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 (2022-2024) PUBLICATIONS IN ARCHIVAL JOURNALS (revised 1/1/2025)

  –  Excusive of Conference Proceedings –

  1. 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), Vol 9, pp.1247–1265, 2022.

  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,” International Journal of Industrial Engineering: Theory, Applications, and Practice (SCI listed), Vol. 28, Issue 2, pp. 148-161, 2021.

  3. 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.

  4. 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.

  5. 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.

  6. 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 (EI listed), Vol 57, No 9, pp. 147-166, 2021.

  7. 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.

  8. 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.

  9. 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 (EI listed), Vol 57, No 10, pp. 196-219, 2021.

  10. 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.

  11. 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.

  12. 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.

  13. 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.

  14. 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.

  15. 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.

  16. 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.

  17. Yue, C. X., Li, M., Zhang, M., Liu, X. L., and Liang, S. Y., "The Modified Constitutive Model Considering Strain-Temperature Coupling and Dynamic Recrystallization Effective for Fem Simulation of Milling Process," International Journal of Advanced Manufacturing Technology (SCI listed), Vol. 119, No. 1-2, pp. 1217-1232, Mar 2022.

  18. 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.

  19. 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.

  20. 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 (EI listed), Vol. 43, No. 4, pp. 525164, 2022.

  21. Yue, C. X., Li, X. C., Liu, X. L., Du, J. B., Liang, S. Y., Wang, L. H., and Sun, Y. J., "Wear Behavior of Tool Flank in the Side Milling of Ti6al4v: An Analytical Model and Experimental Validation," Proceedings of the Institution of Mechanical Engineers Part C-Journal of Mechanical Engineering Science (SCI listed), Vol. 236, No. 3, pp. 1631-1644, Feb 2022.

  22. 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.

  23. 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.

  24. 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.

  25. 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,” Advances in Manufacturing (SCI listed), Vol.11, No. 3, pp.428-443, 2023.

  26. 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.

  27. Ji, X., Wang, Y. F., and Liang, S. Y., “Simulation of Temperature Field in Selective Laser Considering Melt Pool Flow Effect, “ Applied Laser, Vol. 42, No. 8, 2022.

  28. 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.

  29. 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.

  30. 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.

  31. 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,” Journal of Mechanical Engineering (EI listed), Vol. 58, No. 17, pp. 309-320, Sep 2022.

  32. 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.

  33. 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.

  34. 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.

  35. 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.

  36. 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.

  37. 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.

  38. 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.

  39. 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.

  40. 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.

  41. 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.

  42. 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.

  43. 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.

  44. 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.

  45. 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.

  46. 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.

  47. 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.

  48. 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), ), Vol. 48, I. 21, pp. 32366-32379, 2022.

  49. 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.

  50. 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.

  51. 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.

  52. 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.

  53. 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.

  54. 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.

  55. 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), Vol. 36, No. 6, pp. 830-841, 2023.

  56. 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), 14(8):1542, 2023.

  57. 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), doi: 10.1007/s10845-022-01954-9, 2023.

  58. 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.

  59. 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.

  60. Mahdavi, M., Alaghmandfard, R., Odeshi, A., Mohammadi, M., Liang, S. Y., and Garmestani, H., "Inelastic Mechanical Behaviour of an Additively Manufactured Titanium Alloy: A Statistical Continuum Mechanics Theory Perspective," Engineering Research Express (ESCI listed), 5, No. 4: 045081, 2023.

  61. Chen, Z., Yue, C., Liu, X., and Liang, S. Y., “An Analytical Machining Deformation Model of H-section Multi-frame Beam Integral Components,” Journal of Materials Processing Technology (SCI listed), Vol. 314, No. pp. 15, May 2023.

  62. 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,” International Journal of Advanced Manufacturing Technology (SCI listed), Vol. 127, No. 9-10, pp. 4253-4269, 2023.

  63. 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,” Journal of the Brazilian Society of Mechanical Sciences and Engineering (SCI listed), Vol. 45, No. 6, pp. 139-153, 2023.

  64. Wei, X. D., Liu, X. L., Yue, C. X., Wang, L. H., Liang, S. Y., and Qin, Y. Y., "A Multi-Sensor Signals Denoising Framework for Tool State Monitoring Based on Ukf-Cyclegan," Mechanical Systems and Signal Processing (SCI listed), Vol. 200, No. 110420, Oct 2023.

