Research on optimization of basic rail top bending prediction model

Author:

Liu Chunjiang,Dong Zhikui,Ma Long,Hou Xinyu,Qiao Nanbing

Abstract

AbstractSince the basic rail of the switch needs to have a certain bending angle when the train changes direction, top bending is an important link in the production process of the basic rail. The three-point pressure top bending method is simple, flexible and widely used. In this study, the traditional three-point pressure bending is optimized, the influence of the pick width in the model is considered, a corresponding rebound model is established, and the model is applied to the pressure bending process of the basic rail. The bilinear strengthening model of the material was used to construct the bending moment expressions at different positions during the top bending process, and the relationship between the load and bending deflection in the elastic stage and elastic-plastic stage was obtained. The final top bending prediction model was obtained by combining the load-deflection model in the bending stage and the rebound stage. The correctness of the theoretical mathematical model was verified by establishing finite element simulations, and the theoretical calculation results were compared with the experimental results. The results showed that the top bend prediction optimization model established in this study had high feasibility and met the machining accuracy requirements.

Publisher

Springer Science and Business Media LLC

Reference25 articles.

1. Dao, S. et al. High-speed railway turnout technical system and operation status. China Railway 5, 18–22 (2017).

2. Shu, W. Current situation and development of railway switches in my country. Railway Construct. 6, 42–46 (2015).

3. Ping, W., Rong, C., Jing, X., Xiao, M. & Jian, W. Review of high-speed railway turnout system theory and engineering practice research. J. Southwest Jiaotong Univ. 51, 357–372 (2016).

4. Shinkin, V. Springback coefficient of round steel beam under elastoplastic torsion. CIS Iron Steel Rev. 15, 23–27 (2018).

5. Stachowicz, F. Bending with upsetting of copper tube elbows. J. Mater. Process. Technol. 100, 236–240 (2000).

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3