Optimization of process parameters of ECM by RSM on AISI 202 steel
The machining of complex shaped designs was difficult earlier, but with the advent of the newer machining processes incorporating in it electrical, chemical & mechanical processes, manufacturing has redefined itself. Especially, the Electrochemical Machining (ECM) process is used to machine the...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Applied Science Innovations Private Limited
2015-12-01
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| Series: | Carbon: Science and Technology |
| Subjects: | |
| Online Access: | http://www.applied-science-innovations.com/cst-web-site/CST-7-4-2015/CST-157-7-4-2015-28-33.pdf |
| _version_ | 1811312596214611968 |
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| author | P. Alex John Britto N. Lenin |
| author_facet | P. Alex John Britto N. Lenin |
| author_sort | P. Alex John Britto |
| collection | DOAJ |
| description | The machining of complex shaped designs was difficult earlier, but with the advent of the newer machining processes incorporating in it electrical, chemical & mechanical processes,
manufacturing has redefined itself. Especially, the Electrochemical Machining (ECM) process is used to machine the hard to cut materials without producing heat and friction. Hence, in this work, the ECM process has been chosen to machine SS AISI 202 steel. This study establishes the effect of process
parameters such as voltage, current and concentration of electrolyte on the responses on material removal rate (MRR). In this work, second-order quadratic models were developed for MRR, considering the electrolyte concentration, voltage and current as the machining parameters, using central composite
design. The developed models were used for Response Surface Methodology (RSM) optimization by desirability function approach to determine the optimum machining parameters. |
| first_indexed | 2024-04-13T10:39:59Z |
| format | Article |
| id | doaj.art-2840c8823df6401f9ee110c3ac24a9e4 |
| institution | Directory Open Access Journal |
| issn | 0974-0546 0974-0546 |
| language | English |
| last_indexed | 2024-04-13T10:39:59Z |
| publishDate | 2015-12-01 |
| publisher | Applied Science Innovations Private Limited |
| record_format | Article |
| series | Carbon: Science and Technology |
| spelling | doaj.art-2840c8823df6401f9ee110c3ac24a9e42022-12-22T02:49:57ZengApplied Science Innovations Private LimitedCarbon: Science and Technology0974-05460974-05462015-12-01742833Optimization of process parameters of ECM by RSM on AISI 202 steelP. Alex John Britto0N. Lenin1Department of Mechanical Engineering, National Engineering College, Kovilpatti-628503, Tamil Nadu, IndiaDepartment of Mechanical Engineering, National Engineering College, Kovilpatti-628503, Tamil Nadu, IndiaThe machining of complex shaped designs was difficult earlier, but with the advent of the newer machining processes incorporating in it electrical, chemical & mechanical processes, manufacturing has redefined itself. Especially, the Electrochemical Machining (ECM) process is used to machine the hard to cut materials without producing heat and friction. Hence, in this work, the ECM process has been chosen to machine SS AISI 202 steel. This study establishes the effect of process parameters such as voltage, current and concentration of electrolyte on the responses on material removal rate (MRR). In this work, second-order quadratic models were developed for MRR, considering the electrolyte concentration, voltage and current as the machining parameters, using central composite design. The developed models were used for Response Surface Methodology (RSM) optimization by desirability function approach to determine the optimum machining parameters.http://www.applied-science-innovations.com/cst-web-site/CST-7-4-2015/CST-157-7-4-2015-28-33.pdfECMMRRAISI 202 SteelRSMDesirability FunctionInteraction Graph |
| spellingShingle | P. Alex John Britto N. Lenin Optimization of process parameters of ECM by RSM on AISI 202 steel Carbon: Science and Technology ECM MRR AISI 202 Steel RSM Desirability Function Interaction Graph |
| title | Optimization of process parameters of ECM by RSM on AISI 202 steel |
| title_full | Optimization of process parameters of ECM by RSM on AISI 202 steel |
| title_fullStr | Optimization of process parameters of ECM by RSM on AISI 202 steel |
| title_full_unstemmed | Optimization of process parameters of ECM by RSM on AISI 202 steel |
| title_short | Optimization of process parameters of ECM by RSM on AISI 202 steel |
| title_sort | optimization of process parameters of ecm by rsm on aisi 202 steel |
| topic | ECM MRR AISI 202 Steel RSM Desirability Function Interaction Graph |
| url | http://www.applied-science-innovations.com/cst-web-site/CST-7-4-2015/CST-157-7-4-2015-28-33.pdf |
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