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Fuzzy logic for modeling machining process: a review

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Abstract

The application of artificial intelligence (AI) techniques in modeling of machining process has been investigated by many researchers. Fuzzy logic (FL) as a well-known AI technique is effectively used in modeling of machining processes such as to predict the surface roughness and to control the cutting force in various machining processes. This paper is started with the introduction to definition of FL and machining process, and their relation. This paper then presents five types of analysis conducted on FL techniques used in machining process. FL was considered for prediction, selection, monitoring, control and optimization of machining process. Literature showed that milling contributed the highest number of machining operation that was modeled using FL. In terms of machining performance, surface roughness was mostly studied with FL model. In terms of fuzzy components, center of gravity method was mostly used to perform defuzzification, and triangular was mostly considered to perform membership function. The reviews extend the analysis on the abilities, limitations and effectual modifications of FL in modeling based on the comments from previous works that conduct experiment using FL in the modeling and review by few authors. The analysis leads the author to conclude that FL is the most popular AI techniques used in modeling of machining process.

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Acknowledgments

The authors greatly acknowledge the Research Management Centre, UTM and Ministry of Higher Education (MoHE) for financial support through the Exploratory Research Grant Scheme (ERGS) Vot. No. J13000078284L003.

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Authors and Affiliations

  1. Soft Computing Research Group, Faculty of Computing, Universiti Teknologi Malaysia, 81310 , UTM Skudai, Johor, Malaysia

    M. R. H. Mohd Adnan, Arezoo Sarkheyli, Azlan Mohd Zain & Habibollah Haron

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  1. M. R. H. Mohd Adnan
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  2. Arezoo Sarkheyli
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  3. Azlan Mohd Zain
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  4. Habibollah Haron
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Correspondence to M. R. H. Mohd Adnan.

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Mohd Adnan, M.R.H., Sarkheyli, A., Mohd Zain, A. et al. Fuzzy logic for modeling machining process: a review. Artif Intell Rev 43, 345–379 (2015). https://doi.org/10.1007/s10462-012-9381-8

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