  65. Chen, Z., Yue, C., Liu, X., and Liang, S. Y., “Corner Milling Force Prediction and Improvement Method of Aviation Thin-walled Structural Parts,” International Journal of Advanced Manufacturing Technology (SCI listed), Vol. 126, No. 7-8, pp. 2785-2801, Jun 2023.

  66. Zhou, J. Q., Yue, C. X., Liu, X. L., Xia, W., Wei, X. D., Qu, J. X., Liang, S. Y., and Wang, L. H, “Classification of Tool Wear State based on Dual Attention Mechanism Network,” Robotics and Computer-Integrated Manufacturing (SCI listed),  Vol. 83, pp.102575, Oct 2023. 

  67. Wei, M., Liu, X. L., Yue, C. X., Wang, L., and Liang, S. Y., “Multi-scale One-dimensional Convolution Tool Wear Monitoring Based on Multi-model Fusion Learning Skills,” Journal of Manufacturing Systems (SCI listed), Vol. 70, pp. 68-69, Jul 2023.

  68. Liu, F., Yu, A. W., Wu, C. J., and Liang, S. Y., “Process Analysis and Topography Evaluation for Monocrystalline Silicon Laser Cutting-off,” Micromachines (SCI listed), 14(8):1542, 2023.

  69. Lu, X. H., Luan, Y. H., Qiao, J. H., Yang, B. H., Zhang, W. S., and Liang, S. Y., “Optimization of Process Parameters in Friction Stir Welding of 2219 Aluminum Alloy Thick Plate”, International Journal of Advanced Manufacturing Technology (SCI listed), Vol. 129, No. 9-10, pp. 4201-4215, 2023.

  70. Zhang, B. W., Liu, X. L., Yue, C. X., Liu, S. Y., Li, X. B., Liang, S. Y., and Wang, L. H., "An Imbalanced Data Learning Approach for Tool Wear Monitoring Based on Data Augmentation," Journal of Intelligent Manufacturing (SCI listed), doi: 10.1007/ s10845-023-02235-9, 2023.

  71. 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), 238(5), pp. 669–681, 2024.

  72. Guo, C. F., Liu, L., Liu, S. Y., Li, K. M., Wu, C. J. and Liang, S. Y., "Research Progress of Anti-icing Performance of Laser Processing for Superhydrophobic Surfaces,” accepted by Surface Technology (EI listed), (in print), 2023.

  73. Li, M. X., Yue, C. X., and Liang, S. Y., “Research on Design and Application of Endmill for Milling Titanium Alloy Frame Parts,” Journal of Mechanical Engineering (EI listed), Vol. 59, No. 23, pp. 283-390, Dec 2023.

  74. Cai, L., Feng, Y., and Liang, S. Y., “Analytical Modelling of Cutting Force in End-Milling with Minimum Quantity Lubrication,” International Journal of Precision Engineering and Manufacturing (SCI listed), doi: 10.1007/s12541-023-00837-0, 2024.

  75. Wu, C. J., Chen, Y. T., Wei, X. Y., Jiang, S.F. and Liang, S. Y. “Hydrophobic Microarray Surface Design and Wettability Transformation Mechanism of μ-SLA 3D Manufactured Conic Structure,” accepted by Journal of Advanced Manufacturing Science and Technology (Scopus Indexed), 4(2), 2024004, 2024.

  76. Lu, X. H., Zeng, F. M., Xv, K., Zhang, Y., and Liang, S. Y., “Prediction of Tool Wear During Micro-milling Inconel 718 based on Long Short-term Memory Network,” Precision Engineering (SCI listed), Vol. 86, pp. 195-202, March 2024.

  77. Yang, Z., Zhang, S., Ji, X., Liang, S. Y., “Model-Based Sensitivity Analysis of the Temperature in Laser Powder Bed Fusion,” Materials (SCI listed), 17, 2565, 2024.

  78. Lu, X. H., Yang, B. H., Zhou, Y., Sun, S. X., and Liang, S. Y., “Influence of Process Parameters on Temperature Field, Microstructure and Mechanical Properties of FSW Thick Aluminum Alloy 2219,” Journal of Materials Engineering and Performance (SCI listed), Vol. 33, No. 14, pp. 7087-7097, July 2024.

  79. Lu, X. H., Yang B. H., Meng X. Y., Sun, S. X., Luan, Y. H., and Liang, S. Y., “Temperature Prediction of FSW Medium Thickness 2219 Aluminum Alloy based on Intelligent Algorithm”, International Journal of Manufacturing Research (EI listed), Vol. 19, No. 1, pp. 98-118, 2024.

