Title: Optimisation of percent dilution and HAZ width of submerged arc weldment using Taguchi philosophy coupled with fuzzy inference system

Authors: Saurav Datta; Ranjeet Kumar Sahu; Siba Sankar Mahapatra; Ajay Biswas; Gautam Majumdar

Addresses: Department of Mechanical Engineering, National Institute of Technology, NIT Rourkela 769008, Orissa, India ' Department of Mechanical Engineering, National Institute of Technology, NIT Rourkela 769008, Orissa, India ' Department of Mechanical Engineering, National Institute of Technology, NIT Rourkela 769008, Orissa, India ' Department of Mechanical Engineering, National Institute of Technology, NIT Agartala 799055, Barjala, Tripura, India ' Department of Mechanical Engineering, Jadavpur University, Raja S.C. Mallik Road, Kolkata 700032, India

Abstract: In any manufacturing system, multi-objective optimisation problem is usually encountered because it is desired to improve multiple criteria of the process/product simultaneously. However, it is really difficult to solve such problems due to the complex process behaviour. The control parameters (process factors) interact in a complicated manner thereby influencing various process outputs. Direct (main effect) as well as interactive effect of process parameters are to be examined carefully to select the most favourable process environment to achieve desired level of quality output. Taguchi optimisation method is very popular in production engineering field; however, the method fails to solve multi-objective optimisation problems. Therefore, to solve a multi-objective optimisation problem, it is customary to convert multiple objectives into a single performance index (single objective function) which can be optimised finally by Taguchi method. In this work, a fuzzy logic approach has been adopted here to optimise the process environment and to produce quality product. By this approach, the imprecision and uncertainty in experimentation as well as data analysis can be handled conveniently. The study highlights a case study of optimising process parameters to satisfy contradicting requirements of multiple bead geometry parameters of submerged arc weld.

Keywords: Taguchi methods; fuzzy logic; dilution; heat affected zone; HAZ width; multi-objective optimisation; percent dilution; submerged arc welding; SAW; fuzzy inference systems; multiple bead geometry parameters; quality control; process automation.

DOI: 10.1504/IJPQM.2014.062221

International Journal of Productivity and Quality Management, 2014 Vol.13 No.4, pp.430 - 449

Available online: 02 Jun 2014 *

Full-text access for editors Access for subscribers Purchase this article Comment on this article