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A novel approach in comparison and experimentation of Hybrid Metal Matrix Composites using advanced MCDM methods

机译:一种新的方法,具有高级MCDM方法的杂交金属基复合材料的比较与实验

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Factual material selection is essential in the manufacturing arena with a superior product and minimum cost.This paper highlights on the advanced multi-criteria approaches namely additive ratio assessment(ARAS)and multi-attributive border approximation area comparison(MABAC)methods for the best material selection of a hybrid composite using aluminum(Al)as base material varying different reinforcement weights and recycling with various industrial wastes by stir casting.Al/WCE gives superior tribomechanical properties at lower cost than the other reinforcements.ARAS and MABAC methods are applied,based on the properties and attributes of the hybrid composites,to compare between the computational and experimental results.The results exactly corroborate with the previous research results which authenticate the expediency of these methods during the solving of complex hybrid material selection problems.Out of 48 different samples,the best hybrid composite material obtained by ranking is material number A30 by ARAS approach(rank 1)which is AI+AI2O3 at 12.5% wt.addition and material number A24(rank 2)which is heat treated 12.5%wt.WCE.But the same A30 is obtained to be rank 5 and A24 is obtained to be rank 1 by MABAC method.A24 is obtained to be the best hybrid composite after the experimentation.
机译:事实材料选择对于制造领域至关重要,具有卓越的产品和最低成本。本文在高级多标准上亮点是最佳材料的附加比评估(ARAS)和多归原边界近似区域比较(MABAC)方法使用铝(Al)选择混合复合材料作为基材改变不同的增强重量,并通过搅拌铸造与各种工业废物的回收。为WCE提供优异的统计机械性能,以比其他增强剂更低的成本。aras和Mabac方法是基于的在混合复合材料的性质和属性上,以比较计算和实验结果。结果与先前的研究结果完全证实,该研究结果验证了在求解复杂的混合材料选择问题期间验证这些方法的权宜之计。48种不同的样品,通过排名获得的最佳混合复合材料是配合RIAN Number A30通过ARAS方法(秩1),其为12.5%wt.dition和材料编号A24(等级2),其热处理12.5%wt.wce.but,得到相同的A30秩5和获得A24以通过Mabac方法等级1。获得在实验后成为最佳的杂合复合材料。

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