Chemical Composition Design of Superalloys for Maximum Stress, Temperature, and Time-to-Rupture Using Self-Adapting Response Surface Optimization-Reference-Cited by-同舟云学术

Chemical Composition Design of Superalloys for Maximum Stress, Temperature, and Time-to-Rupture Using Self-Adapting Response Surface Optimization

Published:2005-05 Issue:3 Volume:20 Page:569-590
ISSN:1042-6914
Container-title:Materials and Manufacturing Processes
language:en
Short-container-title:Materials and Manufacturing Processes

Author:

Egorov-Yegorov Igor N.,Dulikravich George S.

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering,Mechanical Engineering,Mechanics of Materials,General Materials Science

Link

http://www.tandfonline.com/doi/pdf/10.1081/AMP-200053592

Reference28 articles.

1. Jones , J. ; MacKay , D.J.C. ; Bhadeshia , H.K.D.H.The Strength of Nickel-Base Superalloys: A Bayesian Neural Network Analysis, Proc. 4th International Symposium on Advanced Materials ; ul Haq A. , et al., Eds. A. Q. Kahn Research Laboratories : Pakistan ; 1995 ; 659 – 666 .

2. Bayesian Neural Network Analysis of Fatigue Crack Growth Rate in Nickel Base Superalloys.

3. Jones , J. ; MacKay , D.J.C.Neural Network Modeling of the Mechanical Properties of Nickel Base Superalloys, 8th Int. Symposium on Superalloys ; Kissinger , R.D. , et al., Eds; TMS, PA : Seven Springs , 1996 ; 417 – 424 .

4. Schooling , J.M. ; Reed , P.A.S.The Application of Neural Computing Methods to the Modelling of Fatigue in Nickel-base Superalloys, 8th Int. Symposium on Superalloys ; et al. , Eds. PA : Seven Springs, TMS , 409 – 416 .

5. MacKay , D.J.C.Bayesian Non-linear Modeling with Neural Networks. Mathematical Modeling of Weld Phenomena-III. Cerjak , H. , Bhadeshia , H.K.D.H. , Eds. Institute of Materials : London , 1997 ; 359 – 389 .

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