Influence of numerical parameters on springback prediction in sheet metal forming

I.A. Burchitz; Vincent T. Meinders; Han Huetink

Influence of numerical parameters on springback prediction in sheet metal forming

I.A. Burchitz, Vincent T. Meinders, Han Huetink

Faculty of Engineering Technology

Research output: Contribution to conference › Paper

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Abstract

Prediction of springback is still one of the major challenges in the modern die manufacturing industry. In this paper an attempt is made to discover extra reasons for inaccurate prediction of this phenomenon. Using several industrial parts a numerical study is performed to understand sensitivity of springback to various material and process parameters. The study reveals that some modelling assumptions, that are usually made in analysis of forming processes, are inapplicable in simulation of springback. Also, it is shown that springback prediction accuracy can be improved by minimising the discretisation error.

Original language	Undefined
Pages	407-410
Publication status	Published - 2006
Event	9th International ESAFORM Conference on Material Forming 2006 - Glasgow, United Kingdom Duration: 26 Apr 2006 → 28 Apr 2006 Conference number: 9

Conference

Conference	9th International ESAFORM Conference on Material Forming 2006
Abbreviated title	ESAFORM 2006
Country/Territory	United Kingdom
City	Glasgow
Period	26/04/06 → 28/04/06

Keywords

IR-59599

Access to Document

ESAFORM2006_Burchitz

Cite this

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title = "Influence of numerical parameters on springback prediction in sheet metal forming",

abstract = "Prediction of springback is still one of the major challenges in the modern die manufacturing industry. In this paper an attempt is made to discover extra reasons for inaccurate prediction of this phenomenon. Using several industrial parts a numerical study is performed to understand sensitivity of springback to various material and process parameters. The study reveals that some modelling assumptions, that are usually made in analysis of forming processes, are inapplicable in simulation of springback. Also, it is shown that springback prediction accuracy can be improved by minimising the discretisation error.",

keywords = "IR-59599",

author = "I.A. Burchitz and Meinders, {Vincent T.} and Han Huetink",

year = "2006",

language = "Undefined",

pages = "407--410",

note = "9th International ESAFORM Conference on Material Forming 2006 ; Conference date: 26-04-2006 Through 28-04-2006",

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TY - CONF

T1 - Influence of numerical parameters on springback prediction in sheet metal forming

AU - Burchitz, I.A.

AU - Meinders, Vincent T.

AU - Huetink, Han

N1 - Conference code: 9

PY - 2006

Y1 - 2006

N2 - Prediction of springback is still one of the major challenges in the modern die manufacturing industry. In this paper an attempt is made to discover extra reasons for inaccurate prediction of this phenomenon. Using several industrial parts a numerical study is performed to understand sensitivity of springback to various material and process parameters. The study reveals that some modelling assumptions, that are usually made in analysis of forming processes, are inapplicable in simulation of springback. Also, it is shown that springback prediction accuracy can be improved by minimising the discretisation error.

AB - Prediction of springback is still one of the major challenges in the modern die manufacturing industry. In this paper an attempt is made to discover extra reasons for inaccurate prediction of this phenomenon. Using several industrial parts a numerical study is performed to understand sensitivity of springback to various material and process parameters. The study reveals that some modelling assumptions, that are usually made in analysis of forming processes, are inapplicable in simulation of springback. Also, it is shown that springback prediction accuracy can be improved by minimising the discretisation error.

KW - IR-59599

M3 - Paper

SP - 407

EP - 410

T2 - 9th International ESAFORM Conference on Material Forming 2006

Y2 - 26 April 2006 through 28 April 2006

ER -