Computer Aided Taguchi-Fuzzy Multi-Optimization of laser cutting process

Article type: Research Article

Authors: Chaudhary, Arvind Kumar | Pandey, Arun Kumar | Dubey, Avanish Kumar

Affiliations: Department of Mechanical Engineering, Motilal Nehru National Institute of Technology Allahabad, Uttar Pradesh, India

Note: [] Corresponding author. Arun Kumar Pandey, Department of Mechanical Engineering, Motilal Nehru National Institute of Technology Allahabad – 211004, Uttar Pradesh, India. Tel.: +91 532 2271535; Fax: +91 532 2545341; E-mail: arunpandey76@gmail.com

Abstract: Today's fast growing sheet metal industries are demanding overall improvement in cut quality rather than improving different quality characteristics individually. The laser cutting has proven to be the quality cutting process for almost any category of materials with few limitations. The multiple quality characteristics may be improved by controlling the process variables at optimum level. The paper presents a methodology for the simultaneous optimization of multiple quality characteristics in laser cutting process by developing the software ‘CATFMO’ (Computer Aided Taguchi-Fuzzy Multi-Optimization). The software results have been validated by comparing the published experimental data and found suitable. This methodology has been applied for simultaneous optimization of kerf width, cut edge surface roughness and heat affected zone in laser cutting of difficult-to-laser-cut Aluminium alloy sheet.

Keywords: Taguchi methodology, fuzzy logic, hybrid approach, multi-objective optimization, laser cutting process

DOI: 10.3233/IFS-130770

Journal: Journal of Intelligent & Fuzzy Systems, vol. 26, no. 2, pp. 801-810, 2014