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



DOI: 10.18869/acadpub.jame.35.3.29

XML Persian Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

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
Abstract:   (1094 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.

Full-Text [PDF 1470 kb]   (223 Downloads)    
Type of Study: Research | Subject: General
Received: 2016/12/20 | Accepted: 2016/12/20 | Published: 2016/12/20

Add your comments about this article : Your username or email:
Write the security code in the box

Send email to the article author


© 2015 All Rights Reserved | Journal of Advanced Materials in Engineering (Esteghlal)

Designed & Developed by : Yektaweb