Analytical prediction of springback based on residual differential strain during sheet metal bending

Author:

Yi H K1,Kim D W1,Van Tyne C J2,Moon Y H1

Affiliation:

1. Engineering Research Center for Net Shape and Die Manufacturing/Department of Mechanical Engineering, Pusan National University, Busan, Republic of Korea

2. Department of Metallurgical and Materials Engineering, Colorado School of Mines, Golden, Colorado, USA

Abstract

As the springback of sheet metal during unloading may cause deviation from a desired shape, accurately predicting springback is essential for the design of sheet stamping operations. Finite-element models have not been successful in predicting springback; hence there is a need for analytical models to make such predictions. In this study, a model based on differential strains after relief from the maximum bending stress is derived for six different deformation patterns in order to predict springback analytically. The springback for each deformation pattern is estimated by the residual differential strains between outer and inner surfaces after elastic recovery. Each of the six deformation patterns has a valid region of applicability, based on elastic modulus, yield strength, applied tension, and bending geometry. Analytical equations for the springback of the sheet deformed under these six deformation patterns are derived. Traditional analytical models for springback prediction have been based on elastic unloading from a bending moment. Traditional models also require the knowledge of the stress distribution through the thickness of the sheet, whereas the residual differential strain model only requires the stress state on the outer and inner surfaces of the sheet. In order to compare the residual differential strain model with the traditional bending moment model, a bending moment model is derived for the same exact deformation patterns. Results from the two models are compared for various materials.

Publisher

SAGE Publications

Subject

Mechanical Engineering

Cited by 46 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Analytical Modeling of Springback Characteristics of Layered Strip Considering Change of Young’s modulus;Journal of The Institution of Engineers (India): Series C;2024-07-22

2. Analytical method for elastic recovery prediction of air bending sheet;Journal of Applied Engineering Science;2023

3. Characterizing springback stress behavior in VPB by experimental-numerical hybrid method;International Journal of Mechanical Sciences;2022-06

4. Experimental comparison of straight flanging and rotary die bending based on springback;The International Journal of Advanced Manufacturing Technology;2022-03-15

5. Springback prediction and compensation method for anisotropy sheet in multi-point forming;Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science;2021-10-01

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