effect of Crystal Orientation on the Polycrystalline Materials Flow Stress,” submitted to Materials Letters (SCI archived), (under review)
  • Zou, P., Rajora, M., and Liang, S. Y., “A New Algorithm Based on Evolutionary Computation for Hierarchically Coupled Constrained Optimization: Methodology and Application to Assembly Job-shop Scheduling”, submitted to Journal of Scheduling (SCI archived), (under review)
  • Lu, X., Wang, F, Wang, X., Si, L., and Liang, S. Y., “Investigation of Material Removal Rate and Surface Roughness using Multi-objective Optimization for Micro-milling of Inconel 718,” submitted to Experimental Techniques (SCI archived), (under review)
  • Lu, X., Wang, H., Jia, Z., Yixuan Feng, Y., and Liang, S. Y., “Thermal-mechanical Coupling Model during Micro-milling Nickel-based Superalloy,” submitted to International Journal of Advanced Manufacturing Technology (SCI archived), (under review)
  • Lu, X., Jia, Z., Lu, Y., Feng, Y., and Liang, S. Y., “Surface Hardness Prediction of Micro-milled nickel-base Superalloy Inconel 718,” submitted to International Journal of Advanced Manufacturing Technology (SCI archived), (under review)
  • Lu, X., Wang, H., Jia, Z., Si, L., and Liang, S. Y., “Effects of Cutting Parameters on Temperature and Temperature Prediction in Micro-milling of Inconel718,” submitted to International Journal of Materials and Product Technology (SCI archived), (under review)
  • Pan, Z., Tabei, A., Shih, D. S., Garmestani, H., Liang, S. Y., “The Effects of Dynamic Evolution of Microstructure on Machining Forces,” submitted to Journal of Engineering Manufacture (SCI archived), (under review)
  • Lu, X., Jia, Z., Zhang, H., Wang, F., and Liang, S. Y., “Tool Point Frequency Response Prediction for Micro-milling by RCSA,” submitted to Transactions of ASME, Journal of Manufacturing Science and Engineering (SCI archived), (under review)
  • Pan, Z., Shih, D. S., Garmestani, H., and Liang, S. Y., “Microstructural Sensitive Flow Stress Modeling of Ti-6Al-4V in the Machining Process,” submitted to Machining Science and Technology (SCI archived), (under review)
  • Pan, Z., Tabei, A., Shih, D. S., Dave, T., Garmestani, H., and Liang, S. Y., “Machining Induced Residual Stress Prediction of Ti-6Al-4V with A Microstructural Consideration,” submitted to Materials and manufacturing processes(SCI archived), (under review)
  • Pan, Z., Lu, Y., Shih, D. S., Garmestani, H., and Liang, S. Y., “Residual Stress Prediction for Turning of Ti-6Al-4V Considering Material Dynamic Recrystallization,” submitted to Journal of Engineering Manufacture (SCI archived), (under review)
  • Li, Q., Ji, X., and Liang, S. Y., “Over-complete Trained Dictionary and Minimization Lq Regular for Microstructure Images Inpainting,” submitted to Signal Processing: Image Communication (SCI archived), (under review)
  • Li, Q., Ji, X., and Liang, S. Y., “EBSD Microstructure Image Denoising of AA7075 Materials using VMD, Haar Wavelet Redundant Dictionary and Stein Unbiased Risk Estimator,” (in Chinese) submitted to Chinese Journal of Scientific Instrument(EI archived), (under review)
  • Li, Q., Ji, X., and Liang, S. Y., “Feature Extraction of Incipient Fault Behavior on Rotating Machinery with AR-MED and Variational Mode Decomposition,” submitted to Mechanical Systems and Signal Processing(SCI archived), (Under review)
  • Pan, Z., Feng, Y., Ji, X., Liang,S. Y., “Turning Force Prediction of AISI 4130 Considering Dynamic Recrystallization,” submitted to Journal of Engineering Manufacture(SCI archived), (under review)
  • Lu, X., Jia Z., Wang, F., and Liang, S. Y., "Experimental Investigations of Cutting Parameters Influence on Surface Roughness and Surface Roughness Prediction of Curved Surfaces in Micro-milling Inconel 718," submitted to Journal of Mechanical Science and Technology (SCI archived), (under review)