Department of Mechanical Design and Manufacturing

Name: Yan He

Title: Professor / Doctoral supervisor

Email Address: heyan@cqu.edu.cn

Office Room Number: Room 202, Institute   of Manufacturing Engineering

Office Tel: 023-65103159

Background of Education and Work Experience

  • Sep,1998---Jun,2002  Chongqing University, Student (B.Eng)

  • Sep,2002---Jan,2007  Chongqing University, Student (Ph.D)

  • Jan,2008---Aug,2010  Chongqing University, Lecturer

  • Sep,2010---Sep,2015  Chongqing University, Associate Professor

  • Aug,2013---Aug,2014 Purdue University (USA), Visiting scholar

  • Sep,2015---Present Chongqing University, Professor (Outstanding Young Scholars of Chongqing, Chongqing Young Top-notch Talent)

  • Jan,2021---Present Young Cheung Kong Scholar, Ministry of Education

Research Field

  • Green Design and Manufacturing

  • Intelligent Manufacturing

  • Industrial Big Data and Artificial Intelligence

  • High Energy Efficiency Manufacturing and Cleaner Production

Research and Honors

  1. Honors

  • Young Scholar of the Cheung Kong Scholars Program of the Ministry of Education

  • The Second Prize of Natural Science of the Ministry of Education in 2018, The Energy Consumption Law and Regulation of machining" machine-shop "in Low Carbon Manufacturing Environment. (ranked 1st)

  • The Second Prize of Natural Science Prize of Hubei Province In 2006, "Research on the Theoretical Basis and Technical Method System of Green Manufacturing" (ranked 4th)

  1. Selected Research Grants Last 5 Years

  • The Science Fund for Distinguished Young Scholars of Chongqing, Theory and Method of Efficient Low-carbon Cooperative Control for Machining, 2020.

  • National key R & D program, "Manufacturing Basic Technology and Key Components" Key Special Project, Basic manufacturing process resources and environmental load data collection and evaluation and database platform construction, 2019.

  • The International (Regional) Joint Research Program of National Natural Science of China, Low carbon manufacturing with innovative laser processing technologies, 2019.

  • National Science and Technology Major Project, Demonstration project of flexible production line for efficient processing and assembly of passenger car transmission assembly, 2018.

  • Major National Science and Technology Project, "High-end CNC Machine Tools and Basic Manufacturing Equipment", Research and Application of Key Technology for High Efficiency Production Line of Ball Screw Pair, 2017.

  • Made in China 2025 Specifical Program---Green Manufacturing System Integration Project, Green Key Technological Innovation and Integrated Application in the Whole Process of Aerospace Structural Parts Manufacturing, 2017.

  • Made in China 2025 Specifical Program---Green Manufacturing System Integration Project, Construction and Application of Green Design Platform for Large Stamping Equipment Based on Whole Life Cycle, 2017.

  • General Program of National Natural Science of China, Cooperative Mechanism and Optimization of Green Multi-edge Hard Dry Cutting Process Performance for Energy Consumption Characteristics, 2016.

     

  1. Academic Part-time

  • Member of International Standardization Working Committee of National Technical Committee on Metal Cutting Machine Tools of Standardization Administration (SAC/TC22).

  • Principal Member of the Engineering and Physical Sciences Research Council (EPSRC) Low Carbon Manufacturing Alliance.

  • The First Member of Industrial Big Data and Intelligent System Branch of Chinese Society of Mechanical Engineering.

  • Member of Extreme Manufacturing Branch of Chinese Mechanical Engineering Society.

  • Expert of China Green Supply Chain Alliance Expert Advisory Committee.

  • Member of Environmental Protection and Green Manufacturing Technology Branch of Chinese Mechanical Engineering Society.

  • Member of the Working Group of the National Green Factory Promotion Alliance.

  • IET-Collaborative Intelligent Manufacturing Lead Visiting Editor (British Institute of Engineering Technology)

  • Editorial Board Member of Journal of Remanufacturing (an important international Journal of green manufacturing owned by Springer)

  • Expert of "High-end CNC Machine Tool and Basic Manufacturing Equipment" National Science and Technology Major Project, National Key Research and Development Program, International Cooperation Project of National Natural Science Foundation of China.

  • Science and Technology Award Review Expert of Ministry of Education.

  • Member of Chongqing Intelligent Manufacturing Expert Group, Expert of Chongqing Basic Science Research 14th Five-Year Plan.

  1. Selected Journal Publication

  2. Liu, C., He, Y. *, Li, Y., Wang, Y., Wang L., Wang S., Wang, Y. (2020). Predicting residual properties of ball screw raceway in whirling milling based on machine learning. Measurement.

  3. Wang Yulin, Yin Chen, Li Li, Zha, Wenbin, Pu, Xiaonan, Wang, Jianxiu, He, Yan*. Modeling and optimization of dynamic performances of large-scale lead screws whirl milling with multi-point variable constraints[J]. Journal of Materials Processing Technology, 2020, 276: 116392.

  4. He Yan*, Wu Pengcheng, Li Yufeng, Wang Yulin, Tao Fei., Wang Yan. (2020). A generic energy prediction model of machine tools using deep learning algorithms. Applied Energy, 275, 115402.

  5. Yan He, Chuanpeng Hao, Yulin Wang, Yefeng Li*, Yan Wang, Lingyu Huang, Xiaocheng Tian. An Ontology-based Method of Knowledge Modelling for Remanufacturing Process Planning [J]. Journal of Cleaner Production, 2020:120952.

