NDLI: Experimental investigation of springback in air bending process

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Experimental investigation of springback in air bending process

Content Provider	Scilit
Author	Alhammadi, Aysha Rafique, Hafsa Alkaabi, Meera Qudeiri, Jaber Abu
Copyright Year	2018
Description	Journal: Iop Conference Series: Materials Science and Engineering Bending processes is one of the important processes in sheet metal forming. One of the challenge that faces the air bending process is springback, which happens due to the elastic recovery during unloading stage. An accurate analysis of springback during the bending process is crucial to achieve a required bend angle. This paper will investigate the springback experimentally by changing many parameters such as tested material, die opening, thickness, etc. and finding its effect on the value of springback. Additionally, the paper will investigate the effect of loading time at the end of loading stage on the springback by proposing a multistage bending technique (MBT). In MBT, the loading will stop during loading stage just before the end of this stage and it will restart again shortly after. In this study, three sheet metals with different thickness will be examined, namely stainless steel, aluminium and brass. Artificial neural network (ANN) will be utilized to develop a prediction model to predict springback based on the experimental results.
Related Links	https://iopscience.iop.org/article/10.1088/1757-899X/323/1/012021/pdf http://iopscience.iop.org/article/10.1088/1757-899X/323/1/012021/pdf
ISSN	17578981
e-ISSN	1757899X
DOI	10.1088/1757-899x/323/1/012021
Journal	Iop Conference Series: Materials Science and Engineering
Issue Number	1
Volume Number	323
Language	English
Publisher	IOP Publishing
Publisher Date	2018-03-02
Access Restriction	Open
Subject Keyword	Journal: Iop Conference Series: Materials Science and Engineering Automotive Engineering Artificial Neural Network Bending Process Sheet Metal
Content Type	Text
Resource Type	Article

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