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首页> 外文期刊>Journal of Materials Research >Parametric optimization of electrical discharge machining process on alpha-beta brass using grey relational analysis
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Parametric optimization of electrical discharge machining process on alpha-beta brass using grey relational analysis

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摘要

In the present work, a multi response optimization technique based on Taguchi method coupled with grey relational analysis is used for electrical discharge machining operations on duplex (alpha-beta) brass. Stir casting technique was used to fabricate the duplex brass plates. The mechanical properties of the material are reported. Experiments were conducted with three machining variables such as current, pulse-on time and spark voltage and planned as per Taguchi technique. Material removal rate (MRR), electrode wear rate (EWR), and surface roughness (SR) are chosen as output parameters for this study. Results showed that, peak current and spark voltage were the significant parameters to affect MRR, EWR, and SR as per grey relational grade. The optimal combination parameters were identified as A(3)B(3)C(2) i.e., pulse current at 14 A, pulse on-time at 200 mu s, and voltage at 50 V. Analysis of variance was used for analyzing the results. The confirmation tests were performed to validate the results obtained by grey relational analysis and the improvement was achieved.

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  • 来源
    《Journal of Materials Research》 |2016年第16期|2531-2537|共7页
  • 作者

    Marichamy S.; Saravanan M.; Ravichandran M.Veerappan G.;

  • 作者单位

    Anna Univ Chennai, Vickram Coll Engn, Dept Mech Engn, Sivagangai 630561, Tamil Nadu, India;

    Anna Univ Chennai, Sri Subramanya Coll Engn & Technol, Dept Mech Engn, Palani 624615, Tamil Nadu, India;

    Anna Univ Chennai, Chendhuran Coll Engn & Technol, Dept Mech Engn, Pudukkottai 622507, Tamil Nadu, India;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);
  • 原文格式 PDF
  • 正文语种 英语
  • 中图分类 工程材料学;
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