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Optimization of Fracture in Deep Drawing Process Using Bat-Inspired Algorithm

Published in
2015
   
Issue: 2
Pages: 5440 - 5444
Abstract

Deep drawing is a manufacturing process in which sheet metal is progressively formed into a three-dimensional shape through the mechanical action of a die forming the metal around a punch. The deep drawing process contains many components and steps. Pots and pans for cooking, containers, sinks, automobile parts, such as panels and gas tanks, are among a few of the items manufactured by sheet metal deep drawing. The Predominant failure modes in sheet metal parts (deep drawing process) are fracture. The prediction and prevention of fracture are extremely important in the design of tooling and process parameters in deep drawing process. Fracture or necking occurs in a drawn part which is under excessive tensile stresses. Fractures are the important defects in deep drawing operation, which can be prevented using blank holding force. Fracture limit depends on various tooling, process and material parameters. Bat algorithm (BA) is a new nature-inspired metaheuristic optimization algorithm for solving engineering optimization tasks. The Bat Algorithm, based on the echolocation behavior of bats .This paper describes the optimization of fracture in deep drawing process by using Bat Inspired algorithm.

About the journal
JournalInternational Engineering Research Journal (IERJ)
Open AccessYes