Prediction Micro-Hardness of Cu Nanocomposite by Using Artificial Neural Network with Characterization Effective Parameters in Mechanical Alloying
محل انتشار: کنفرانس ملی نانو ساختارها،علوم و مهندسی نانو
سال انتشار: 1395
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 478
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شناسه ملی سند علمی:
NCNNN01_156
تاریخ نمایه سازی: 4 مهر 1396
چکیده مقاله:
Cu nano-composites have different properties and therefore have various applications. Generally; reinforcement phase, specify most properties of nanocomposite, such as micro-hardness that is one of the essential parameter which determinate application of them. In this paper we predict micro-hardness of Cu nano-composite by Artificial Neural Network method. First determinate effective parameters on micro-hardness of Cu nano-composite which produced by mechanical alloying method and then; efficient factors such as: reinforcement hardness, sintering time and temperature; selected as input and micro-hardness of Cu nano-composite choice as output. Finally; effectiveness parameters on hardness calculated and predicted micro-hardness of Cu nano-composite with %6.2 mean percentage error. so by using this method with high approximation can prediction microhardness of Cu nano-composite without any experiments, as well as; specified level of effective parameters, by sensitivity analysis
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نویسندگان
Reza Mirahmadi Babaheydari
Master student, Material science and engineering, Shahid Bahonar University of kerman, Iran
G.H Akbari
Associate Professor, Material science and engineering, Shahid Bahonar University of kerman Iran,
Seyed Oveis Mirabootalebi
Master student, Material science and engineering, Shahid Bahonar University of kerman, Iran