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Minimizing thermal residual stresses in ceramic matrix composites by u sing DE and ANN based response surface method

TAO YOU1, QIMAN WU1, YINGJIE XU2,*

Affiliation

  1. Institute of Computer Testing, Control and Simulation , School of Computer Science , Northwestern Polytechnical University, Xi’an, 710072 China
  2. Engineering Simulation and Aerospace Computing Key Laboratory of Contemporary Design & Integrated Manufacturing Technology, Northwestern Polytechnic al University, Xi’an, 710072 China

Abstract

The thermal residual stresses (TRS) induced in ceramic matrix composites (CMCs) with multi layered interphases when cooling down from the processing temperature, have a significant influence on the mechanical behavior and lifetime of CMCs. The objective of this work is to minimize the TRS of the unidirectional CMCs with multi layered interphases by controlling the interphases thicknesses. A hybrid strategy incorporating finite element computation, artificial neural network (ANN) based response surface method (RSM) and differential evo lution (DE) algorithm is proposed to predict the TRS of CMCs. The finite element method is adopted to calculate the TRS distribution within CMCs and the ANN based RSM (is employed to approximate the non linear relationship between the design parameters and the TRS of the designed CMCs. The well trained ANN RSM is finally used to find the minimum TRS. The results show the proposed methodology could estimate the TRS of different design solutions and identify the best one..

Keywords

Ceramic matrix composites, Thermal residual stresses, Differential evolution algorithm Response surface method method, Artificial neural network Finite element method.

Citation

TAO YOU, QIMAN WU, YINGJIE XU, Minimizing thermal residual stresses in ceramic matrix composites by u sing DE and ANN based response surface method, Optoelectronics and Advanced Materials - Rapid Communications, 9, 5-6, May-June 2015, pp.709-719 (2015).

Submitted at: April 10, 2015

Accepted at: May 7, 2015