Selected Journal Publication
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.
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.
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.
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.
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,
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.
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.
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.
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.
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.
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.
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
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
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.
He Y*, Wu T, Zhang C, et al. An improved MIP heuristic for the intermodal hub location problem[J]. Omega, 2015, 57: 203-211.
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.
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.
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.
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.
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)
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.
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, 2018,98:149-164.
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.
Zhao G Y, Liu Z Y, He Y, et al. Energy Consumption in Machining: Classification, Prediction, and Reduction Strategy[J]. Energy, 2017, 133.
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.
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.
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.
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.
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.
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.