Application of Analysis and Simulation of Materials Based on PCA-NN

Author

Gang, Liu ; Minhong, Peng

Author_Institution

Sch. of Electron. Inf., Wuhan Univ., Wuhan

fYear

2008

fDate

1-3 Nov. 2008

Firstpage

371

Lastpage

375

Abstract

How to control the mechanical properties of materials is difficult in actual production. In this paper, neural network (NN) and principal component analysis (PCA) have been adopted to simulate and control mechanical properties of CA6NM (called ZG06Cr13Ni4Mo corresponds to Chinese steel code). An optimized NN has been built to analyze and design a kind of material according to its components. This paper proposes to integrate NN and PCA (called PCA-NN) to properly simulate and control materials´ quality. Finally, it is concluded that PCA-NN is satisfied in material design.

Keywords

materials handling; materials properties; mechanical properties; neurocontrollers; principal component analysis; Chinese steel code; material analysis; material design; material quality; material simulation; mechanical properties; neural network; principal component analysis; Analytical models; Casting; Conducting materials; Intelligent networks; Materials science and technology; Mechanical factors; Neural networks; Principal component analysis; Production; Steel; CA6NM; PCA-NN; materials design;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Networks and Intelligent Systems, 2008. ICINIS '08. First International Conference on

Conference_Location

Wuhan

Print_ISBN

978-0-7695-3391-9

Electronic_ISBN

978-0-7695-3391-9

Type

conf

DOI

10.1109/ICINIS.2008.167

Filename

4683242