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Engineering Advances

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Article http://dx.doi.org/10.26855/ea.2023.06.016

Static Strength Analysis on Steel Structure of Locomotive Cooling and Design Explorer Optimization

Meng Zhao

1Jilin Railway Technology College, Jilin, Jilin province, China.

2Woosong University, Daejeon, South Korea.

*Corresponding author: Meng Zhao

Published: July 27,2023

Abstract

With the comprehensive development of diesel locomotive and the improvement of running speed, the design of locomotive cooling system get more attention, the basic is to ensure that the strength of the structure in order to make locomotive's operation safe and reliable. This paper establish cooling steel structure finite element model with parametric method, and gets static strength results of the structure under different conditions. In order to make the structure satisfy the standard of intensity and shorten the design cycle, putting the design parameters and the extract command of equivalent stress into the export file of Hyper Mesh, using Workbench Design Explorer modules with experimental design method, based on Monte-Carlo method simulating sampling points, and fitting for response surface between the Design parameters and target parameters. Setting structure’s optimi-zation algorithm and then the program automatically calculates the candidate design points. After those design points are determined, it needs to calculate again, steel structure meets the design requirements of strength criteria in locomotive running.

References

[1] Bao Weiqian. Locomotive and Bogie [M]. Beijing: China Railway Publishing House, 2010.

[2] Yu Maohong, M. oshimine, Qiang Hongfu, Zan Yuewen. Development and Prospect of strength Theory [J]. Engineering Mechanics, 2004, 06:1-20.

[3] Chen Ying, Li Dongfang, Yu Zhenzhen, Wang Haifeng. Optimization Design of skid Seat Based on Workbench Platform Parametric Modeling [J]. Petrochemical Equipment, 2012, 1:33-35.

[4] Xue Hailin. Research on Construction Period Risk Evaluation Based on Improved Monte Carlo Method [D]. Dalian University of Technology, 2015.

[5] GAO Lei. Study on Tolerance Analysis and Optimization Design Method Based on Monte Carlo Method [D]. Harbin University of Science and Technology, 2015.

[6] TB/T 1335-1996 Code for Design, Test and Qualification of railway vehicle Strength [S]. Beijing: China Railway Publishing House, 1996, 3-14.

[7] Dong Guixi, Wang Zangzhu. Current Situation and Prospect of Structure Optimization Design [J]. Electric Power Information, 2000, 01.5-7.

[8] Cheng Gengdong. Basis of Engineering Structure Optimization Design [M]. Dalian: Dalian University of Technology Press, 2012.

[9] H Katsui, K Harada, N Kondo, M Hotta. Preparation of boron carbon oxynitride phosphor film via laser chemical vapor deposition and annealing. Surface and Coatings Technology, 2020.

[10] N Xu, N Ming, X Han, B Man, H Zhang. Large-energy passively Q-switched Er-doped fiber laser based on CVD-Bi2Se3 as saturable absorber. Optical Materials Express, 2019.

[11] G Zhao, Z Li, M Hu, L Li, N He, M Jamil. Fabrication and performance of CVD diamond cutting tool in micro milling of oxygen-free copper. Diamond and Related Materials, 2019.

[12] M Peng, et al. Blackbody-sensitive room-temperature infrared photodetectors based on low-dimensional tellurium grown by chemical vapor deposition. Science Advances, 16 Apr 2021, Vol 7, Issue 16.

[13] Yoshitaka Nakatsu, Yoji Nagao, Kazuma Kozuru, Tsuyoshi Hirao, Eiichiro Okahisa, Shingo Masui, Tomoya Yanamoto, Shin-ichi Nagahama, "High-efficiency blue and green laser diodes for laser displays," Proc. SPIE 10918, Gallium Nitride Materials and Devices XIV, 109181D (1 March 2019); https://doi.org/10.1117/12.2505309.

How to cite this paper

Static Strength Analysis on Steel Structure of Locomotive Cooling and Design Explorer Optimization

How to cite this paper: Meng Zhao. (2023). Static Strength Analysis on Steel Structure of Locomotive Cooling and Design Explorer Optimization. Engineering Advances3(3), 235-240.

DOI: https://dx.doi.org/10.26855/ea.2023.06.016