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Friction Coefficient Evaluation on Aluminum Alloy Sheet Metal Using Digital Image Correlation University of Maryland Baltimore County

SAE Technical Papers (1906-current) Available online

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Format:
Conference/Event
Author/Creator:
Duan, Duan, author.
Contributor:
Li, Junrui
Schaeffler, Danny
Wang, Hao
Yang, Lianxiang
Conference Name:
WCX World Congress Experience (2018-04-10 : Detroit, Michigan, United States)
Language:
English
Physical Description:
1 online resource
Place of Publication:
Warrendale, PA SAE International 2018
Summary:
The coefficient of friction between surfaces is an important criterion for predicting metal behavior during sheet metal stamping processes. This research introduces an innovative technique to find the coefficient of friction on a lubricated aluminum sheet metal surface by simulating the industrial manufacturing stamping process while using 3D digital image correlation (3D-DIC) to track the deformation. During testing, a 5000 series aluminum specimen is placed inside a Stretch-Bend-Draw Simulator (SBDS), which operates with a tensile machine to create a stretch and bend effect. The friction coefficient at the contact point between an alloy sheet metal and a punch tool is calculated using an empirical equation previously developed. In order to solve for the unknown friction coefficient, the load force and the drawback force are both required. The tensile machine software only provides the load force applied on the specimen by the load cell. Thus, the drawback force requires an indirect method of measurement. In this presentation, a method is proposed that uses DIC to measure tensile strain on a specimen's surface to acquire the drawback force. This requires first collecting preliminary data to determine a tensile strain and drawback force relationship. Once this force-strain relation is established, the tests to determine the friction coefficient can be performed and the friction coefficient is determined from the results of the final test data. The concept, set-up, procedure, and results of this research will be presented in detail
Notes:
Vendor supplied data
Publisher Number:
2018-01-1223
Access Restriction:
Restricted for use by site license

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