Functionally Graded Materials Optimization Using Particle Swarm-Based Algorithms-Reference-Cited by-同舟云学术

Functionally Graded Materials Optimization Using Particle Swarm-Based Algorithms

Published:2012-04 Issue:4 Volume:35 Page:377-392
ISSN:0149-5739
Container-title:Journal of Thermal Stresses
language:en
Short-container-title:Journal of Thermal Stresses

Author:

Fereidoon Abdolhossein,Sadri Firouz,Hemmatian Hossein

Publisher

Informa UK Limited

Subject

Condensed Matter Physics,General Materials Science

Link

http://www.tandfonline.com/doi/pdf/10.1080/01495739.2012.663688

Reference26 articles.

1. J. J. Skrzypek , A. W. Ganczarski, F. Rustichelli, and H. Egner,Advanced Materials and Structures for Extreme Operating Conditions.1st ed. Springer-Verlag, Berlin Heidelberg, 2008.

2. Volume fraction optimization for minimizing thermal stress in Ni–Al2O3 functionally graded materials

3. Neural network optimization of material composition of a functionally graded material plate at arbitrary temperature range and temperature rise

4. Optimization of material composition of FGM hollow circular cylinder under thermal loading: a neural network approach

5. OPTIMIZATION OF MATERIAL COMPOSITION OF FUNCTIONALLY GRADED PLATE FOR THERMAL STRESS RELAXATION USING A GENETIC ALGORITHM

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