Volume 34, Issue 2 (Journal of Advanced Materials- Summer 2015)                   2015, 34(2): 19-30 | Back to browse issues page


XML Persian Abstract Print


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

Dashtbayazi M, Esmaeili R. Optimizing Properties of Aluminum-Based Nanocomposites by Genetic Algorithm Method. Journal of Advanced Materials in Engineering (Esteghlal) 2015; 34 (2) :19-30
URL: http://jame.iut.ac.ir/article-1-666-en.html
Shahid Bahonar University of Kerman, Kerman, Iran , dashtbayazi@uk.ac.ir
Abstract:   (12153 Views)
Based on molecular dynamics simulation results, a model was developed for determining elastic properties of aluminum nanocomposites reinforced with silicon carbide particles. Also, two models for prediction of density and price of nanocomposites were suggested. Then, optimal volume fraction of reinforcement was obtained by genetic algorithm method for the least density and price, and the highest elastic properties. Based on optimization results, the optimum volume fraction of reinforcement was obtained equal to 0.44. For this optimum volume fraction, optimum Young’s modulus, shear modulus, the price and the density of the nanocomposite were obtained 165.89 GPa, 111.37 GPa, 8.75 $/lb and 2.92 gr/cm3, respectively.
Full-Text [PDF 1240 kb]   (2195 Downloads)    
Type of Study: Research | Subject: Surface engineering and coatings
Received: 2015/09/2 | Accepted: 2015/09/2 | Published: 2015/09/2

Add your comments about this article : Your username or Email:
CAPTCHA

Send email to the article author


© 2024 CC BY-NC 4.0 | Journal of Advanced Materials in Engineering (Esteghlal)

Designed & Developed by : Yektaweb