  6. Liu C, Y. He Y*, Wang YL*Li YF, Wang SL, Wang LX, Wang Y. Effects of process parameters on cutting temperature in dry machining of ball screw. ISA Transactions, 2020,

  7. Li YF, He Y*, Wang YL*, Tao F, Sutherland JW. An optimization method for energy-conscious production in flexible machining job shops with dynamic job arrivals and machine breakdowns[J]. Journal of Cleaner Production, 2020:120009.

  8. Wang LX, He Y*, Wang YL*, Li YF, Wang SH, Wang Y. Analytical modeling of material removal mechanism in dry whirling milling process considering geometry, kinematics, and mechanics[J]. International Journal of Mechanical Sciences, 2020, 172: 105419.

  9. He, Yan*, Wang, Lexiang, Wang, Yulin*, Li, Yufeng, Wang, Shilong, Wang, Yan, Liu, Chao & Hao, Chuanpeng. An analytical model for predicting specific cutting energy in whirling milling process[J]. Journal of Cleaner Production, 2019, 240: 118181.

  10. Liu Chao*, He Yan*, Wang Yulin*, Li, Yufeng, Wang, Shilong, Wang, Lexiang, Wang, Yan. An investigation of surface topography and workpiece temperature in whirling milling machining[J]. International Journal of Mechanical Sciences, 2019, 164: 105182.

  11. He Y, Liu C, Wang Y, et al. Analytical modeling of temperature distribution in lead-screw whirling milling considering the transient un-deformed chip geometry[J]. International Journal of Mechanical Sciences, 2019, 157: 619-632.

  12. Wang Y, Zhang C, He Y, et al. Development and evaluation of non-contact automatic tool setting method for grinding internal screw threads[J]. International Journal of Advanced Manufacturing Technology, 2018, 98(1-4):1-14.

  13. Yan He, Tao Huang, Yan Wang, Yi Nie, YuFeng Li, Yulin Wang, A New Lightweight Design Method Integrating Shape Optimization with Life Cycle Assessment for Extrusion Dies, Journal of Cleaner Production, 2017,150: 47-57, doi: 10.1016/j.jclepro.2017.02.186

  14. Yan He*, Yufeng Li, Tao Wu, John W. Sutherland. An energy-responsive optimization method for machine tool selection and operation sequence in flexible machining job shops. Journal of Cleaner Production, 2015, 87:245-254

  15. Li Y, He Y*, Wang Y, et al. A modeling method for hybrid energy behaviors in flexible machining systems[J]. Energy, 2015, 86: 164-174.

  16. He Y*, Wu T, Zhang C, et al. An improved MIP heuristic for the intermodal hub location problem[J]. Omega, 2015, 57: 203-211.

  17. Wang Y, He Y*, Li Y, et al. An analysis framework for characterization of electrical power data in machining[J]. International Journal of Precision Engineering and Manufacturing, 2015, 16(13): 2717-2723.

  18. Li Y, He Y, Wang Y, et al. A framework for characterising energy consumption of machining manufacturing systems. International Journal of Production Research, 2014, 52(2):314-325.

  19. He Y, Liu B, Zhang X, et al. A modeling method of task-oriented energy consumption for machining manufacturing system. Journal of Cleaner Production, 2012, 23(1):167–174.

  20. He Y. Analysis and estimation of energy consumption for numerical control machining. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 2012, 226:255-266.

  21. He Yan, Liu Fei. Methods for integrating energy consumption and environmental impact considerations into the production operation of machining processes. Chinese Journal of Mechanical Engineering. Chinese Journal of Mechanical Engineering, 2010, 23(4):428-435. (SCI: 000281150300004)

  22. Li, X., Ran, Y., Zhang, G., & He, Y. (2019). A failure mode and risk assessment method based on cloud model. Journal of Intelligent Manufacturing, 1-14.

  23. Wu T, Xiao F, Zhang C, He Y, Liang Z*. The green capacitated multi-item lot sizing problem with parallel machines[J]. Computers & Operations Research, 201898:149-164.

  24. Li Y F*, Wang Y L, He Y, et al. Modeling Method for Flexible Energy Behaviors in CNC Machining Systems[J]. Chinese Journal of Mechanical Engineering, 2018, 31(1):6.

  25. Zhao G Y, Liu Z Y, He Y, et al. Energy Consumption in Machining: Classification, Prediction, and Reduction Strategy[J]. Energy, 2017, 133.

  26. Lijia Tao, Yulin Wang, Yan He, Hutian Feng, Yi Ou and Xiaofeng Wang. A Numerical Method for Evaluating Effects of Installation Errors of Grinding Wheel on Rotor Profile in Screw Rotor Grinding. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 2016, 230(8): 1381-1398.

  27. Liang, Z; He, Y; Wu, T; Zhang, CR. An informative column generation and decomposition method for a production planning and facility location problem. International Journal of Production Economics, 2015,170:88-96.

  28. Chen C, Wang Y, Ou H, Yan H, et al. A review on remanufacture of dies and moulds. Journal of Cleaner Production, 2014, 64: 13-23.

  29. Shaohua Hu, Fei Liu, Yan He, Tong Hu. An on-line approach for energy efficiency monitoring of machine tools[J]. Journal of cleaner production, 2012, 27: 133-140.

  30. Wu T, Zhang D, He Y. A novel mixed integer programming formulation and progressively stochastic search for capacitated lot sizing. Journal of Systems Science and Systems Engineering, 2011, 20(2):173-192.

  31. HU S, LIU F, HE Y, et al. Characteristics of Additional Load Losses of Spindle System of Machine Tools. Journal of Advanced Mechanical Design Systems and Manufacturing, 2010, 4(7):1221-1233.