Advances in materials Research

  • 제1권2호
  • /
  • Pages.129-146
  • /
  • 2012
  • /
  • 2234-0912(pISSN)
  • /
  • 2234-179X(eISSN)
테크노프레스 (Techno-Press)
권호 표지
DOI QR코드

DOI QR Code

Modeling and multiple performance optimization of ultrasonic micro-hole machining of PCD using fuzzy logic and taguchi quality loss function

  • Kumar, Vinod (Department of Mechanical Engineering, Thapar University Patiala) ;
  • kumari, Neelam (Department of Statistics, Punjabi University Patiala)
  • 투고 : 2012.04.10
  • 심사 : 2012.06.21
  • 발행 : 2012.06.25
⟨ 이전 논문 다음 논문 ⟩

초록

Polycrystalline diamond is an ideal material for parts with micro-holes and has been widely used as dies and cutting tools in automotive, aerospace and woodworking industries due to its superior wear and corrosion resistance. In this research paper, the modeling and simultaneous optimization of multiple performance characteristics such as material removal rate and surface roughness of polycrystalline diamond (PCD) with ultrasonic machining process has been presented. The fuzzy logic and taguchi's quality loss function has been used. In recent years, fuzzy logic has been used in manufacturing engineering for modeling and monitoring. Also the effect of controllable machining parameters like type of abrasive slurry, their size and concentration, nature of tool material and the power rating of the machine has been determined by applying the single objective and multi-objective optimization techniques. The analysis of results has been done using the MATLAB 7.5 software and results obtained are validated by conducting the confirmation experiments. The results show the considerable improvement in S/N ratio as compared to initial cutting conditions. The surface roughness of machined surface has been measured by using the Perthometer (M4Pi, Mahr Germany).

키워드

참고문헌

  1. Azarhoushang, B. and Akbari, J. (2007), "Ultrasonic-assisted drilling of inconel 738-LC", Int. J. Mach. Tool Manuf., 47(7-8), 1027-1033. https://doi.org/10.1016/j.ijmachtools.2006.10.007
  2. Chang, C.K. and Lu, H.S. (2007), "Design optimization of cutting parameters for side milling operations with multiple performance characteristics", Int. J. Adv. Manuf. Tech., 32(1-2), 18-26. https://doi.org/10.1007/s00170-005-0313-5
  3. Deng, C.S. and Chin, J.H. (2005), "Hole roundness in deep hole drilling as analysed by taguchi methods", Int. J. Adv. Manuf. Tech., 25(5-6), 420-426. https://doi.org/10.1007/s00170-003-1825-5
  4. Gaitonde, V.N., Karnik, S. and Achyutha, B.T. (2007), "Methodology of taguchi optimization for multi-objective drilling problem to minimize the burr size", Int. J. Adv. Manuf. Tech., 34(1-2), 1-8. https://doi.org/10.1007/s00170-006-0571-x
  5. Hocheng, H. and Kuo, K.L. (2002), "On-line tool wear monitoring during ultrasonic machining using tool resonance frequency", J. Mater. Process. Tech., 123(1), 80-84. https://doi.org/10.1016/S0924-0136(02)00066-3
  6. Hocheng, H., Tai, H.N. and Liu, C.S. (2000), "Assessment of ultrasonic drilling of C/SiC composite material", Compos. Part A.-Appl. S, 31(2), 133-142. https://doi.org/10.1016/S1359-835X(99)00065-2
  7. Harrison, P. and Henry, M. (2006), "Laser processing of polycrystalline diamond, tungsten carbide and a related composite material", J. Laser Appl., 18(2), 117-126. https://doi.org/10.2351/1.2164472
  8. Kumar, V. and Khamba, S. (2008), "Statistical analysis of experimental parameters in ultrasonic machining of tungsten carbide using taguchi approach", J. Am. Ceram. Soc., 91(1), 92-96.
  9. Kumar, V. and Khamba, J.S. (2009), "Parametric optimization of ultrasonic machining of Co-based super alloy using the taguchi multi-objective approach", J. Prod. Res. Des., 3(4-5), 417-425.
  10. Kumar, V. and Khamba, J.S. (2006), "Experimental Investigation of ultrasonic machining of alumina-based ceramic composite", J. Am. Ceram. Soc., 89(8), 2413-2417. https://doi.org/10.1111/j.1551-2916.2006.01085.x
  11. Phadke, M.S. (1989), Quality engineering using robust design, Prentice Hall, Englewood Cliffs, New Jersey.
  12. Roy, R.K. (1990), A premier on the taguchi method, Van Nostrand Reinhold, New York.
  13. Tsao, C.C. (2009), "Grey-Taguchi method to optimize the milling parameters", Int. J. Adv. Manuf. Tech., 40(1-2), 41-48. https://doi.org/10.1007/s00170-007-1314-3
  14. Tso, P.L. and Liu, Y.G. (2002), "Study on PCD machining", Int. J. Mach. Tool. Manuf., 42(3), 331-334 https://doi.org/10.1016/S0890-6955(01)00131-6
  15. Tosun, N. (2006), "Determination of optimum parameters for multi-performance characteristics in drilling by using grey relational analysis", Int. J. Adv. Manuf. Tech., 28(5-6), 450-455. https://doi.org/10.1007/s00170-004-2386-y
  16. Zeng, W.M., Li, Z.C., Pei, Z.J. and Treadwell, C. (2005), "Experimental observation of tool wear in rotary ultrasonic machining of advanced ceramics", Int. J. Mach. Tool. Manuf., 45(12-13), 1468-1473. https://doi.org/10.1016/j.ijmachtools.2005.01.031