Optimizing Multi Response Green Machining Using Taguchi Method Based on Grey Relational Analysis

M. Imron Mustajib; Teguh Prasetyo; Heri Awalul Ilhamsah; Rudy Soenoko; Sugiono Sugiono

doi:10.4028/www.scientific.net/AMM.747.277

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 747Optimizing Multi Response Green Machining Using...

Optimizing Multi Response Green Machining Using Taguchi Method Based on Grey Relational Analysis

Abstract:

This paper presents an optimization of multi response green machining of aluminum 6061 valve. The research is started with study literature and early survey to identify various factors that may likely influence in the green machining. The next step is investigating and collecting experiment data of the control factors (working in 3 levels) for depth of cut, feeding, and cutting speed factor on two responses; power consumption and surface roughness (R_a). The data were evaluated using Taguchi method based on grey relational anaylisis. Statistic tools coupled together with Taguchi design to process the output of the experiment. Finally, the research has successfully to deliver knowledges of the cutting speed and feeding factors have a dominant influence in power consumption and surface roughness of the green machining process

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Periodical:

Applied Mechanics and Materials (Volume 747)

Pages:

277-281

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.747.277

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Online since:

March 2015

Authors:

M. Imron Mustajib*, Teguh Prasetyo, Heri Awalul Ilhamsah, Rudy Soenoko, Sugiono Sugiono

Keywords:

Aluminium 6061, Energy, Power, Surface Roughness, Turning

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