OPTIMIZATION OF DRY TURNING PROCESS PARAMETERS USING TAGUCHI METHOD COMBINED WITH FUZZY LOGIC APPROACH

In this paper, Taguchi method combined with fuzzy logic approach was used in order to define dry turning process parameters values that lead to minimal surface roughness. The surface roughness presents one of the most important criterions relating to proper choice of machining parameters during machining. Parameters that were being optimized here are cutting speed (vc), depth of cut (ap), feed rate (f) as well as workpiece steel material: St 50-2, C45 and 42CrMo4. The experiments were conducted using Taguchi’s design of experiments. Orthogonal array L9 (34) was selected for the four input parameters varied on the three levels. In this study it was found out that Taguchi method and fuzzy logic approach can be successfully employed to determine the optimal turning parameters values and to describe an influence of these parameters on the surface roughness response. Moreover, developed fuzzy logic model can be used for development of expert system that would enable better machining process control.

Abstract licence: CC BY-NC

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