Investigating the effect of machining parameters on EDMed components a RSM approach / Manoj Kumar Pradhan and Chandan Kumar Biswas

The effects of the machining parameters in electrical-discharge machining on the machining characteristics of AISI D2 steel workpiece has been investigated in this research. The response functions considered are Material Removal Rate (MRR) and surface roughness (Ra), while machining variables are pu...

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Main Authors: Pradhan, Manoj Kumar, Biswas, Chandan Kumar
Format: Article
Language:English
Published: UiTM Press 2010
Subjects:
Online Access:http://ir.uitm.edu.my/id/eprint/13735/
http://ir.uitm.edu.my/id/eprint/13735/2/AJ_MANOJ%20KUMAR%20PRADHAN%20JME%2010.pdf
id uitm-13735
recordtype eprints
spelling uitm-137352016-07-25T04:24:34Z http://ir.uitm.edu.my/id/eprint/13735/ Investigating the effect of machining parameters on EDMed components a RSM approach / Manoj Kumar Pradhan and Chandan Kumar Biswas Pradhan, Manoj Kumar Biswas, Chandan Kumar Production of electric energy or power. Powerplants. Central stations Production of electricity by direct energy conversion The effects of the machining parameters in electrical-discharge machining on the machining characteristics of AISI D2 steel workpiece has been investigated in this research. The response functions considered are Material Removal Rate (MRR) and surface roughness (Ra), while machining variables are pulse current, pulse on time, pause time and gap voltage. A Response surface methodology was used to reduce the total number of experiments. Empirical models correlating process variables and their interactions with the said response functions have been established. The significant parameters that critically influenced the machining characteristics were examined and developed predictive models. Analyzing these models, it is found that pulse current is the most significant parameter for both the responses, followed by pulse off time, gap voltage and pulse on time for MRR, and pulse on time and gap voltage for Ra. The model sufficiency is very satisfactory as the coefficient of determination (R2) is found to be greater than 98.3% and R2 adj is over 97.6%. These models can be used for selecting the values of process variables to get the desired values of the response parameters. UiTM Press 2010 Article PeerReviewed text en http://ir.uitm.edu.my/id/eprint/13735/2/AJ_MANOJ%20KUMAR%20PRADHAN%20JME%2010.pdf Pradhan, Manoj Kumar and Biswas, Chandan Kumar (2010) Investigating the effect of machining parameters on EDMed components a RSM approach / Manoj Kumar Pradhan and Chandan Kumar Biswas. Journal of Mechanical Engineering, 7 (1). pp. 47-64. ISSN 1823-5514
repository_type Digital Repository
institution_category Local University
institution Universiti Teknologi MARA
building UiTM Institutional Repository
collection Online Access
language English
topic Production of electric energy or power. Powerplants. Central stations
Production of electricity by direct energy conversion
spellingShingle Production of electric energy or power. Powerplants. Central stations
Production of electricity by direct energy conversion
Pradhan, Manoj Kumar
Biswas, Chandan Kumar
Investigating the effect of machining parameters on EDMed components a RSM approach / Manoj Kumar Pradhan and Chandan Kumar Biswas
description The effects of the machining parameters in electrical-discharge machining on the machining characteristics of AISI D2 steel workpiece has been investigated in this research. The response functions considered are Material Removal Rate (MRR) and surface roughness (Ra), while machining variables are pulse current, pulse on time, pause time and gap voltage. A Response surface methodology was used to reduce the total number of experiments. Empirical models correlating process variables and their interactions with the said response functions have been established. The significant parameters that critically influenced the machining characteristics were examined and developed predictive models. Analyzing these models, it is found that pulse current is the most significant parameter for both the responses, followed by pulse off time, gap voltage and pulse on time for MRR, and pulse on time and gap voltage for Ra. The model sufficiency is very satisfactory as the coefficient of determination (R2) is found to be greater than 98.3% and R2 adj is over 97.6%. These models can be used for selecting the values of process variables to get the desired values of the response parameters.
format Article
author Pradhan, Manoj Kumar
Biswas, Chandan Kumar
author_facet Pradhan, Manoj Kumar
Biswas, Chandan Kumar
author_sort Pradhan, Manoj Kumar
title Investigating the effect of machining parameters on EDMed components a RSM approach / Manoj Kumar Pradhan and Chandan Kumar Biswas
title_short Investigating the effect of machining parameters on EDMed components a RSM approach / Manoj Kumar Pradhan and Chandan Kumar Biswas
title_full Investigating the effect of machining parameters on EDMed components a RSM approach / Manoj Kumar Pradhan and Chandan Kumar Biswas
title_fullStr Investigating the effect of machining parameters on EDMed components a RSM approach / Manoj Kumar Pradhan and Chandan Kumar Biswas
title_full_unstemmed Investigating the effect of machining parameters on EDMed components a RSM approach / Manoj Kumar Pradhan and Chandan Kumar Biswas
title_sort investigating the effect of machining parameters on edmed components a rsm approach / manoj kumar pradhan and chandan kumar biswas
publisher UiTM Press
publishDate 2010
url http://ir.uitm.edu.my/id/eprint/13735/
http://ir.uitm.edu.my/id/eprint/13735/2/AJ_MANOJ%20KUMAR%20PRADHAN%20JME%2010.pdf
first_indexed 2023-09-18T22:50:15Z
last_indexed 2023-09-18T22:50:15Z
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