A Type 2 Fuzzy Logic Model to Predict the Force During the Turning Process

Abstract

This study introduces a compensatory fuzzy logic system for modelling turning processes by combining the Gaussian mixture model (GMM) with an intervals-based type 2 fuzzy logical system. To simulate the turning process, an IT2FLS is first evoked. The input variables of this model are mapped to the force of cutting and surface quality. The second step is to fix the error residuals by using the GMM within the IT2FLS framework. Most models are built on the premise that the error is normally distributed, which is where the concept for such an inclusion comes from. During its development, the GMM takes stochastic, un-delayed behaviours into account while also refining the derived rules The compensating fuzzy logic system can effectively manage uncertainties, predict the force of cutting and surface quality, and provide users with a comprehensive understanding of the turning processes, according to experimental validation.