Optimization of Performance Parameters for OHNS Die Steel using Dimensional Analysis Integrated with Desirability Function

  • سال انتشار: 1398
  • محل انتشار: فصلنامه بین المللی مهندسی صنایع و تحقیقات تولید، دوره: 30، شماره: 1
  • کد COI اختصاصی: JR_IJIEPR-30-1_002
  • زبان مقاله: انگلیسی
  • تعداد مشاهده: 420
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نویسندگان

Mangesh R. Phate

India Shri Shivaji Memorial Society’s College of Engineering , Pune, Maharashtra,India

Shraddha B. Toney

Sinhgad Institute of Technology & Science , Pune, Maharashtra, India

Vikas R. Phate

Government Polytechnic, Murtizapur, Maharashtra, India

چکیده

Wire electrical discharge machining (WEDM) of oil hardening die steel materials is a complicated machining process. Hence, to determine the best set of process parameters is an important step in the wire EDM process. In the present work, multi-response optimization of machining parameters was done by using a technique called desirability function analysis coupled with the dimensional analysis(DA) approach. The experimentations were carried out as per Taguchi’s L27 orthogonal array for (Oil Hardening Non-Shrinking Die Steel) the OHNS die steel material. Parameters of the WEDM process, such as pulse on time, pulse off time, input current, wire feed rate, and the servo voltage, were optimized by a multiresponse optimization technique to optimize the responses such as material removal rate and surface roughness. Based on desirability analysis, the set of most favorable levels of parameters has been identified. The significant contribution of parameters is determined by dimensional analysis. From the experimental results, it has been observed that the DA approach is in 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. Thus, the presented methodology can be used in the future for the critical analysis of any engineering process.

کلیدواژه ها

Desirability function;Dimensional analysis; Multi-response; Optimization; OHNS Die Steel.

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