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2013•Unpublished venueRequires access

PROCESS PARAMETERS OPTIMIZATION FOR SURFACE ROUGHNESS IN EDM FOR AISI D2 STEEL BY RESPONSE SURFACE METHODOLOGY

P. B. Wagh, R.R. Deshmukh, Sudhakar D. Deshmukh

Open publisher page 6 citations

Abstract

In this investigation, response surface methodology (RSM) is used to investigate the effect of four controllable input variables namely: discharge current, pulse duration, pulse off time and gape voltage on material removal rate (MRR). A face centred central composite design matrix is used to conduct the experiments on AISI D2 with copper electrode. The response is modelled using RSM on experimental data. The significant coefficients are obtained by performing analysis of variance (ANOVA) at 95% confidence level. It is found that discharge current and pulse duration are significant factors. RSM is a precision methodology that needs only 31 experiments to assess the conditions.

About this research paper

What this paper is about

In this investigation, response surface methodology (RSM) is used to investigate the effect of four controllable input variables namely: discharge current, pulse duration, pulse off time and gape voltage on material removal rate (MRR). A face centred central composite design matrix is used to conduct the experiments on AISI D2 with copper electrode. The response is modelled using RSM on experimental data. The significant coefficients are obtained by performing analysis of variance (ANOVA) at 95% confidence level. It is found that discharge current and pulse duration are significant factors. RSM is a precision methodology that needs only 31 experiments to assess the conditions.

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OpenAlex reports 6 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

In this investigation, response surface methodology (RSM) is used to investigate the effect of four controllable input variables namely: discharge current, pulse duration, pulse off time and gape voltage on material removal rate (MRR). A face centred central composite design matrix is used to conduct the experiments on AISI D2 with copper electrode. The response is modelled using RSM on experimental data. The significant coefficients are obtained by performing analysis of variance (ANOVA) at 95% confidence level. It is found that discharge current and pulse duration are significant factors. RSM is a precision methodology that needs only 31 experiments to assess the conditions.

Key concepts: Response surface methodology, Central composite design, Surface roughness, Pulse duration, Design of experiments, Materials science, Voltage, Current (fluid)

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