International Journal of Frontiers in Engineering Technology, 2024, 6(1); doi: 10.25236/IJFET.2024.060118.
Yutong Zuo
Department of Rail Transit, Anhui Vocational and Technical College, Hefei, Anhui, China
This paper explores the optimization of high-speed train shapes, focusing on reducing wind resistance and noise. A multi-factor ANOVA model and streamlined head optimization CST method are used to analyze structural parameters. The study first establishes a wind resistance model, selecting the TP1-type high-speed railway for its minimal air resistance. The paper then optimizes the train head shape, identifying the warhead structure as optimal for aerodynamics. Additionally, it examines noise reduction in locomotive heads, finding the platypus-shaped TP4 type most effective. Finally, the results culminate in a comprehensive optimization model for the train head shape, providing an optimal design sketch with structural parameters.
High-Speed Train Design, Aerodynamics, Wind Resistance, Noise Reduction
Yutong Zuo. Research on Head Shape Optimization of High-speed Trains Based on Multifactor ANOVA and Streamlined Head Optimization CST Methods. International Journal of Frontiers in Engineering Technology (2024), Vol. 6, Issue 1: 114-119. https://doi.org/10.25236/IJFET.2024.060118.
[1] Tian Feng. Research on Noise Trouble Assessment and Countermeasures of High-speed Railway [D]. Nanjing University, 2014.
[2] LI Yang, LIU Youmei, LIU Xiaofeng et al. Experimental study on aerodynamics of 80 km/h B-type subway train running in tunnel [J]. Metro Express Transportation, 2023, 36(05):51-58.
[3] YE Weixiang, GENG Chen, LUO Xianwu. Numerical simulation of three-dimensional airfoil cavitation considering surface curvature effect[C]//Chinese Society of Theoretical and Applied Mechanics, Journal of Hydrodynamics Editorial Board, China Shipbuilding Engineering Corporation. , Chinese Society of Naval Architecture and Marine Engineering, China Ship Scientific Research Center. Proceedings of the 16th National Hydrodynamics Conference and the 32nd National Symposium on Hydrodynamics (First Volume). Beijing Key Laboratory of Carbon Dioxide Emission Reduction and Resource Utilization Technology, Tsinghua University; State Key Laboratory of Water and Sand Science and Hydraulic and Hydropower Engineering, Tsinghua University;,2021:12. DOI:10.26914/c. cnkihy. 2021.036767
[4] Han W, He S, Yu J et al. Rapid prediction of antioxidant activity of Xue Zhu by near-infrared spectroscopy combined with partial least squares regression[J]. Physical and Chemical Inspection-Chemical Subsection, 2023, 59(07):792-797.
[5] Muoz-Paniagua J ,J. García. Aerodynamic surrogate-based optimization of the nose shape of a high-speed train for crosswind and passing-by scenarios[J]. Journal of Wind Engineering and Industrial Aerodynamics, 2019, 184:139-152.DOI:10.1016/j.jweia.2018.11.014.
[6] Zhang S , Guo Y B . Design Optimization of Cutting Parameters Using Taguchi Method and ANOVA during High-Speed Machining Hardened H13 Steel[J]. Materials science Forum, 2009, 626-627:129-134.DOI:10.4028/www.scientific.net/MSF.626-627.129.