Modeling and optimization for microstructural properties of Al/SiC nanocomposite by artificial neural network and genetic algorithm
作者：
Highlights：
• The Al/SiC nanocomposite powder has been synthesized by mechanical alloying process.
• The process conditions were milling speed, milling time, and ball to powder weight ratio.
• The characteristics of Al-SiC nanocomposite powder have been modeled by ANN then optimized by GA.
• The characteristics were crystallite size and lattice strain of aluminum matrix.
• The maximum lattice strain and the minimum crystallite size guarantee mechanical properties.
摘要
•The Al/SiC nanocomposite powder has been synthesized by mechanical alloying process.•The process conditions were milling speed, milling time, and ball to powder weight ratio.•The characteristics of Al-SiC nanocomposite powder have been modeled by ANN then optimized by GA.•The characteristics were crystallite size and lattice strain of aluminum matrix.•The maximum lattice strain and the minimum crystallite size guarantee mechanical properties.
论文关键词：Mechanical alloying,Metal matrix nanocomposites,Microstructures,Feed-forward neural network,Genetic algorithm
论文评审过程：Available online 5 April 2014.
论文官网地址：https://doi.org/10.1016/j.eswa.2014.03.038
