D. Das, Vivek Chakraborty, B. B. Nayak, M. P. Satpathy, Chandrika Samal
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引用次数: 5
Abstract
Machining performance of 5 wt.% silicon carbide particulate reinforced Al 7075 matrix composite was investigated in terms of cutting tool temperature (T), average surface roughness (Ra) and tool flank wear (VBc) during turning in pollution-free air water spray cooling environment. Metal was removed by multiple layers of TiN coated carbide inserts during turning. Nonlinear regression models were developed and their adequacies were verified. Significance of process parameters on the responses was investigated through analysis of variance. The responses were optimized individually using Taguchi technique and then simultaneously through particle swarm optimisation technique. The proposed multi-objective algorithm outperformed the traditional Taguchi approach and effectively resulted to a group of non-dominated solutions. Pareto optimal fronts were compiled and plotted for T, Ra and VBc, which can be selected according to the production requirements.
期刊介绍:
IJMMM is a refereed international publication in the field of machining and machinability of materials. Machining science and technology is an important subject with application in several industries. Parts manufactured by other processes often require further operations before the product is ready for application. Machining is the broad term used to describe removal of material from a workpiece, and covers chip formation operations - turning, milling, drilling and grinding, for example. Machining processes can be applied to work metallic and non metallic materials such as polymers, wood, ceramics, composites and special materials. Today, in modern manufacturing engineering, there has been strong renewed interest in high efficiency machining.