International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences
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Design and Optimization of Process Parameter Causing Crack Defect in Draw Component of Sheet Metal Forming By Using FEA

Authors: Dnyaneshwar Bagde, Dr K H Munde, Prof Ashish Pawar

DOI: https://doi.org/10.17605/OSF.IO/6NX5A

Short DOI: https://doi.org/ggrs87

Country: India

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Abstract: Now a day manufacturing of uniform thick component is done with the help of forming methodology, forming methodology involves many challenges like-punch diameter, die radius, clearance, lubricant, BHF and its trajectories etc. So designing the die tool for component needs a lot of prototype and its test procedure. To reduce number of prototype test steps, the process can be done by using finite element packages. Even the CAE gives an approximation towards the solution. The dissertation work is relevant in the context of developing a cost effective component with a lower development time through the phase of Design, Development, Trials and Testing, lot production & Regular supply. In this dissertation work, the significance of three important deep drawing process parameters namely blank Holding force, die arc radius and punch nose radius on the deep drawing characteristics was determined. Because of thickness variation in the formed component may cause thinning and may lead to acceleration of crack in the component. The CAE method is a powerful tool to predict undesirable deformations in component before prototypes are made. In this dissertation work, the combination of FEM and Taguchi design of experiments and has been used to analyze the influencing Design parameters on Thinning in automotive deep draw component.

Keywords: Material damage, sheet metal forming, CGA (Circle Grid Analysis), r/t ratio


Paper Id: 198

Published On: 2017-12-25

Published In: Volume 5, Issue 6, November-December 2017

Cite This: Design and Optimization of Process Parameter Causing Crack Defect in Draw Component of Sheet Metal Forming By Using FEA - Dnyaneshwar Bagde, Dr K H Munde, Prof Ashish Pawar - IJIRMPS Volume 5, Issue 6, November-December 2017. DOI 10.17605/OSF.IO/6NX5A

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