Multi-criteria decision making in CBN grinding tool steel using TOPSIS method



  • Bui Thanh Danh University of Transport and Communications
  • Vu Van Khoa National Research Institute of Mechanical Engineering
  • Nguyen Hong Linh Electric Power University
  • Hoang Xuan Tu Thai Nguyen University of Technology
  • Nguyen Van Tung Thai Nguyen University of Technology
  • Bui Thanh Hien (Corresponding Author) Thai Nguyen University of Technology



CBN grinding; MCDM; TOPSIS method; Surface roughness; Material removal speed; SKD11.


 This paper introduces the results of a multi-criteria decision making (MCDM) study when CBN grinding SKD11 tool steel in a CNC milling machine. In this work, the TOPSIS method was applied to solve the MCDM problem, and the Entropy method was used to find the weight of criteria. Also, two criteria were chosen: surface roughness (SR) and material removal speed (MRS). Furthermore, an experiment with design L18 (61+33) was carried out using the Taguchi method. In the experiment, four input parameters were investigated: the dressing cut depth aed (mm), the wheel speed Rpm (rpm), the feed rate Fe (mm/min), and the wheel diameter d (mm). From the results of this work, the best experimental setup was proposed.


[1]. Thinh, H.X., D.D. Trung, “A Research on Application of the Measurement of Alternatives and Ranking According to Compromise Solution Method for Multi-Criteria Decision Making in the Grinding Process”. EUREKA: Physics and Engineering, Vol. 2, (2022), pp. 101-110. DOI:

[2]. Maity, S.R. and S. Chakraborty, “Grinding wheel abrasive material selection using fuzzy TOPSIS method. Materials and Manufacturing Processes”, Vol. 4, pp. 408-417, (2013). DOI:

[3]. Nguyen, H.-Q., et al., “A Comparative Study on Multi-Criteria Decision-Making in Dressing Process for Internal Grinding”. Machines, MDPI, Vol. 5, pp. 303, (2022). DOI:

[4]. Patil, S.S. and Y.J. Bhalerao, “Selection of levels of dressing process parameters by using TOPSIS technique for surface roughness of en-31 work piece in CNC cylindrical grinding machine”. in IOP Conference Series: Materials Science and Engineering, (2017). DOI:

[5]. Nguyen, N.-T., D.D. Trung, “Combination of Taguchi method, Moora and Copras techniques in multi-objective optimization of surface grinding process”, Journal of Applied Engineering Science, Vol. 2, pp. 390-398, (2021). DOI:

[6]. Hwang, C.-L., Y.-J. Lai, and T.-Y. Liu, “A new approach for multiple objective decision making”, Computers & operations research, Elsevier, Vol. 8, pp. 889-899, (1993). DOI:

[7]. Hieu, T.T et al., “Application of MOORA and COPRAS Models to Select Materials for Mushroom Cultivation”, Vietnam Journal of Agricultural Sciences, Vol. 4, pp. 32-2331, (2019).

[8]. Vu, N.-P., et al., “Optimization of grinding parameters for minimum grinding time when grinding tablet punches by CBN wheel on CNC milling machine”, Applied sciences, MDPI, Vol. 5, pp. 957, (2019). DOI:




How to Cite

Bui Thanh Danh, Vu Van Khoa, Nguyen Hong Linh, Hoang Xuan Tu, Nguyen Van Tung, and Bui Thanh Hien. “Multi-Criteria Decision Making in CBN Grinding Tool Steel Using TOPSIS Method”. Journal of Military Science and Technology, vol. 87, no. 87, May 2023, pp. 94-99, doi:10.54939/1859-1043.j.mst.87.2023.94-99.



Research Articles