Machining Parameter Optimization of Poly Tetra Fluoro Ethylene (PTFE) Using Genetic Algorithm
Journal Title: International Journal of Modern Engineering Research (IJMER) - Year 2012, Vol 2, Issue 1
Abstract
Poly Tetra Fluoro Ethylene (PTFE) has emerged as an important class of material in aerospace air-conditioning systems, which are increasingly being utilized in recent years. Application of these materials in many areas is due to light weight, corrosion resistant, etc., Surface Roughness (Ra) is an important value for determining the surface quality. Maximum Surface Roughness (Ra) of the tube reduces the air flow pressure, velocity and volumetric air flow rate in air-conditioning systems. Due to high Surface Roughness (Ra) of the air flow tube, the compressor efficiency is reduced and also increases power consumption. The principal machining parameters that control roughness characteristics are cutting speed, feed rate, depth of cut, and type of cutting tools and temperature etc., Genetic algorithm is used for the optimal search of cutting conditions, the chromosomes represent cutting conditions defined according to a sequential scale and is composed by random keys. The present review is focused on the influence of cutting parameters on the surface finish. This result will provide an insight into selecting the optimum machining parameters for machining of PTFE to achieve minimum Surface Roughness (Ra).
Authors and Affiliations
M. Sanjeev kumar , V. Kaviarasan, R. Venkatesan
Keywords
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