Grinding Wheel Abrasive Material Selection Using Fuzzy TOPSIS Method

被引:58
|
作者
Maity, Saikat Ranjan [1 ]
Chakraborty, Shankar [2 ]
机构
[1] Haldia Inst Technol, Dept Prod Engn, E Midnapur, W Bengal, India
[2] Jadavpur Univ, Dept Prod Engn, Kolkata 700032, W Bengal, India
关键词
Entropy method; Fuzzy TOPSIS; Grinding wheel abrasive; Material selection; Ranking; MULTIOBJECTIVE OPTIMIZATION; PARAMETERS;
D O I
10.1080/10426914.2012.700159
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The efficiency of a grinding wheel and quality of surface finish of the machined component mainly depend on the type of abrasive material, abrasive grain size, bonding material, wheel grade, and wheel structure. Modern grinding wheels use various types of abrasive materials, ranging from aluminum oxide to partially stabilized zirconia, and also superabrasive materials, like CBN and diamond. Owing to diverse conflicting necessities, no distinct abrasive material can meet all the requirements of grinding applications. Every abrasive material has its own mechanical and physical properties that make it best for a particular application. Consequently, it is extremely important to select the suitable abrasive for a grinding wheel with the desired properties for enhanced surface finish and grinding performance. This paper considers a list of eight grinding wheel abrasives whose performance is evaluated based on seven criteria. Fuzzy technique for order performance by similarity to ideal solution method is applied to solve this grinding wheel abrasive material selection problem, and a complete ranking of the abrasive material alternatives is achieved. Synthetic polycrystal diamond, cubic boron nitride (CBN), and tungsten carbide, respectively, obtain the first, second and third ranks. Yttria stabilized zirconia is the worst preferred grinding wheel abrasive material. A Pareto optimality analysis also confirms this result.
引用
收藏
页码:408 / 417
页数:10
相关论文
共 50 条
  • [41] Prediction of Blunting Area of Abrasive Grains on a Grinding Wheel
    Dyakonov, Aleksandr A.
    Ardashev, Dmitrii V.
    JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME, 2017, 139 (12):
  • [42] Wear mechanisms of abrasive wheel for rail facing grinding
    Ding, Haohao
    Yang, Jinyu
    Wang, Wenjian
    Liu, Qiyue
    Guo, Jun
    Zhou, Zhongrong
    WEAR, 2022, 504-505
  • [43] Study on wear of the grinding wheel with an abrasive phyllotactic pattern
    Yu, Haiyue
    Lu, Yushan
    Wang, Jun
    WEAR, 2016, 358-359 : 89 - 96
  • [44] Material Selection Framework for Lift-Based Wave Energy Converters Using Fuzzy TOPSIS
    Arredondo-Galeana, Abel
    Yeter, Baran
    Abad, Farhad
    Ordonez-Sanchez, Stephanie
    Lotfian, Saeid
    Brennan, Feargal
    ENERGIES, 2023, 16 (21)
  • [45] Interval type 2-fuzzy TOPSIS and fuzzy TOPSIS method in supplier selection in garment industry
    Yildiz, Aytac
    INDUSTRIA TEXTILA, 2016, 67 (05): : 322 - 332
  • [46] Technology Selection Using the TOPSIS Method
    Halicka, Katarzyna
    FORESIGHT AND STI GOVERNANCE, 2020, 14 (01) : 85 - 96
  • [47] A precision grinding method for screw rotors using CBN grinding wheel
    Wei, Jing
    Zhang, Guanghui
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2010, 48 (5-8): : 495 - 503
  • [48] A precision grinding method for screw rotors using CBN grinding wheel
    Jing Wei
    Guanghui Zhang
    The International Journal of Advanced Manufacturing Technology, 2010, 48 : 495 - 503
  • [49] Two interval type 2 fuzzy TOPSIS material selection methods
    Liao, T. Warren
    MATERIALS & DESIGN, 2015, 88 : 1088 - 1099
  • [50] Experimental investigation on grinding performance of microcrystalline alumina abrasive grinding wheel for superalloys
    Dong, Zhigang
    Zhao, Xiwen
    Zhu, Xianglong
    Kang, Renke
    Hao, Bingjun
    ADVANCES IN ABRASIVE TECHNOLOGY XVI, 2013, 797 : 597 - 602