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Process Variables Optimization in Lapping of EN8 Material Using Taguchi Method

Received: 30 May 2018     Accepted: 25 July 2018     Published: 12 September 2018
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Abstract

The main aim of this work is to minimize the surface roughness in the flat lapping of EN8 material. The process variables considered for the study were lapping time, abrasive size and abrasive carrier oil proportion. The mathematical model related to the lapping such as surface finish model, stress model and its significance was understood. The (L9) orthogonal array in Taguchi method was utilized to conduct the experiments and surface roughness values were measured. The significance of each process variable on the surface roughness was studied using S/N ratio results. From the results, it was inferred that most influence factor among process variables is abrasive carrier oil proposition in slurry. Response table showed a delta value of 0.1967 for the abrasive carrier oil proposition in slurry. The optimum combination of process variables was determined based on S/N ratio and it was understood that minimum aluminum oxide abrasive proportion in slurry provides better surface quality in lapping of EN8 material. The optimum combination for minimum surface roughness were 15 minutes lapping time, 80 µm abrasive size and 1:3 abrasive carrier oil proportion in slurry.

Published in Engineering Mathematics (Volume 2, Issue 1)
DOI 10.11648/j.engmath.20180201.15
Page(s) 50-55
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2018. Published by Science Publishing Group

Keywords

Lapping, Surface Roughness, Taguchi Method, S/N Ratio

References
[1] Jeoung-Du-Kim, Min-Seong Choi, “A study on the optimization of the cylindrical lapping process for engineering fine ceramics (Al2O3) by the statistical design method”, Journal of Material ProcessingTechnology(1995), pp368-385.
[2] Chandrasekar and T. N Farris, “Mechanics of Polishing”, Journal of Applied Mechanics (1998). Vol 65(2) pp 410-416.
[3] Kuo-Yi Chang, Yu-Hua Song, Tsann-Rong Lin, “Analysis of lapping and polishing of a gauge block”, International Journal of Advanced Manufacturing Technology (2002). Vol 20(6) pp 414-419.
[4] Shibata, B. Golman, k. Shinohara H. C, “Profile analysis of surfaces lapped with diamond particles of several shapes”, Wear Journal (2003). Vol 254(8) pp 742-748.
[5] J kang, M Hadfield, “The effects of lapping load in finishing advanced ceramic balls on a novel eccentric lapping machine”, Institution of Mechanical Engineers (2005). Vol 219 (7) pp 505-513.
[6] J H Liu, Z J Pei, Graham R. Fisher, “Grinding wheels for manufacturing of silicon wafers: A literature review”, International Journal of Machine Tools and Manufacture (2007). Vol 47(1), pp1-13.
[7] J. K. Won, Y. J. Chun, M. W. Cho, J. H. Lee., “Ultra-precision lapping of machinable ceramic Si3N4-BN by in process electrolytic dressing”, International Journal of Advanced Manufacturing (2007). Vol 31(12). pp 1101-1108.
[8] Lalit Suhas Deshpande, Raman, Sunanta, Agbaraji, “Observations in flat lapping of stainless steel and bronze”, Wear Journal (2008). Vol 265, pp105-116.
[9] Fan Jiang, Jian Hua Xiang, Zhong Wei Liang, Chun Liang Zhang, "The Optimization of Lapping Process Parameters Based on Extension Theory", Key Engineering Materials, Vols. 531-532, pp. 262-265, 2012.
[10] Sitthikorn Duangkaew · Pongchanun Luangpaiboon, “Surface Lapping Process Improvement via Steepest Ascent Method Based on Factorial and Simplex Designs,” (2013).
[11] Tiberiu Dobrescu, Nicoleta-Elisabeta Pascu, Gabriel Jigs, ConstantinOpran, “Optimization criteria of Plane Lapping Machines”, (2014) Procedia Engineering, Vol 100, pp428-434
[12] Jian Bin Wang, Zhen Li, Hong Gao, Da Shu, Ping Xiao, "Process Optimization of Lapping Sapphire Substrate with Fixed Diamond Abrasive Pad", Key Engineering Materials, (2016), Vol. 693, pp. 1090-1097.
[13] Adam Barylski “Optimization of kinematic parameters in single sided lapping”, doi: 10.17814/mechanik.2017.10.134
[14] A K Hussain, K Q Lee, L M Aung, A Abu1, L K Tan and H S Kang, “IOP Conference Series: Materials Science and Engineering, doi:10.1088/1757-899X/290/1/012014
[15] Lynah, P. R., "Lapping," ASM Handbook, Vol. 16, 1989, pp. 492-505.
[16] Subramanian, K., "Finishing Methods Using Multipoint or Random Cutting Edges," ASM Handbook, Vol. 5, 1994, pp. 90-91, 105-106.
[17] Indge, John H., "Lapping, Honing, and Polishing," ASM Handbook, Vol. 4, 1992, pp. 351-358.
[18] Brooman, Eric W., "Design for Surface Finishing," ASM Handbook, Vol. 20 (Material Selection and Design), pp. 820-827.
[19] Paul Mathews, “Design of experiments with MINITAB," 2005, pp 93-105.
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  • APA Style

