Optimization Techniques in Material Processing

Abed Alaswad; K.Y. Benyounis; Abdul-Ghani Olabi

doi:10.1016/B978-0-12-803581-8.04004-2

Optimization Techniques in Material Processing

Abed Alaswad, K.Y. Benyounis, Abdul-Ghani Olabi

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

The objective of this chapter is to give an essential presentation on the theory and practice of implementing modeling and optimization techniques to evaluate different manufacturing process for a wide range of materials. This chapter includes comprehensive research works on the Design of Experiments (DoE), and the Artificial Neural Network (ANN) that is widely used to develop a mathematical relationship between the process input parameters and the output.

Original language	English
Title of host publication	Reference Module in Materials Science and Materials Engineering
Publisher	Elsevier B.V.
ISBN (Print)	978-0-12-803581-8
DOIs	https://doi.org/10.1016/B978-0-12-803581-8.04004-2
Publication status	Published - 1 Dec 2015

Keywords

analysis
artificial neural network
design of experiments
genetic algorithm
manufacturing
metal forming
optimization
welding

Access to Document

10.1016/B978-0-12-803581-8.04004-2

Cite this

@inbook{6781afeb61a443e8aec51bb28f8234c8,

title = "Optimization Techniques in Material Processing",

abstract = "The objective of this chapter is to give an essential presentation on the theory and practice of implementing modeling and optimization techniques to evaluate different manufacturing process for a wide range of materials. This chapter includes comprehensive research works on the Design of Experiments (DoE), and the Artificial Neural Network (ANN) that is widely used to develop a mathematical relationship between the process input parameters and the output.",

keywords = "analysis, artificial neural network, design of experiments, genetic algorithm, manufacturing, metal forming, optimization, welding",

author = "Abed Alaswad and K.Y. Benyounis and Abdul-Ghani Olabi",

year = "2015",

month = dec,

day = "1",

doi = "10.1016/B978-0-12-803581-8.04004-2",

language = "English",

isbn = "978-0-12-803581-8",

booktitle = "Reference Module in Materials Science and Materials Engineering",

publisher = "Elsevier B.V.",

address = "Netherlands",

}

TY - CHAP

T1 - Optimization Techniques in Material Processing

AU - Alaswad, Abed

AU - Benyounis, K.Y.

AU - Olabi, Abdul-Ghani

PY - 2015/12/1

Y1 - 2015/12/1

N2 - The objective of this chapter is to give an essential presentation on the theory and practice of implementing modeling and optimization techniques to evaluate different manufacturing process for a wide range of materials. This chapter includes comprehensive research works on the Design of Experiments (DoE), and the Artificial Neural Network (ANN) that is widely used to develop a mathematical relationship between the process input parameters and the output.

AB - The objective of this chapter is to give an essential presentation on the theory and practice of implementing modeling and optimization techniques to evaluate different manufacturing process for a wide range of materials. This chapter includes comprehensive research works on the Design of Experiments (DoE), and the Artificial Neural Network (ANN) that is widely used to develop a mathematical relationship between the process input parameters and the output.

KW - analysis

KW - artificial neural network

KW - design of experiments

KW - genetic algorithm

KW - manufacturing

KW - metal forming

KW - optimization

KW - welding

U2 - 10.1016/B978-0-12-803581-8.04004-2

DO - 10.1016/B978-0-12-803581-8.04004-2

M3 - Chapter

SN - 978-0-12-803581-8

BT - Reference Module in Materials Science and Materials Engineering

PB - Elsevier B.V.

ER -

Optimization Techniques in Material Processing

Abstract

Keywords

Access to Document

Fingerprint

Cite this