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Optimum surface roughness evaluation of dies steel H-11 with CNC milling using RSM with desirability function

Author

Listed:
  • Mandeep Chahal

    (HCTM)

  • Vikram Singh

    (YMCAUST)

  • Rohit Garg

    (Indus Institute of Engineering and Technology)

Abstract

Machinability aspect is of paramount importance for efficient process planning in manufacturing. Machinability of work materials is an imperative aspect which may affect the different manufacturing phases including product design, process planning and machining operation. Machinability of engineering materials may be evaluated in terms of process output variables like surface roughness (SR), material removal rate, cutting forces etc. CNC milling has become one of the most competent, productive and flexible manufacturing methods, for complicated or sculptured surfaces. With the more precise demands of modern engineering products, the control of surface texture has become more important. This paper reports mathematical model for correlating the milling machining parameters such as spindle speed, table feed rate, depth of cut, step over and coolant pressure, with the response characteristic, SR, while machining hot die steel, H-11 with titanium coated carbide end mill cutter. The response surface methodology in conjunction with face centered central composite rotatable design has been used to develop the empirical model for the response. The significance of the mathematical model developed was ascertained using desirability functions and confirmation experiments. The results obtained depict that the mathematical model is useful not only for predicting optimal process parameters for achieving the desired quality but also for achieving the process optimization.

Suggested Citation

  • Mandeep Chahal & Vikram Singh & Rohit Garg, 2017. "Optimum surface roughness evaluation of dies steel H-11 with CNC milling using RSM with desirability function," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 8(2), pages 432-444, June.
    • Handle: RePEc:spr:ijsaem:v:8:y:2017:i:2:d:10.1007_s13198-016-0446-y
    DOI: 10.1007/s13198-016-0446-y
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    References listed on IDEAS

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    1. Aman Aggarwal & Hari Singh & Pradeep Kumar & Manmohan Singh, 2009. "Simultaneous optimisation of conflicting responses for CNC turned parts using desirability function," International Journal of Manufacturing Technology and Management, Inderscience Enterprises Ltd, vol. 18(3), pages 319-332.
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    Cited by:

    1. Sunil Kumar & Ravindra Nath Yadav & Raghuvir Kumar, 2020. "Empirical modeling and multi-response optimization of duplex turning for Ni-718 alloy," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 11(1), pages 126-139, February.

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