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.
|Title of host publication||Reference Module in Materials Science and Materials Engineering|
|Publication status||Published - 30 Nov 2015|
Alaswad, A., Benyounis, K. Y., & Olabi, A. G. (2015). Optimization Techniques in Material Processing. In Reference Module in Materials Science and Materials Engineering Elsevier. https://doi.org/10.1016/B978-0-12-803581-8.04004-2