Multi Response Optimization Using Taguchi-Grey-Fuzzy Method in Drilling of Kevlar Fiber Reinforced Polymer (KFRP) Stacked

Am Mufarrih; Bobby Oedy Pramoedyo Soepangkat; Iwan Krisnanto

doi:10.4028/www.scientific.net/AMM.836.179

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 836Multi Response Optimization Using...

Multi Response Optimization Using Taguchi-Grey-Fuzzy Method in Drilling of Kevlar Fiber Reinforced Polymer (KFRP) Stacked

Abstract:

A research was conducted for the optimization in the drilling process of KFRP stacked, with multiple performance characteristics based on the orthogonal array with Taguchi-grey-fuzzy method. The experimental study was conducted under varying the drilling process parameters (feeding speed (mm/min) and cutting speed (m/min)) and tool geometries (point geometry and point angle (degree)). The optimized multiple performances characteristics were thrust force, torque and surface roughness. The quality characteristics of thrust force, torque and surface roughness were smaller-is-better. The experimental design used L₁₈ orthogonal array with two replications. Experimental results have shown that machining performance in the drilling process can be improved effectively through this method.

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Periodical:

Applied Mechanics and Materials (Volume 836)

Pages:

179-184

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.836.179

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Online since:

June 2016

Authors:

Am Mufarrih*, Bobby Oedy Pramoedyo Soepangkat, Iwan Krisnanto

Keywords:

Drilling, Fuzzy Logic, Grey Relational Analysis, KFRP Stacked, Taguchi

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* - Corresponding Author

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