Article: Parametric optimisation of abrasive water jet machining of glass fibre reinforced plastic composite using non-dominated sorting genetic algorithm-II Journal: International Journal of Metaheuristics (IJMHEUR) 2017 Vol.6 No.4 pp.334 - 354 Abstract: Machining of glass fibre reinforced plastic (GFRP) possesses several challenges; it is completely different from metal machining. Abrasive water jet machining has proved to be an interesting manufacturing process to machine GFRP in environment friendly manner. In this paper, experimentation is conducted and mathematical model has been developed to establish the correlation between process variables: water jet pressure, traverse rate, abrasive mass flow rate and standoff distance with performance measures: surface roughness, kerf width and kerf taper angle using response surface methodology. A well-known multi-objective optimisation method, non-dominated sorting genetic algorithm-II, is applied to obtain the set of Pareto-optimal solutions, which can be used as a ready reference by the process engineers. Rarely if ever, multiple responses are considered but that too are attempted with priori approach considering finite solutions. Whereas in practice, the problem has to be dealt with infinite solutions with posteriori approach, which is attempted in the proposed method. Inderscience Publishers - linking academia, business and industry through research

Title: Parametric optimisation of abrasive water jet machining of glass fibre reinforced plastic composite using non-dominated sorting genetic algorithm-II

Authors: Anil Yashvant Mali; Padmakar Jagannath Pawar

Addresses: Department of Production Engineering, K.K. Wagh Institute of Engineering Education & Research, Plot No. 56 & 57, 'Matruchhaya', Muralidhar Nagar, Pathrdi Phata, Nashik, Maharashtra 422010, India ' Department of Production Engineering, K.K. Wagh Institute of Engineering Education & Research, Hirabai Haridas Vidyanagari, Amrut-Dham, Panchavati, Nashik, Maharashtra 422003, India

Abstract: Machining of glass fibre reinforced plastic (GFRP) possesses several challenges; it is completely different from metal machining. Abrasive water jet machining has proved to be an interesting manufacturing process to machine GFRP in environment friendly manner. In this paper, experimentation is conducted and mathematical model has been developed to establish the correlation between process variables: water jet pressure, traverse rate, abrasive mass flow rate and standoff distance with performance measures: surface roughness, kerf width and kerf taper angle using response surface methodology. A well-known multi-objective optimisation method, non-dominated sorting genetic algorithm-II, is applied to obtain the set of Pareto-optimal solutions, which can be used as a ready reference by the process engineers. Rarely if ever, multiple responses are considered but that too are attempted with priori approach considering finite solutions. Whereas in practice, the problem has to be dealt with infinite solutions with posteriori approach, which is attempted in the proposed method.

Keywords: AWJM; abrasive water jet machining; GFRP; glass fibre reinforced plastic; NSGA-II.

DOI: 10.1504/IJMHEUR.2017.086982

International Journal of Metaheuristics, 2017 Vol.6 No.4, pp.334 - 354

Received: 18 Oct 2016
Accepted: 27 Mar 2017
Published online: 03 Oct 2017 *

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Title: Parametric optimisation of abrasive water jet machining of glass fibre reinforced plastic composite using non-dominated sorting genetic algorithm-II

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