  80. Lu, X. H., Sui, G. C., Zhang, W. S., Sun, S. X., and Liang, S. Y., “Prediction of Extreme Temperatures in Weld Zone of Friction Stir Welding,” International Journal of Advanced Manufacturing Technology (SCI listed), Vol. 131, No. 1, pp. 505-514, March 2024.

  81. Lu, X. H., Li, X. C., Teng, L., Luan, Y. H., Zhang, H. T., Zhang, Y., and Liang, S. Y., “Simulation of Temperature Field and Optimization of Welding Parameters in Friction Stir Welding Thick Large Circular Storage Tank,” International Journal of Advanced Manufacturing Technology (SCI listed), Vol. 132, No. 5-6, pp. 2807-2821, May 2024.

  82. Lu, X. H., Xv, G. Q., Cong, C., Gu, H., and Liang, S. Y., “Residual Stress Prediction of Micro-milling Inconel 718 Thin-walled Parts,” International Journal of Advanced Manufacturing Technology (SCI listed), Vol. 133, No. 3-4, pp. 1305-1316, July 2024.

  83. Lu, X. H., Xv, K., Wang X. X., Cong, C., Zeng, F. M., and Liang, S. Y., “Modeling of Laser-assisted Micro-milling Inconel 718,” Precision Engineering (SCI listed), Vol. 88, pp. 854-866, June 2024.

  84. 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,” Journal of the Brazilian Society of Mechanical Sciences and Engineering (SCI listed), Vol. 46, No. 7, July 2024.

  85. Bang, H. Y., Lu, X. H., Sun, S. X., and Liang, S. Y., “Tensile Strength Prediction and Process Parameters Optimization of FSW thick AA2219-T8 based on ANN-GA,” Journal of the Brazilian Society of Mechanical Sciences and Engineering (SCI listed), Vol. 46, No. 7, July 2024.

  86. Wu, C. J., Liu, F., Wen, J. Z., Xia, P. Y. and Liang, S. Y., ”Grinding Defect Characteristics and Removal Mechanism of Unidirectional C f /SiC Composites”, Advances in Manufacturing (SCI listed), (in print), 2024.

  87. Cai, L., Gharrari, B., Huo, Y., Li, M., and Liang, S. Y., “Closed-form Full-field Modeling of Thermal Stress in Metal Powder Bed Fusion Considering Part Boundary,” Journal of Manufacturing Processes (SCI listed), doi:  10.1016/j.jmapro.2024.05.028,  May 2024.

  88. Lu, X. H., Chen Y., Cong C., Wang K. D., and Liang, S. Y., “Finite Element Method based Modeling of Cutting Forces and Cutting Temperature in Micro-milling LF21,” Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture (SCI listed), doi: 10.1177/09544054241261095, 2024 (in print).

  89. Li, X. B., Liu, X. L., Yue, C. X., Wang, L. H., and Liang, S. Y., "Data-Model Linkage Prediction of Tool Remaining Useful Life Based on Deep Feature Fusion and Wiener Process," Journal of Manufacturing Systems (SCI listed), Vol. 73, pp. 19-38, April 2024.

  90. Wang, L., Yue, C. X., Liu, X. L., Li, M., Xu, Y. S., and Liang, S. Y., "Conventional and Micro Scale Finite Element Modeling for Metal Cutting Process: A Review," Chinese Journal of Aeronautics (SCI listed), Vol. 37, No. 2, pp. 199-232, February 2024.

  91. Ding, Z., Teng, Y., Guo, W., Wu, C., and Liang, S. Y., “Investigations on Materials Removal Mechanism during Laser-assisted Grinding Silicon Nitride Ceramics,” International Journal of Advanced Manufacturing Technology (SCI listed), Vol. 132, pp. 4345-4362, doi: 10.1007/s00170-024-13622-8, 2024.

  92. Zhang, B. W., Liu, X. L., Yue, C. X., Liang, S. Y., and Wang, L. H., "Meta-Learning-Based Approach for Tool Condition Monitoring in Multi-Condition Small Sample Scenarios," Mechanical Systems and Signal Processing (SCI listed), Vol. 216, pp. 111444, July 2024.

  93. Luan, Z. H., Zhao, M., Mao, J., Feng, Y. X., and Liang, S. Y., “Investigation of the Flow Stress Model for Cr4Mo4V Bearing Steel under Ultrasonic Vibration Conditions”, Metals (SCI listed), Vol. 14, pp. 143, January 2024.

