Optimization Performance Parameters of OHNS Die Steel using Dimensional Analysis Intergrated with Desirability Function
In the Wire EDM of oil hardening die steel materials is a complicated machining process. Hence to find out the best set of process parameters is an important step in wire EDM process. Multi-response optimization of machining parameters was done by using analysis called desirability function analysis...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Iran University of Science & Technology
2019-03-01
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| Series: | International Journal of Industrial Engineering and Production Research |
| Subjects: | |
| Online Access: | http://ijiepr.iust.ac.ir/article-1-877-en.html |
| _version_ | 1819003527385579520 |
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| author | Mangesh Phate Shraddha Toney Vikas Phate |
| author_facet | Mangesh Phate Shraddha Toney Vikas Phate |
| author_sort | Mangesh Phate |
| collection | DOAJ |
| description | In the Wire EDM of oil hardening die steel materials is a complicated machining process. Hence to find out the best set of process parameters is an important step in wire EDM process. Multi-response optimization of machining parameters was done by using analysis called desirability function analysis coupled with the dimensional analysis approach. In the present work, based on Taguchi’s L27 orthogonal array, number experiments were conducted for OHNS material. The WEDM process parameters such as, pulse on time , pulse off time, input current, wire feed rate and the servo voltage are optimized by multi-response considerations such as material removal rate and surface roughness. Based on desirability analysis, the most favorable levels of parameters have been known. The significant contribution of parameters is determined by dimensional analysis. The experimental results show that the results obtain by using DA approach has a good agreement with the measured responses. The correlation up to 99% has been achieved between the developed model and the measured responses by using dimensional analysis approach.
In the Wire EDM of oil hardening die steel materials is a complicated machining process. Hence to find out the best set of process parameters is an important step in the wire EDM process. Multi-response optimization of machining parameters was done by using analysis called desirability function analysis coupled with the dimensional analysis approach. In the present work, based on Taguchi’s L27 orthogonal array, number experiments were conducted for OHNS material. The WEDM process parameters such as pulse on time, pulse off time, input current, wire feed rate, and the servo voltage are optimized by multi-response considerations such as material removal rate and surface roughness. Based on desirability analysis, the most favorable levels of parameters have been known. The significant contribution of parameters is determined by dimensional analysis. The experimental results show that the results obtain by using DA approach has a good agreement with the measured responses. The correlation up to 99% has been achieved between the developed model and the measured responses by using dimensional analysis approach. |
| first_indexed | 2024-12-20T23:22:25Z |
| format | Article |
| id | doaj.art-0460e7b986b641ae9229bf7f45d202d9 |
| institution | Directory Open Access Journal |
| issn | 2008-4889 2345-363X |
| language | English |
| last_indexed | 2024-12-20T23:22:25Z |
| publishDate | 2019-03-01 |
| publisher | Iran University of Science & Technology |
| record_format | Article |
| series | International Journal of Industrial Engineering and Production Research |
| spelling | doaj.art-0460e7b986b641ae9229bf7f45d202d92022-12-21T19:23:28ZengIran University of Science & TechnologyInternational Journal of Industrial Engineering and Production Research2008-48892345-363X2019-03-013011123Optimization Performance Parameters of OHNS Die Steel using Dimensional Analysis Intergrated with Desirability FunctionMangesh Phate0Shraddha Toney1Vikas Phate2 All India Shri Shivaji Memorial Society’s College of Engineering , Pune, Maharashtra,India -411001 Sinhgad Institute of Technology & Science , Pune, Maharashtra, India -411041 Government Polytechnic, Murtizapur, Maharashtra, India -444107 In the Wire EDM of oil hardening die steel materials is a complicated machining process. Hence to find out the best set of process parameters is an important step in wire EDM process. Multi-response optimization of machining parameters was done by using analysis called desirability function analysis coupled with the dimensional analysis approach. In the present work, based on Taguchi’s L27 orthogonal array, number experiments were conducted for OHNS material. The WEDM process parameters such as, pulse on time , pulse off time, input current, wire feed rate and the servo voltage are optimized by multi-response considerations such as material removal rate and surface roughness. Based on desirability analysis, the most favorable levels of parameters have been known. The significant contribution of parameters is determined by dimensional analysis. The experimental results show that the results obtain by using DA approach has a good agreement with the measured responses. The correlation up to 99% has been achieved between the developed model and the measured responses by using dimensional analysis approach. In the Wire EDM of oil hardening die steel materials is a complicated machining process. Hence to find out the best set of process parameters is an important step in the wire EDM process. Multi-response optimization of machining parameters was done by using analysis called desirability function analysis coupled with the dimensional analysis approach. In the present work, based on Taguchi’s L27 orthogonal array, number experiments were conducted for OHNS material. The WEDM process parameters such as pulse on time, pulse off time, input current, wire feed rate, and the servo voltage are optimized by multi-response considerations such as material removal rate and surface roughness. Based on desirability analysis, the most favorable levels of parameters have been known. The significant contribution of parameters is determined by dimensional analysis. The experimental results show that the results obtain by using DA approach has a good agreement with the measured responses. The correlation up to 99% has been achieved between the developed model and the measured responses by using dimensional analysis approach.http://ijiepr.iust.ac.ir/article-1-877-en.htmldesirability functiondimensional analysismultirespone optimization ohns die steel. |
| spellingShingle | Mangesh Phate Shraddha Toney Vikas Phate Optimization Performance Parameters of OHNS Die Steel using Dimensional Analysis Intergrated with Desirability Function International Journal of Industrial Engineering and Production Research desirability function dimensional analysis multirespone optimization ohns die steel. |
| title | Optimization Performance Parameters of OHNS Die Steel using Dimensional Analysis Intergrated with Desirability Function |
| title_full | Optimization Performance Parameters of OHNS Die Steel using Dimensional Analysis Intergrated with Desirability Function |
| title_fullStr | Optimization Performance Parameters of OHNS Die Steel using Dimensional Analysis Intergrated with Desirability Function |
| title_full_unstemmed | Optimization Performance Parameters of OHNS Die Steel using Dimensional Analysis Intergrated with Desirability Function |
| title_short | Optimization Performance Parameters of OHNS Die Steel using Dimensional Analysis Intergrated with Desirability Function |
| title_sort | optimization performance parameters of ohns die steel using dimensional analysis intergrated with desirability function |
| topic | desirability function dimensional analysis multirespone optimization ohns die steel. |
| url | http://ijiepr.iust.ac.ir/article-1-877-en.html |
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