Dimensionally accurate parts made of high-strength steels - compressive stress superposition instead of tool compensation

背景(考古学) 叠加原理 极限抗拉强度 组分(热力学) 补偿(心理学) 压力(语言学) 过程(计算) 成形工艺 抗压强度 材料科学 结构工程 机械工程 理论(学习稳定性) 计算机科学 工程类 复合材料 数学 地质学 操作系统 精神分析 机器学习 物理 数学分析 哲学 热力学 古生物学 语言学 心理学
作者
M Linnepe,Peter Sieczkarek,Martin Kibben,F Botz
出处
期刊:IOP conference series [IOP Publishing]
卷期号:1157 (1): 012039-012039 被引量:1
标识
DOI:10.1088/1757-899x/1157/1/012039
摘要

Abstract As a result of the increasing use of high-strength and ultra-high-strength steels as part of the automobile lightweight construction strategies, the issue of dimensional accuracy of component structures is increasingly becoming the focus of toolmakers, pressed part suppliers and automobile manufacturers. In particular, the modern dual-phase steels with strengths of over 800 MPa possess-depending on the respective component geometry and the forming process employed-a pronounced springback behaviour. The compensation measures commonly used so far are more and more reaching their limits, which in turn impairs the process ability of these grades in the cold forming process. The smartform® process developed by thyssenkrupp Steel Europe AG allows the cold forming of high-strength steels with high repeatable accuracy, which significantly expands their areas of application. In this process, the tensile stresses from the forming operation causing the springback of the part are eliminated by compressive stress-superposition, which leads to high dimensional stability. There is almost no need to adapt the tool surfaces to achieve a dimensionally accurate part. How close the formed component comes to the dimensional tolerances specified by the end user is usually determined within the framework of numerical method development. In this context, the result of a springback simulation depends on various parameters. The description of the material behaviour is of major importance. Moreover, the use of extended material models can have an influence on the predictive accuracy and reduce the deviations between simulation and real material behaviour. It remains to be identified to what extent the increase in accuracy is proportional to the modelling effort.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
小二郎应助yu采纳,获得10
刚刚
科研通AI6.2应助xjq137666采纳,获得10
1秒前
2025zmx完成签到,获得积分10
1秒前
oh完成签到,获得积分10
2秒前
科研通AI6.3应助张贵虎采纳,获得10
3秒前
论文中中中完成签到,获得积分10
4秒前
5秒前
今后应助wj采纳,获得10
6秒前
7秒前
干净天磊完成签到,获得积分10
8秒前
alkaidt发布了新的文献求助20
8秒前
8秒前
手套发布了新的文献求助10
8秒前
9秒前
Sicily发布了新的文献求助10
9秒前
fxf完成签到,获得积分10
9秒前
上官若男应助kk采纳,获得10
10秒前
香蕉觅云应助dengdeng采纳,获得10
11秒前
charline发布了新的文献求助10
12秒前
干净天磊发布了新的文献求助10
13秒前
典雅沛柔发布了新的文献求助50
14秒前
赘婿应助chang采纳,获得10
15秒前
15秒前
AllRightReserved应助科研人采纳,获得10
15秒前
17秒前
17秒前
Miriammmmm完成签到,获得积分10
17秒前
zhy应助孤独的ming采纳,获得20
19秒前
20秒前
20秒前
Zzx发布了新的文献求助10
20秒前
充电宝应助卫三采纳,获得10
21秒前
弯一弯发布了新的文献求助10
22秒前
23秒前
愿惜梨完成签到,获得积分10
23秒前
dengdeng发布了新的文献求助10
25秒前
小熊西发布了新的文献求助10
26秒前
Raymond完成签到,获得积分10
26秒前
梁晓玲完成签到,获得积分10
26秒前
迅速代真发布了新的文献求助10
27秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
晶种分解过程与铝酸钠溶液混合强度关系的探讨 8888
Les Mantodea de Guyane Insecta, Polyneoptera 2000
Leading Academic-Practice Partnerships in Nursing and Healthcare: A Paradigm for Change 800
Signals, Systems, and Signal Processing 610
The Sage Handbook of Digital Labour 600
The formation of Australian attitudes towards China, 1918-1941 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6417995
求助须知:如何正确求助?哪些是违规求助? 8237465
关于积分的说明 17499617
捐赠科研通 5470759
什么是DOI,文献DOI怎么找? 2890315
邀请新用户注册赠送积分活动 1867172
关于科研通互助平台的介绍 1704229