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Surface roughness modeling of semi solid aluminum milling by fuzzy logic

Author

Listed:
  • Savkovic B.

    (Faculty of Technical Sciences, University of Novi Sad, Novi Sad, Serbia)

  • Kovac P.

    (Faculty of Technical Sciences, University of Novi Sad, Novi Sad, Serbia)

  • Mankova I.

    (Faculty of Mechanical Engineering, Technical University of Kos?ice, Kos?ice, Slovakia)

  • Gostimirovic M.

    (Faculty of Technical Sciences, University of Novi Sad, Novi Sad, Serbia)

  • Rokosz K.

    (Koszalin University of Technology, Koszalin, Poland)

  • Rodic D.

    (Faculty of Technical Sciences, University of Novi Sad, Novi Sad, Serbia)

Abstract

In the paper carried out was modeling of cutting parameters in face milling process of Semi Solid Metal alloys. As input parameters in the process of modeling were taken: cutting speed v, the feed per tooth and depth of cut, while for the output characteristics of the process were taken arithmetic mean surface roughness Ra and maximum roughness height Rmax. Modeling was done in two ways. The first model was made with the help of mathematical and statistical method- factorial experiment DoE, where it was used model with parameters’ interaction. The second model was made by artificial intelligence and as a tool was chosen fuzzy logic.

Suggested Citation

  • Savkovic B. & Kovac P. & Mankova I. & Gostimirovic M. & Rokosz K. & Rodic D., 2017. "Surface roughness modeling of semi solid aluminum milling by fuzzy logic," Journal of Advances in Technology and Engineering Research, A/Professor Akbar A. Khatibi, vol. 3(2), pages 34-46.
    • Handle: RePEc:apb:jaterr:2017:p:34-46
    DOI: 10.20474/jater-3.2.2
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    References listed on IDEAS

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    1. Harnedi Maizir & Reni Suryanita & Hendra Jingga, 2016. "Estimation of Pile Bearing Capacity of Single Driven Pile in Sandy Soil Using Finite Element and Artificial Neural Network Methods," International Journal of Applied and Physical Sciences, Dr K.Vivehananthan, vol. 2(2), pages 45-50.
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    Cited by:

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