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The International Journal of Advanced Manufacturing Technology
Erschienen in: The International Journal of Advanced Manufacturing Technology 5-8/2019

26.04.2019 | ORIGINAL ARTICLE

An investigation of plastic behaviour in cold-rolled aluminium alloy AA2024-T3 using laser speckle imaging sensor

verfasst von: Yong Pang, Bernard K. Chen, Wencheng Liu

Erschienen in: The International Journal of Advanced Manufacturing Technology | Ausgabe 5-8/2019

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Abstract

The mechanical anisotropy of aluminium alloy AA2024-T3 with strong cold-rolled crystallographic texture is investigated in this paper. A non-contact and non-destructive laser speckle imaging sensor is developed for surface strain measurement so that extensive mechanical tests can be readily performed without surface preparation on the specimens. Both Hill’s 48 and Yld2004-18p yield functions are accurately calibrated using the experimental results from uniaxial tensile, pure shear and plane-strain tensile tests. The constitutive models based on these yield functions were successfully implemented in a commercial finite element (FE) package Abaqus via user material subroutine UMAT. Simulations of single element tensile tests and pure shear tests were carried out to validate the accuracy of UMAT subroutine. The performance of these constitutive models was further evaluated with deep drawing experiments in which the predicted earing profiles were compared with those obtained from FE simulations. The results showed that the constitutive model based on Yld2004-18p yield function accurate representing the anisotropic behaviour of AA2024-T3. The predicted earing profiles coincide well with experimental measurements.
Vorheriger Artikel Improved dynamic cutting force model with complex coefficients at orthogonal turning
Nächster Artikel Analysis of free and forced vibrations of ultrasonic vibrating tools, case study: ultrasonic assisted surface rolling process

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Metadaten
Titel
An investigation of plastic behaviour in cold-rolled aluminium alloy AA2024-T3 using laser speckle imaging sensor
verfasst von
Yong Pang
Bernard K. Chen
Wencheng Liu
Publikationsdatum
26.04.2019
Verlag
Springer London
Erschienen in
The International Journal of Advanced Manufacturing Technology / Ausgabe 5-8/2019
Print ISSN: 0268-3768
Elektronische ISSN: 1433-3015
DOI
https://doi.org/10.1007/s00170-019-03717-y

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