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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 423Performance Evaluation of Multiple Regression...

Performance Evaluation of Multiple Regression Method for Identification Models: Application to the Sheet Metal Forming Formability

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Abstract:

The studies on the development and profitability of forming processes of thin structures, plastic deformation, continue to grow. Their goals are the prediction and assessment of default risks incurred by parts manufacturing phase. The quality of numerical predictions depends on the accuracy and reliability of the models selected. This justifies the development of different techniques for the identification of skills forming sheets and tubes. This study fits within this frame work, a method of identifying the coefficients characterizing the elastoplastic damage behavior of sheet metal based on the analysis of variance (ANOVA) was developed. Performance evaluation of the ANOVA analysis has been conducted through a confrontation of results with those identified by the inverse method.

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Periodical:

Advanced Materials Research (Volume 423)

Pages:

177-186

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.423.177

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Online since:

December 2011

Authors:

Mohamed Toumi Nasri, Slimani Faouzi, A. Ayadi, Abel Cherouat, Mohamed Ali Rezgui, Ali Zghal

Keywords:

ANOVA, Damage, Hardening, Hydroforming, Identification, Multiple Regressions

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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