Paper Title :Prediction of Earing in Cylindrical Deep Drawing of Aluminum Alloys Using Finite Element Analysis

Author :Kenza Bouchaala, Elhachmi Essadiqi, Mohamed Mada, Mohamad Fathi Ghanameh, Mustapha Faqir, Mohamed Meziane

Article Citation :Kenza Bouchaala ,Elhachmi Essadiqi ,Mohamed Mada ,Mohamad Fathi Ghanameh ,Mustapha Faqir ,Mohamed Meziane , (2018 ) " Prediction of Earing in Cylindrical Deep Drawing of Aluminum Alloys Using Finite Element Analysis " , International Journal of Mechanical and Production Engineering (IJMPE) , pp. 63-69, Volume-6,Issue-10

Abstract : Deep drawing of sheet metal is one of the most important transformation’s process in which a sheet metal blank is drawn into a forming die via a punch force. The conventional deep drawing of sheet metal techniques, known for their wide usage in several industry sectors, are experimental and expensive processes. Numerical simulation using Finite Element Methods (FEM) offers the ability of analyzing the feasibility of a process, allowing the benefit of saving time and considerably reducing costs by comparison with traditional methods. This virtual simulation requires the realization of the tools and their adjustment according to the resulting data till seizing a satisfactory adequacy of results. In this study, a Hill48 anisotropic yield criterion was adopted to express the mechanical material properties using ABAQUS/EXPLICIT software. A finite element model is developed for the 3D numerical simulation of sheet metal deep drawing process. Two aluminum alloys AA1050 and AA1100, were studied with the focus on the influencing parameters involving both physical and material properties that affect the final predicted part. The developed model predicts the thickness and the formation of ears of the blank based on plastic Hill yield criteria. The earring prediction was simulated using extra deep drawing. Keywords- Deep Drawing, Finite Element Analysis, Anisotropy, Aluminum Alloys.

Type : Research paper

Published : Volume-6,Issue-10

	|		PDF	|	Viewed - 82	|	Published on 2018-12-22