Int. J. of Innovative Computing and Applications   »   2016 Vol.7, No.3



Title: An approach to select the optimal process parameters of laser transmission welding using firefly algorithm


Authors: Bappa Acherjee; Debanjan Maity; Arunanshu S. Kuar


Production Engineering Department, Birla Institute of Technology: Mesra, Deoghar Campus, Deoghar – 814142, India
Production Engineering Department, Jadavpur University, Kolkata – 700032, India
Production Engineering Department, Jadavpur University, Kolkata – 700032, India


Abstract: In the present work, laser transmission welding process is investigated and optimised using firefly algorithm, a population-based metaheuristic and bio-inspired algorithm. Laser power, welding speed, stand-off distance and clamp pressure are the laser transmission welding process parameters which control the output qualities like lap-shear strength and weld-seam width of the welded part. To select the optimal setting of process parameters, single-objective and multi-objective optimisations are performed using firefly algorithm, in which the objective functions are developed using response surface method. Results obtained by using firefly algorithm are found to be superior to those obtained using conventional optimisation technique. Firefly algorithm also found to be superior to particle swarm optimisation algorithm, differential evolutionary algorithm, and shuffled frog leaping algorithm in terms of convergence rate. It is found that firefly algorithm is an excellent optimisation tool with respect to fast convergence and locating global optima. It is also very efficient in predicting trends of multi-dependent responses.


Keywords: laser transmission welding; LTW; firefly algorithm; metaheuristics; response surface methodology; RSM; optimisation; process parameters; laser power; welding speed; stand-off distance; clamp pressure; lap shear strength; weld seam width; convergence rate; particle swarm optimisation; PSO; differential evolution; shuffled frog leaping.


DOI: 10.1504/IJICA.2016.078731


Int. J. of Innovative Computing and Applications, 2016 Vol.7, No.3, pp.163 - 178


Submission date: 29 Sep 2015
Date of acceptance: 30 Mar 2016
Available online: 18 Aug 2016



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