سیویلیکا را در شبکه های اجتماعی دنبال نمایید.

Login
PapersConferencesJournals

Optimization of the Micro-Hardness as nano-structureCu-Cr alloysby the mechanical alloying process with using artificial neural networks and genetic algorithm

Publish place: The 6th International Conference on Exhibitiion on Metallurgy and Materials Engineering
Publish Year: 1396
Type: Conference paper
Language: English
View: 438

This Paper With 10 Page And PDF Format Ready To Download

DOWNLOAD Paper

این Paper در بخشهای موضوعی زیر دسته بندی شده است:

Export:

Link to this Paper:
https://civilica.com/doc/699740

Document National Code:

IMES11_229

Index date: 26 February 2018

Optimization of the Micro-Hardness as nano-structureCu-Cr alloysby the mechanical alloying process with using artificial neural networks and genetic algorithm abstract

A nano structural solid solution of Cu–Cr was prepared by mechanical alloying process. Artificial neural networks (ANNs) program was developed in MATLAB software to establish the relationship between the mechanical alloying input parameters, i.e. weight percentage of Cu and Cr, milling times, ball milling speed and sintering temperature and the Micro-Hardness of products as output. The established model of ANN was employed to optimize the process parameters in genetic algorithm (GA) and confirmation experiments were conducted to validate the optimized parameters that obtained from GA. the optimal condition of nanostructures alloy preparation with the highest micro hardness had been proposed with the mean prediction percentage error was lower than 4.41%.

Optimization of the Micro-Hardness as nano-structureCu-Cr alloysby the mechanical alloying process with using artificial neural networks and genetic algorithm Keywords:

Mechanical alloying , Optimization , Nano composite , neural networks , Micro- Hardnes

Optimization of the Micro-Hardness as nano-structureCu-Cr alloysby the mechanical alloying process with using artificial neural networks and genetic algorithm authors

Amine Torabi

Master Student of Nanotechnology-Nanomaterials, Department of Materials Science and Engineering, ShahidBahonar University of Kerman, Kerman, Iran.

Malihe Zeraati

Master Student of Nanotechnology-Nanomaterials Department of Materials Science and Engineering, ShahidBahonar University of Kerman, Kerman, Iran.

Gholam Hossein Akbari

Associate professor,Material science and engineering, Department of Materials Science and Engineering, ShahidBahonar University of Kerman, Kerman, Iran.