International Journal of Industrial Engineering & Production Research
Iran University of Science & Technology
Sun, Dec 22, 2024
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Volume 30, Issue 1 (IJIEPR 2019)
IJIEPR 2019, 30(1): 11-23 |
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Phate M, Toney S, Phate V. Optimization Performance Parameters of OHNS Die Steel using Dimensional Analysis Intergrated with Desirability Function. IJIEPR 2019; 30 (1) :11-23
URL: http://ijiepr.iust.ac.ir/article-1-877-en.html
URL: http://ijiepr.iust.ac.ir/article-1-877-en.html
1- All India Shri Shivaji Memorial Society’s College of Engineering , Pune, Maharashtra,India -411001 , mangeshphate03@gmail.com
2- Sinhgad Institute of Technology & Science , Pune, Maharashtra, India -411041
3- Government Polytechnic, Murtizapur, Maharashtra, India -444107
2- Sinhgad Institute of Technology & Science , Pune, Maharashtra, India -411041
3- Government Polytechnic, Murtizapur, Maharashtra, India -444107
Abstract: (3897 Views)
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.
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.
Type of Study: Research |
Subject:
Manufacturing Process & Systems
Received: 2019/01/9 | Accepted: 2019/02/10 | Published: 2019/03/16
Received: 2019/01/9 | Accepted: 2019/02/10 | Published: 2019/03/16
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