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http://hdl.handle.net/2080/1020
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DC Field | Value | Language |
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dc.contributor.author | Pradhan, M K | - |
dc.contributor.author | Biswas, C K | - |
dc.date.accessioned | 2009-08-28T05:12:32Z | - |
dc.date.available | 2009-08-28T05:12:32Z | - |
dc.date.issued | 2009 | - |
dc.identifier.citation | International Journal of Mathematical, Physical and Engineering Sciences, Volume 3 No 1 2009 | en |
dc.identifier.uri | http://hdl.handle.net/2080/1020 | - |
dc.description.abstract | In this research, Response Surface Methodology (RSM)is used to investigate the effect of four controllable input variables namely: discharge current, pulse duration, pulse off time and applied voltage Surface Roughness (SR) of on Electrical Discharge Machined surface. To study the proposed second-order polynomial model for SR, a Central Composite Design (CCD) is used to estimation the model coefficients of the four input factors, which are alleged to influence the SR in Electrical Discharge Machining (EDM) process. Experiments were conducted on AISI D2 tool steel with copper electrode. The response is modeled using RSM on experimental data. The significant coefficients are obtained by performing Analysis of Variance (ANOVA) at 5% level of significance. It is found that discharge current, pulse duration, and pulse off time and few of their interactions have significant effect on the SR. The model sufficiency is very satisfactory as the Coefficient of Determination (R2) is found to be 91.7% and adjusted R2-statistic (R2 adj ) 89.6%. | en |
dc.format.extent | 189242 bytes | - |
dc.format.mimetype | application/pdf | - |
dc.language.iso | en | - |
dc.publisher | Nova Science Publishers, USA | en |
dc.subject | Electrical discharge machining | en |
dc.subject | Surface Roughness | en |
dc.subject | Response Surface Methodology | en |
dc.subject | ANOVA | en |
dc.subject | Central composite design | en |
dc.title | Modeling and Analysis of process parameters on Surface Roughness in EDM of AISI D2 tool Steel by RSM Approach | en |
dc.type | Article | en |
Appears in Collections: | Journal Articles |
Files in This Item:
File | Description | Size | Format | |
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modeling.pdf | 184.81 kB | Adobe PDF | View/Open |
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