Volume 35, Issue 3 (Journal of Advanced Materials-Fall 2016)                   jame 2016, 35(3): 29-43 | Back to browse issues page

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Rezazadeh M, Emadi R, Saatchi A, Ghasemi A, Rezaeinia M. Use of Optimization Algorithm for Simulation of Spark Plasma Sintering Process in Si3N4-SiO2 Composite. jame. 2016; 35 (3) :29-43
URL: http://jame.iut.ac.ir/article-1-854-en.html
1- Department of Materials Engineering, Isfahan University of Technology, Isfahan , m.rezazadeh@ma.iut.ac.ir
Abstract:   (8401 Views)

Simultaneous application of mechanical pressure and electrical charge on powder samples in spark plasma sintering process, has resulted in a sample with a density close to the theory. In the present study, a thermal-electrical-mechanical coupled finite element model of spark plasma sintering system using multi-objective optimization algorithm is proposed to optimize the mold variable. The simulation performed for Si3N4-SiO2 (1:1 mol) specimen has good agreement with the experimental results. Multi-objective genetic algorithms was used for optimization of mold design in order to maximize the temperature of sample core and minimize the mises stress in the mold. The results show that the optimized dimensions cause 8% increase in sample temperature and about 18% decrease in temperature difference between mold surface and sample core. This leads to better uniformity in the porosity distribution of final sample.

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Type of Study: Research | Subject: General
Received: 2016/12/20 | Accepted: 2016/12/20 | Published: 2016/12/20

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