본문 바로가기
KERD
논문KCI 등재

Analyze the various effects of cutting tools in the machining of titanium alloy

2

조회

0

다운로드

0

인용

0

참고문헌

키워드

주제분류재료공학

초록

Titanium alloy has dominated in mechanical-based industries due to its superior tensile strength, toughness, and corrosionresistance. This research involves the development of a wear model integrated with the FEM model. A numerical study andexperimental work were conducted to variant tool nose radius, cutting speed, and feed rate in the machining of titanium alloy. The machining operation was properly simulated using Deform2D commercial-based software to predict the cutting force, toolwear, and cutting zone temperature. In addition, the same output response was assessed in the experimental technique byemploying all geared lathes. In both the experiment and simulation conditions, the least cutting force was produced at thelowest feed rate and the smallest nose radius. It was noticed from the data that the cutting zone temperature at the cuttingzone region was raised with an increase in the tool nose radius. Utmost tool wear was recorded at the minimal tool nose radiusand minimum feed rate. Cutting speed plays a vital function in the evaluation of tool wear and nose radius in the predictionand assessment of cutting tool force and tool interface temperature. Tool wear study and surface morphology were fullyexplored with the assistance of SEM images.

Abstract

Titanium alloy has dominated in mechanical-based industries due to its superior tensile strength, toughness, and corrosionresistance. This research involves the development of a wear model integrated with the FEM model. A numerical study andexperimental work were conducted to variant tool nose radius, cutting speed, and feed rate in the machining of titanium alloy. The machining operation was properly simulated using Deform2D commercial-based software to predict the cutting force, toolwear, and cutting zone temperature. In addition, the same output response was assessed in the experimental technique byemploying all geared lathes. In both the experiment and simulation conditions, the least cutting force was produced at thelowest feed rate and the smallest nose radius. It was noticed from the data that the cutting zone temperature at the cuttingzone region was raised with an increase in the tool nose radius. Utmost tool wear was recorded at the minimal tool nose radiusand minimum feed rate. Cutting speed plays a vital function in the evaluation of tool wear and nose radius in the predictionand assessment of cutting tool force and tool interface temperature. Tool wear study and surface morphology were fullyexplored with the assistance of SEM images.

참고문헌 (35)

  1. Z. A. M. Tagiuri, , Mater, 15(9), pp.3369~3376 (2022)
  2. A. B. PoP, , Arch. Metall. Mater, 67(2), pp.120~126 (2022)
  3. A. B. Pop, , IOP Conf. Mater. Sci. Eng, 1235(1), pp.2019~2026 (2022)
  4. C. Cappellini, , Int. J. Adv. Manuf. Technol, 120(3), pp.2055~2073 (2022)
  5. K. Zhuang, , Int. J. Adv. Manuf. Technol, 121, pp.6763~6781 (2022)
  6. I. P. Okokpujie, , J. Adv. Res. Fluid Mech, 97(2), pp.8~25 (2022)
  7. M. A. Sofuoğlu, , J. Braz. Soc. Mech. Sci. Eng, 40(3), pp.1~12 (2018)
  8. G. Shi, , UPB Sci. Bull., Series D, 80(3), pp.1~10 (2018)
  9. A. K. Parida, , Measurement, 133, pp.361~369 (2019)
  10. M. A. Sofuoğlu, , J. Adv. Manuf. Eng, 2(2), pp.33~41 (2021)
  11. M. Lotfi, , P I MECH ENG E-J PRO, 232(4), pp.438~448 (2018)
  12. J. Airao, , Procedia CIRP, 102, pp.61~66 (2021)
  13. K. Leksycki, , Metals, 10(9), pp.1187~ (2020)
  14. J. Zhou, , Proc. Inst. Mech. Eng., Part B, 234(3), pp.584~599 (2020)
  15. E. Kaya, , Euro. J. Sci. Technol, (14), pp.164~168 (2018)
  16. F. Çakır, , Euro. J. Eng. Natural Sci, 3(2), pp.300~306 (2019)
  17. B. Shi, , Procedia CIRP, 108, pp.424~429 (2022)
  18. B. Denkena, , CIRP J. Manuf. Sci. Technol, 35, pp.494~501 (2021)
  19. H. Xu, , Mater, 12(19), pp.3096~3100 (2019)
  20. B. S. Sahib, , IOP Conf. Mater. Sci. Eng, 671(1), pp.1100~1105 (2020)
  21. C. S. Kumar, , Surf. Coat. Technol, 309, pp.266~281 (2017)
  22. V. Sivalingam, , Tribol. Int, 148, pp.106~111 (2020)
  23. V. Sivalingam, , Measurement, 174, pp.109~118 (2021)
  24. D. Pritima, , Surf. Topogr. Metrol. Prop, 10(2), pp.250~257 (2022)
  25. C. S. Kumar, , J. Manuf. Process, 31, pp.336~347 (2018)
  26. V. N. Gaitonde, , Mater. Manuf. Process, 24(12), pp.1373~1382 (2009)
  27. S. Tooptong, , Wear, 484, pp.203982~ (2021)
  28. K. Aslantas, , Wear, 274, pp.442~451 (2012)
  29. A. Polishetty, , Procedia Eng, 97, pp.357~364 (2014)
  30. L. M. Azaath, , Mater. Today : Proc, 37, pp.3731~3736 (2021)
  31. L. M. Azaath, , Int. J. Mater. Res, 112(6), pp.486~497 (2021)
  32. J. Ren, , Int. J. Adv. Manuf. Technol, 97(9), pp.3671~3682 (2018)
  33. Seenivasan Murugesan, "Experimental investigation and optimization for surface roughness for turning of AISI 1040 steel", Journal of Ceramic Processing Research, 23(3), pp.367~372 (2022), 청정에너지연구소[DOI]
  34. T. Tamilanban, , Process. Res, 22(6), pp.629~635 (2021)
  35. Senthilkumar KM, "Optimization of stir casting process parameter using response surface meth odology", Journal of Ceramic Processing Research, 23(2), pp.233~236 (2022), 청정에너지연구소[DOI]

관련 논문AI추천

이 간행물의 다른 논문 (22건)