Study on thermal-fatigue property prediction of hot-working steel based on PLS

Author

Li Xincheng ; Xu Zhiwei ; Zhu Weixing ; Feng Xiaotian ; Chen Wei

Author_Institution

Sch. of Mech. Eng., Jiangsu Univ., Zhenjiang, China

fYear

2010

fDate

26-28 June 2010

Firstpage

101

Lastpage

104

Abstract

An innovative approach based on partial least square is employed to predict thermal-fatigue property of hot-working steel. By extracting principal components, correlation information between properties of material and thermal-fatigue property under the operating temperature is screened and synthesized. Based on the research results, thermal-fatigue property prediction model of hot-working steel is established. The results show that the model can effectively predict thermal-fatigue property of steels. Additionally, the thermal-fatigue property can be improved by enhancing the material yield strength at high temperature, impacting toughness, thermal stability, oxidation resistance and elongation rate.

Keywords

hot working; least squares approximations; principal component analysis; steel; steel industry; thermal stability; thermal stress cracking; yield strength; PLS; correlation information extraction; elongation rate; hot-working steel; oxidation resistance; partial least square; principal component extraction; thermal stability; thermal-fatigue property; toughness; yield strength; Fatigue; Least squares methods; Material properties; Mechanical factors; Oxidation; Predictive models; Steel; Temperature; Thermal engineering; Thermal resistance; hot-working steel; partial least squares; prediction; thermal fatigue;

fLanguage

English

Publisher

ieee

Conference_Titel

Mechanic Automation and Control Engineering (MACE), 2010 International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-7737-1

Type

conf

DOI

10.1109/MACE.2010.5535381

Filename

5535381