Title: Grey-relational analysis for fluid assisted blank holding system in deep drawing process for Al alloy 1050 by using a numerical simulation

Authors: N.K. Kamble; B.U. Sonawane; B.B. Ahuja; S.S. Sarnobat

Addresses: Department of Production Engineering, DY Patil College of Engineering, Akurdi Pune-44, Maharashtra, India ' Department of Production Engineering and Industrial Management, College of Engineering, Pune (COEP), Wellesley Road, Shivaji Nagar, Pune-411005, Maharashtra, India ' Department of Production Engineering and Industrial Management, College of Engineering, Pune (COEP), Wellesley Road, Shivaji Nagar, Pune-411005, Maharashtra, India ' Department of Production Engineering, DY Patil College of Engineering, Akurdi Pune-44, Maharashtra, India

Abstract: The objectives of this work is to develop a fluid assisted blank (FAB) holding system for deep drawing process and to study the effect of process parameters on thickness distribution, wrinkling and strain rate for Al 1050 through experiments. Deep drawing method have been investigated on Al alloy 1050 material, which is one of the lightest material for manufacturing parts. Limiting drawing ratio (LDR) has been improved compared to the conventional constant force mechanical blank holding system. Experiments were carried out by considering input parameters as punch force and blank holding force. The responses were measured using a modern photogrammetric measurement system named ARGUS. Multi-objective optimisation technique, grey relational analysis has been used to find out optimum process parameters for the present conditions. The experimental results reveal that the quality of the resultant cup has been enhanced in terms of thickness distribution, strain rate and surface finish. The effectiveness of the FAB process has also been verified through simulation tools such as LS-DYNA and FEA. These results were compared with the experimental results.

Keywords: fluid assisted blank; FAB; fluid assisted blank holding system; Al 1050 alloy; ARGUS method; grey relational analysis; FEA simulation LS-DYNA.

DOI: 10.1504/IJMTM.2021.114754

International Journal of Manufacturing Technology and Management, 2021 Vol.35 No.2, pp.109 - 126

Received: 16 Mar 2017
Accepted: 23 Jul 2017

Published online: 05 May 2021 *

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