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Parametric Analysis of Different Grades of Steel Materials Used in Plastic Industries through Die Sinking EDM Process

Parametric Analysis of Different Grades of Steel Materials Used in Plastic Industries through Die Sinking EDM Process

Goutam Kumar Bose, Pritam Pain
Copyright: © 2016 |Volume: 3 |Issue: 1 |Pages: 30
ISSN: 2334-4563|EISSN: 2334-4571|EISBN13: 9781466693944|DOI: 10.4018/IJMFMP.2016010104
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MLA

Bose, Goutam Kumar, and Pritam Pain. "Parametric Analysis of Different Grades of Steel Materials Used in Plastic Industries through Die Sinking EDM Process." IJMFMP vol.3, no.1 2016: pp.45-74. http://doi.org/10.4018/IJMFMP.2016010104

APA

Bose, G. K. & Pain, P. (2016). Parametric Analysis of Different Grades of Steel Materials Used in Plastic Industries through Die Sinking EDM Process. International Journal of Materials Forming and Machining Processes (IJMFMP), 3(1), 45-74. http://doi.org/10.4018/IJMFMP.2016010104

Chicago

Bose, Goutam Kumar, and Pritam Pain. "Parametric Analysis of Different Grades of Steel Materials Used in Plastic Industries through Die Sinking EDM Process," International Journal of Materials Forming and Machining Processes (IJMFMP) 3, no.1: 45-74. http://doi.org/10.4018/IJMFMP.2016010104

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Abstract

In the present research work four different work materials viz. EN24, D2, H13, P20 which are commonly use in plastic industries are considered for machining applying EDM process. Four different control parameters such as pulse on time, pulse off time, gap current, and Spark gap are considered to study the effect on the performance of responses like material removal rate, surface roughness and overcut using a square shape copper tool with lateral flushing. A well design experimental plan is used to reduce the total number of experiment following L9 orthogonal array. Based on Taguchi methodology the significant process parameters affecting the responses are identified applying ANOVA for each material. The effect of the responses with respect to the four control parameters for the four different work materials is compared through linear graphs. A well-known Grey relational analysis is carried out where the weights are calculated using entropy method to full fill the multi criteria decision making process.

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