On the fracture prediction of 304L stainless steel sheets utilizing different hardening models

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2016

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Iop Publishing Ltd

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Manufacturing Engineering
(2003)
Opened in 2003 with the aim to graduate experts in the field of machine-production, our Department is among the firsts in our country to offer education in English. The Manufacturing Engineering program focuses on the manufacturing technologies that shape materials from raw materials to final products by means of analytical, experimental and numerical modeling methods. First Manufacturing Engineering Program to be engineered by Müdek, our department aims to graduate creative and innovative Manufacturing Engineers that are knowledgeable in the current technology, and are able to use production resources in an effective and sustainable way that never disregards environmental facts. As the first Department to implement the Cooperative Education Program at Atılım University in coordination with institutions from the industry, the Manufacturing Engineering offers a practice-oriented approach in education with its laboratory infrastructure and research opportunities. The curriculum at our department is supported by current engineering software, and catered to creating engineers equipped to meet the needs of the production industry.

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Abstract

Fracture prediction is one of the challenging problems in sheet metals. Forming limit curves at fracture (FLCF), as a tool to determine fracture in sheet metal processes, are obtained through the use of numerical analyses. As one of the approaches, the ductile fracture criteria (DFCs) represent the fracture initiation of the sheets formed by different loading histories. In this study, the effects of three different hardening models on different DFCs to predict the fracture for stainless steel 304L have been investigated. The results show that most of DFCs work better in the region. epsilon(2)< 0 especially with the kinematic hardening model. However, for the region. epsilon(2)> 0 where the stretching conditions are dominant, none of them could precisely estimate the fracture initiation.

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Dizaji, Shahram A./0000-0001-7256-2991; Darendeliler, Haluk/0000-0002-7814-7294
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Dizaji, Shahram A. ORCID logo
Darendeliler, Haluk ORCID logo

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3

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10th International Conference and Workshop on Numerical Simulation of 3D Sheet Metal Forming Processes (NUMISHEET) -- SEP 04-09, 2016 -- Bristol, ENGLAND

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734

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https://doi.org/10.1088/1742-6596/734/3/032021
 https://hdl.handle.net/20.500.14411/557

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