• Title of article

    A study on the machinability of some metal alloys using grey TOPSIS method

  • Author/Authors

    Dey ، Swarat نويسنده Department of Production Engineering, Jadavpur University, Kolkata - 700 032, West Bengal, India , , Chakraborty، Shankar نويسنده ,

  • Issue Information
    فصلنامه با شماره پیاپی 15 سال 2016
  • Pages
    14
  • From page
    31
  • To page
    44
  • Abstract
    The machinability of a material can be defined as the ease with which it can be machined. Materials with good machinability property require less power to cut, can be cut quickly, and easily obtain a good finish without wearing the tooling much. Therefore, to manufacture components economically, production engineers are challenged to discover ways to determine machinability of materials which mainly depends on their mechanical properties, as well as on other cutting conditions. In this paper, the machinability characteristics of alloys of three materials, i.e. aluminium, copper and steel are studied applying grey TOPSIS (technique for order preference by similarity to ideal solution) method. For each case, eight different alloys are considered whose machinability is evaluated based on different mechanical properties which are expressed in grey numbers. Using the adopted methodology, it now becomes easier for the manufacturers to select a particular alloy that can be easily machined. It is observed that A357RC, CuCr1Zr and AISI 5140 are the best machinable aluminium, copper and steel alloys, respectively. It is also found that the ranking performance of grey TOPSIS method remains unaffected with the variation in greyness of the considered mechanical property values.
  • Journal title
    Decision Science Letters
  • Serial Year
    2016
  • Journal title
    Decision Science Letters
  • Record number

    2260156