  94. Jiang, S., Liu, H., Zuo, Y., Sun, D., Li, J., Liu, K., Wang, Y., Liang, S. Y., “Influence of Feed Entrance Angle on Transverse Tearing Burr Formation in the Milling of Superalloy Honeycomb with Ice Filling Constraint,” Thin-Walled Structures (ESCI listed), doi: 10.1016/j.tws.2024.112472, 2024.

  95. Zhou, W., Y., Wu, C., J., Wang, Q.,X., Zhou, H., and Liang S.,Y., “Surface Reconstruction and Deviation Analysis of Complex Surface Based on Cross-Section Point Cloud Extraction,” accepted by Chinese Journal of Mechanical Engineering (SCI listed), (in print).

  96. Zhou, J., Yue, C., Qu, J., Xia, W. W., Liu, X., Liang, S. Y., and Wang, L., “BDTM-Net: A Tool Wear Monitoring Framework based on Semantic Segmentation Module,” Journal of Manufacturing Systems (SCI listed), (SCI listed), Vol. 77, pp. 576-590, Dec 2024.

  97. Zhao, M., Zhang, Z. H., Mao, J., Zhang, L. Q., Liua, G., Feng, Y. X., and Liang, S. Y., “An Improved Iterative Predictive Model for Grinding Residual Stress Considering Material Microstructure Evolution”, ASME Transactions, Journal of Manufacturing Science and Engineering (SCI listed), doi: 10.1115/1.4067451, 2024.

  98. Lu, X. H., Tian Y. H., Wang Z. D., Wang X. X., and Liang, S. Y., “Numerical Simulation and Parameters Optimization of Invar 36 Alloy Multi-pulse Femtosecond Laser Processing,” International Journal of Precision Engineering and Manufacturing (SCI listed), doi: 10.2351/7.0001551, 2024.

  99. Lu., X., Zhng, Y., Sun, Z., Gu, H., Jiang, C., and Liang, S. Y., “Multi-objective Optimization of Cutting Parameters for Micro-milling Nickel-based Superalloy Thin-walled Parts based on Improved NSGA-II Algorithm,” The International Journal of Advanced Manufacturing Technology (SCI listed), Vol. 135, No.1-2, pp. 775–786, 2024.

  100. Zhang, Z. H., Luan, Z., Zhao, M., Mao J., Liua, G., Zhang, L. Q., and Liang, S. Y., “Mechanism and Prediction of Residual Stress Generation in Ultrasonic Vibration-assisted Grinding of Bearing Steel,” Journal of Advanced Manufacturing Technology (SCI listed), Vol. 134, pp. 5821-5840, October 2024.

  101. Lu, Y., Yue, C., Liu, X., Wang, L., Liang, S. Y., Xia, W., and Dou, X., “Research on Digital Twin Monitoring System during Milling of Large Parts,” Journal of Manufacturing Systems (SCI listed), Vol. 77, pp. 834-847, 2024.

  102. Hu, D. S., Yue, C. X., Liu, X.L., Jiang, Z. P., Xu, Y. S., Lu, J. H, and Liang, S. Y., “Drilling Process of Indexable Drill Bit based on Coupled Eulerian-Lagrangian Method: A Simulation Study,” Chinese Journal of Aeronautics (SCI listed), Vol. 37, Issue 11, pp. 477-492, 2024.

  103. Qu, J. X., Yue, C.X., Zhou, J.Q., Xia, W., Liu, X. L., and Liang, S. Y., “On-machine Detection of Face Milling Cutter Damage based on Machine Vision,” The International Journal of Advanced Manufacturing Technology (SCI listed), Vol. 133, pp.1865–1879, 2024.

  104. Liu, Q., Liu, J. Q., Liu, X. L., Ma, J., Zhang, B. W., Wang, L. H., and Liang, S. Y., “A Method for Remaining Useful Life Prediction of Milling Cutter Using Multi-scale Spatial Data Feature Visualization and Domain Separation Prediction Network,” Mechanical Systems and Signal Processing (SCI listed), Vol. 225, pp. 112251, 2024.

  105. Lu, X. H., Tian, Y. H., Luan, Y. H., Luo, J. Q., and Liang, S. Y., “Multi-objective Optimization of Machining Parameters in Micro-milling LF 21 based on the AHP-entropy Weight Method,” International Journal of Advanced Manufacturing Technology (SCI listed), Vol. 131, No.9-10, pp. 4595-4609, 2024.