Modeling and optimization of metal forming processes

T. Manninen; Jari Larkiola; L. Cser; A. Revuelta; Antti Korhonen

doi:10.1016/B978-008044024-8/50010-2

Modeling and optimization of metal forming processes

T. Manninen, Jari Larkiola, L. Cser, A. Revuelta, Antti Korhonen

VTT Technical Research Centre of Finland

Research output: Chapter in Book/Report/Conference proceeding › Chapter or book article › Professional

Abstract

This chapter discusses the application of advanced modelling tools in the plastic forming and processing of metals. The tools include numerical modelling techniques, such as the finite element method (FEM), and more recently, artificial intelligence techniques, such as various types of artificial neural networks as well as data mining. Examples of real production processes, such as the production of sheet by rolling, deep drawing of stainless steel kitchen sinks, continuous extrusion of electrical conductors as well cutting of metal and tube hydroforming, will be presented. It is shown that defects can be avoided and tool life increased through optimization of plastic forming processes.

Original language	English
Title of host publication	Metal Forming Science and Practice
Subtitle of host publication	A State-of-the Art Volume in Honour of Professor J.A.Schey's 80th Birthday
Editors	J.G. Lenard
Publisher	Elsevier
Chapter	10
Pages	193-212
ISBN (Electronic)	978-0-08-053631-6
ISBN (Print)	978-0-08-044024-8
DOIs	https://doi.org/10.1016/B978-008044024-8/50010-2
Publication status	Published - 8 Oct 2002
MoE publication type	D2 Article in professional manuals or guides or professional information systems or text book material

Access to Document

10.1016/B978-008044024-8/50010-2

Cite this

@inbook{975366357f3a40d1b4832122daf4c592,

title = "Modeling and optimization of metal forming processes",

abstract = "This chapter discusses the application of advanced modelling tools in the plastic forming and processing of metals. The tools include numerical modelling techniques, such as the finite element method (FEM), and more recently, artificial intelligence techniques, such as various types of artificial neural networks as well as data mining. Examples of real production processes, such as the production of sheet by rolling, deep drawing of stainless steel kitchen sinks, continuous extrusion of electrical conductors as well cutting of metal and tube hydroforming, will be presented. It is shown that defects can be avoided and tool life increased through optimization of plastic forming processes.",

author = "T. Manninen and Jari Larkiola and L. Cser and A. Revuelta and Antti Korhonen",

note = "TUO",

year = "2002",

month = oct,

day = "8",

doi = "10.1016/B978-008044024-8/50010-2",

language = "English",

isbn = "978-0-08-044024-8",

pages = "193--212",

editor = "J.G. Lenard",

booktitle = "Metal Forming Science and Practice",

publisher = "Elsevier",

address = "Netherlands",

}

TY - CHAP

T1 - Modeling and optimization of metal forming processes

AU - Manninen, T.

AU - Larkiola, Jari

AU - Cser, L.

AU - Revuelta, A.

AU - Korhonen, Antti

N1 - TUO

PY - 2002/10/8

Y1 - 2002/10/8

N2 - This chapter discusses the application of advanced modelling tools in the plastic forming and processing of metals. The tools include numerical modelling techniques, such as the finite element method (FEM), and more recently, artificial intelligence techniques, such as various types of artificial neural networks as well as data mining. Examples of real production processes, such as the production of sheet by rolling, deep drawing of stainless steel kitchen sinks, continuous extrusion of electrical conductors as well cutting of metal and tube hydroforming, will be presented. It is shown that defects can be avoided and tool life increased through optimization of plastic forming processes.

AB - This chapter discusses the application of advanced modelling tools in the plastic forming and processing of metals. The tools include numerical modelling techniques, such as the finite element method (FEM), and more recently, artificial intelligence techniques, such as various types of artificial neural networks as well as data mining. Examples of real production processes, such as the production of sheet by rolling, deep drawing of stainless steel kitchen sinks, continuous extrusion of electrical conductors as well cutting of metal and tube hydroforming, will be presented. It is shown that defects can be avoided and tool life increased through optimization of plastic forming processes.

U2 - 10.1016/B978-008044024-8/50010-2

DO - 10.1016/B978-008044024-8/50010-2

M3 - Chapter or book article

SN - 978-0-08-044024-8

SP - 193

EP - 212

BT - Metal Forming Science and Practice

A2 - Lenard, J.G.

PB - Elsevier

ER -

Modeling and optimization of metal forming processes

Abstract

Access to Document

Fingerprint

Cite this