شماره ركورد كنفرانس :
3811
عنوان مقاله :
Optimization of the Micro-Hardness as nano-structureCu-Cr alloysby the mechanical alloying process with using artificial neural networks and genetic algorithm
پديدآورندگان :
Torabi Amine amine.torabi1994@gmail.com Department of Materials Science and Engineering, ShahidBahonar University of Kerman, Kerman, Iran. , Zeraati Malihe Department of Materials Science and Engineering, ShahidBahonar University of Kerman, Kerman, Iran. , Akbari Gholam Hossein ghh.akbari@gmail.com Department of Materials Science and Engineering, ShahidBahonar University of Kerman, Kerman, Iran.
كليدواژه :
Mechanical alloying , Optimization , Nano composite , neural networks , Micro , Hardness
عنوان كنفرانس :
ششمين كنفرانس بين المللي مهندسي مواد و متالوژي و يازدهمين همايش ملي مشترك انجمن مهندسي متالوژي و مواد ايران و انجمن علمي ريخته گري ايران
چكيده فارسي :
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%.
