Optimizing the Boring Parameters on CNC Machine using IS 2062 E250 Steel Plates: Taguchi-Pareto-Box Behnken Design and Taguchi-ABC-Box Behnken Design Perspectives

doi: 10.14456/mijet.2022.28


  • Yakubu Umar Abdullahi University of Lagos, Lagos, Nigeria
  • Sunday Ayoola Oke University of Lagos, Lagos, Nigeria


Box Behnken design, optimisation, signal-to-noise ratios, boring operation, surface roughness


Due to outstanding properties such as enhanced surface roughness, fatigue strength, hardness and specific heat, the IS 2062 E250 plate has retained its competitive choice as a boring material in the automobile and aerospace industries. Unfortunately, sparse literature exists to distinguish the several boring process parameters with potential varying importance. Consequently, two novel methods are presented based on the Taguchi-Pareto-Box Behnken design (TP-BBD) and Taguchi-ABC-Box Behnken design (TABC-BBD) methods to optimize and select the process parameters. The signal to noise (SN) ratios for experimental trials was rearranged in descending order and cumulative SN ratios were computed to allow the application of the Pareto principle and the ABC methods. These outputs are fed into the Box Behnken design approach with analysis of variance conducted to reveal the linearity and significance of the parameters. Based on the process parameters considered, the response optimisation of the SN ratios for the TP-BBD method shows that the optimal setting for speed, feed, depth of cut and nose radius are 1090.91 rpm, 0.06 mm/rev, 1.2 mm, 0.606061 mm. However, for the TABC-BBD method, the response optimisation results are 800 rpm, 0.06 mm/rev, 1 mm and 0.606061 mm for speed, feed, depth of cut and nose radius, respectively. For both methods, the contour and surface plots of the SN ratios from the analysis show the range at which various parameters in the boring operation would be significant for the model.


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Author Biographies

Yakubu Umar Abdullahi, University of Lagos, Lagos, Nigeria

Department of Mechanical Engineering, University of Lagos, Lagos, Nigeria

Sunday Ayoola Oke, University of Lagos, Lagos, Nigeria

Department of Mechanical Engineering, University of Lagos, Lagos, Nigeria


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