Optimization Techniques in Material Processing

Abed Alaswad; K.Y. Benyounis; A.G. Olabi

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

Optimization Techniques in Material Processing

Abed Alaswad, K.Y. Benyounis, A.G. Olabi

Mechanical, Biomedical & Design Engineering

Research output: Chapter in Book/Published conference output › Chapter (peer-reviewed) › 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
ISBN (Print)	978-0-12-803581-8
DOIs	https://doi.org/10.1016/B978-0-12-803581-8.04004-2
Publication status	Published - 30 Nov 2015

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

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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.",

author = "Abed Alaswad and K.Y. Benyounis and A.G. Olabi",

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AU - Benyounis, K.Y.

AU - Olabi, A.G.

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Y1 - 2015/11/30

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.

UR - https://www.sciencedirect.com/science/article/pii/B9780128035818040042

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

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

M3 - Chapter (peer-reviewed)

SN - 978-0-12-803581-8

BT - Reference Module in Materials Science and Materials Engineering

PB - Elsevier

ER -

Optimization Techniques in Material Processing

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