Strategic developments to improve the optimization performance with efficient optimum solution and produce high wear resistance aluminum–copper alloy matrix composites

被引：1
作者：
Mohammad Reza Rahimipour
Ali Asghar Tofigh
Ali Mazahery
Mohsen Ostad Shabani
机构：
[1] Materials and Energy Research Center (MERC),
来源：
Neural Computing and Applications | 2014年 / 24卷
关键词：
Abrasive; Optimization; Aluminum;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
The aim of the present study was to find better developments to improve the performance of population optimization, especially from the angle of keeping the population diversity, to enhance the global search in the early part of the optimization and to encourage the particles to converge toward the global optima at the end of the search. The results were used to optimize the fabrication process conditions of the high wear resistance boron carbide-reinforced Al matrix composites. An experimental investigation was then carried out on the abrasive wear behavior of Al alloy matrix composites in terms of abrasive particle size, weight fraction and applied load in pin-on-disk type of wear machine.
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页码：1531 / 1538
页数：7
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