    Rajesh Ramadass, Saravanan Sambasivam. (2018). Process Variables Optimization in Lapping of EN8 Material Using Taguchi Method. Engineering Mathematics, 2(1), 50-55. https://doi.org/10.11648/j.engmath.20180201.15

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    ACS Style

    Rajesh Ramadass; Saravanan Sambasivam. Process Variables Optimization in Lapping of EN8 Material Using Taguchi Method. Eng. Math. 2018, 2(1), 50-55. doi: 10.11648/j.engmath.20180201.15

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    AMA Style

    Rajesh Ramadass, Saravanan Sambasivam. Process Variables Optimization in Lapping of EN8 Material Using Taguchi Method. Eng Math. 2018;2(1):50-55. doi: 10.11648/j.engmath.20180201.15

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  • @article{10.11648/j.engmath.20180201.15,
      author = {Rajesh Ramadass and Saravanan Sambasivam},
      title = {Process Variables Optimization in Lapping of EN8 Material Using Taguchi Method},
      journal = {Engineering Mathematics},
      volume = {2},
      number = {1},
      pages = {50-55},
      doi = {10.11648/j.engmath.20180201.15},
      url = {https://doi.org/10.11648/j.engmath.20180201.15},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.engmath.20180201.15},
      abstract = {The main aim of this work is to minimize the surface roughness in the flat lapping of EN8 material. The process variables considered for the study were lapping time, abrasive size and abrasive carrier oil proportion. The mathematical model related to the lapping such as surface finish model, stress model and its significance was understood. The (L9) orthogonal array in Taguchi method was utilized to conduct the experiments and surface roughness values were measured. The significance of each process variable on the surface roughness was studied using S/N ratio results. From the results, it was inferred that most influence factor among process variables is abrasive carrier oil proposition in slurry. Response table showed a delta value of 0.1967 for the abrasive carrier oil proposition in slurry. The optimum combination of process variables was determined based on S/N ratio and it was understood that minimum aluminum oxide abrasive proportion in slurry provides better surface quality in lapping of EN8 material. The optimum combination for minimum surface roughness were 15 minutes lapping time, 80 µm abrasive size and 1:3 abrasive carrier oil proportion in slurry.},
     year = {2018}
    }
    

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  • TY  - JOUR
    T1  - Process Variables Optimization in Lapping of EN8 Material Using Taguchi Method
    AU  - Rajesh Ramadass
    AU  - Saravanan Sambasivam
    Y1  - 2018/09/12
    PY  - 2018
    N1  - https://doi.org/10.11648/j.engmath.20180201.15
    DO  - 10.11648/j.engmath.20180201.15
    T2  - Engineering Mathematics
    JF  - Engineering Mathematics
    JO  - Engineering Mathematics
    SP  - 50
    EP  - 55
    PB  - Science Publishing Group
    SN  - 2640-088X
    UR  - https://doi.org/10.11648/j.engmath.20180201.15
    AB  - The main aim of this work is to minimize the surface roughness in the flat lapping of EN8 material. The process variables considered for the study were lapping time, abrasive size and abrasive carrier oil proportion. The mathematical model related to the lapping such as surface finish model, stress model and its significance was understood. The (L9) orthogonal array in Taguchi method was utilized to conduct the experiments and surface roughness values were measured. The significance of each process variable on the surface roughness was studied using S/N ratio results. From the results, it was inferred that most influence factor among process variables is abrasive carrier oil proposition in slurry. Response table showed a delta value of 0.1967 for the abrasive carrier oil proposition in slurry. The optimum combination of process variables was determined based on S/N ratio and it was understood that minimum aluminum oxide abrasive proportion in slurry provides better surface quality in lapping of EN8 material. The optimum combination for minimum surface roughness were 15 minutes lapping time, 80 µm abrasive size and 1:3 abrasive carrier oil proportion in slurry.
    VL  - 2
    IS  - 1
    ER  - 

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Author Information
  • Department of Production Engineering, PSG College of Technology, Coimbatore, India

  • Department of Production Engineering, PSG College of Technology, Coimbatore, India

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