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Response surface Methodology and Desirability Approach to Optimize EDM Parameters

์ฒซ ํŽ˜์ด์ง€ ๋ณด๊ธฐ
  • ๋ฐœํ–‰๊ธฐ๊ด€
    ๋ณด์•ˆ๊ณตํ•™์—ฐ๊ตฌ์ง€์›์„ผํ„ฐ(IJHIT) ๋ฐ”๋กœ๊ฐ€๊ธฐ
  • ๊ฐ„ํ–‰๋ฌผ
    International Journal of Hybrid Information Technology ๋ฐ”๋กœ๊ฐ€๊ธฐ
  • ํ†ต๊ถŒ
    Vol.9 No.4 (2016.04)๋ฐ”๋กœ๊ฐ€๊ธฐ
  • ํŽ˜์ด์ง€
    pp.393-406
  • ์ €์ž
    ChittaranjanDas. V
  • ์–ธ์–ด
    ์˜์–ด(ENG)
  • URL
    https://www.earticle.net/Article/A272968

โ€ป ์›๋ฌธ์ œ๊ณต๊ธฐ๊ด€๊ณผ์˜ ํ˜‘์•ฝ๊ธฐ๊ฐ„์ด ์ข…๋ฃŒ๋˜์–ด ์—ด๋žŒ์ด ์ œํ•œ๋  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

์›๋ฌธ์ •๋ณด

์ดˆ๋ก

์˜์–ด
In the present work, Electrical discharge machining (EDM) was employed along with silicon abrasive powders mixed in dielectric fluid to machine AISI 52100 tool steel workpiece with copper electrode by adopting centered central composite (CCD) design of response surface methodology. To realize the process performance of material removal rate and surface roughness variables such as Pulse on time, duty cycle, peak current and the Silicon powder concentration with particle concentration and size of 2.5โ€“2.8 g/L and 45โ€“50ฮผm, respectively, have been added into the kerosene dielectric liquid of a die-sinking electrical discharge machine. Analysis of variance (ANOVA) has been applied to study the influence of process parameters and their interactions. In addition a mathematical model has been formulated in order to estimate the process performance. Further, the parameters were optimized for maximizing MRR and minimizing SR using desirability function approach. The optimum settings of parameters are pulse on time 200ฮผ๐‘ , duty cycle 0.81, peak current 11A, concentration 4 g/l, for maximizing MRR and minimizing SR.The recommended optimal process conditions have been verified by conducting confirmation experiments. The obtained optimal settings are experimentally verified showing +5.2% and -4.65% as the relative errors for MRR and SR respectively.

๋ชฉ์ฐจ

Abstract
 1. Introduction
 2. Literature Review
 3. Powder Mixed EDM Process
 4. Experimental detail
 5. Powder mixed EDM process parameters.
 6. Response surface methodology
 7. Experimental plan
 8. Results and discussions
  8.1 Mathematical modeling and Analysis of material removal rate
  8.2 Mathematical modeling and Analysis of surface roughness
 9. Multi Response Optimization
 10. Conclusions
 References

ํ‚ค์›Œ๋“œ

Powder mixed EDM RSM Material removal rate MRR Surface roughness SR

์ €์ž

  • ChittaranjanDas. V [ Department of Mechanical Engineering, R.V.R.&J.C. COLLEGE OF ]

์ฐธ๊ณ ๋ฌธํ—Œ

์ž๋ฃŒ์ œ๊ณต : ๋„ค์ด๋ฒ„ํ•™์ˆ ์ •๋ณด

๊ฐ„ํ–‰๋ฌผ ์ •๋ณด

๋ฐœํ–‰๊ธฐ๊ด€

  • ๋ฐœํ–‰๊ธฐ๊ด€๋ช…
    ๋ณด์•ˆ๊ณตํ•™์—ฐ๊ตฌ์ง€์›์„ผํ„ฐ(IJHIT) [Science & Engineering Research Support Center, Republic of Korea(IJHIT)]
  • ์„ค๋ฆฝ์—ฐ๋„
    2006
  • ๋ถ„์•ผ
    ๊ณตํ•™>์ปดํ“จํ„ฐํ•™
  • ์†Œ๊ฐœ
    1. ๋ณด์•ˆ๊ณตํ•™์— ๋Œ€ํ•œ ๊ฐ์ข… ์กฐ์‚ฌ ๋ฐ ์—ฐ๊ตฌ 2. ๋ณด์•ˆ๊ณตํ•™์— ๋Œ€ํ•œ ์‘์šฉ๊ธฐ์ˆ  ์—ฐ๊ตฌ ๋ฐ ๋ฐœํ‘œ 3. ๋ณด์•ˆ๊ณตํ•™์— ๊ด€ํ•œ ๊ฐ์ข… ํ•™์ˆ  ๋ฐœํ‘œํšŒ ๋ฐ ์ „์‹œํšŒ ๊ฐœ์ตœ 4. ๋ณด์•ˆ๊ณตํ•™ ๊ธฐ์ˆ ์˜ ์ƒํ˜ธ ํ˜‘์กฐ ๋ฐ ์ •๋ณด๊ตํ™˜ 5. ๋ณด์•ˆ๊ณตํ•™์— ๊ด€ํ•œ ํ‘œ์ค€ํ™” ์‚ฌ์—… ๋ฐ ๊ทœ๊ฒฉ์˜ ์ œ์ • 6. ๋ณด์•ˆ๊ณตํ•™์— ๊ด€ํ•œ ์‚ฐํ•™์—ฐ ํ˜‘๋™์˜ ์ฆ์ง„ 7. ๊ตญ์ œ์  ํ•™์ˆ  ๊ต๋ฅ˜ ๋ฐ ๊ธฐ์ˆ  ํ˜‘๋ ฅ 8. ๋ณด์•ˆ๊ณตํ•™์— ๊ด€ํ•œ ๋…ผ๋ฌธ์ง€ ๋ฐœ๊ฐ„ 9. ๊ธฐํƒ€ ๋ณธ ํšŒ ๋ชฉ์  ๋‹ฌ์„ฑ์— ํ•„์š”ํ•œ ์‚ฌ์—…

๊ฐ„ํ–‰๋ฌผ

  • ๊ฐ„ํ–‰๋ฌผ๋ช…
    International Journal of Hybrid Information Technology
  • ๊ฐ„๊ธฐ
    ๊ฒฉ์›”๊ฐ„
  • pISSN
    1738-9968
  • ์ˆ˜๋ก๊ธฐ๊ฐ„
    2008~2016
  • ์‹ญ์ง„๋ถ„๋ฅ˜
    KDC 505 DDC 605

์ด ๊ถŒํ˜ธ ๋‚ด ๋‹ค๋ฅธ ๋…ผ๋ฌธ / International Journal of Hybrid Information Technology Vol.9 No.4

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