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Multi response optimization of process parameters based on Taguchi—Fuzzy model for coal cutting by water jet technology

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Abstract

The process of material cutting and fracture by high velocity water jets is a complex series of phenomena which may involve compression, tension, shear, erosion, wears, cracking, wave propagation, and cavitations damage. This makes the exact analysis of the jet cutting process to be very complicated. The problem of water jet coal cutting is a multiresponse problem. There are two output variables, depth of cut and cutting width whose optimization will result in the increase in the productivity of coal cutting. In this paper, a Taguchi–Fuzzy decision method has been used to determine the effective process parameters for improving the productivity of coal mines. The Taguchi method of experimental design is a widely accepted technique used for producing high quality products at low cost. The optimization of multiple responses in complex processes is common; therefore, to reduce the degree of uncertainty during the decision making, fuzzy rule-based reasoning was integrated with the Taguchi loss function.

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Authors and Affiliations

  1. Department of Production Engineering, Birla Institute of Technology, Mesra, Ranchi, 835215, India

    Vinay Sharma

  2. Department of ME & MME, Indian School of Mines, Dhanbad, 835215, India

    Somnath Chattopadhyaya

  3. Department of Manufacturing Management, Faculty of Manufacturing Technologies, Technical University of Košice with a seat in Prešov, 080 01, Prešov, Slovakia

    Sergej Hloch

Authors
  1. Vinay Sharma
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  2. Somnath Chattopadhyaya
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  3. Sergej Hloch
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Correspondence to Sergej Hloch.

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Sharma, V., Chattopadhyaya, S. & Hloch, S. Multi response optimization of process parameters based on Taguchi—Fuzzy model for coal cutting by water jet technology. Int J Adv Manuf Technol 56, 1019–1025 (2011). https://doi.org/10.1007/s00170-011-3258-x

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  • DOI: https://doi.org/10.1007/s00170-011-3258-x

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