Fatigue Focused Optimization of Treatment Parameters – A Case Study about Deep Cryogenic Treatment-Reference-Cited by-同舟云学术

Fatigue Focused Optimization of Treatment Parameters – A Case Study about Deep Cryogenic Treatment

Published:2011-09 Issue: Volume:488-489 Page:498-501
ISSN:1662-9795
Container-title:Key Engineering Materials
language:
Short-container-title:KEM

Author:

Baldissera Paolo¹,Delprete Cristiana¹

Affiliation:

1. Politecnico di Torino

Abstract

The problem of treatment parameter optimization focused on the fatigue resistance is analysed through a case study about Deep Cryogenic Treatment (DCT) of AISI 302 steel. In particular, the possibility to integrate fatigue data fittings through the Maximum Likelihood Estimation (MLE) method in the optimization process is evaluated. Two levels of two parameters (soaking time and temperature) are considered and then expanded to three by proper scaling of their values in order to include the untreated case as a “zero” level. Fatigue focused optimization is then achieved by standard Response Surface Method (RSM) and by MLE with two models for comparison purposes.

Publisher

Trans Tech Publications, Ltd.

Subject

Mechanical Engineering,Mechanics of Materials,General Materials Science

Link

https://www.scientific.net/KEM.488-489.498.pdf

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