Constitutive modeling and deformation analysis for the ultrasonic-assisted incremental forming process

Research output: Contribution to journalArticleResearchpeer review

Authors

  • Yanle Li
  • Zinan Cheng
  • Xiaoxiao Chen
  • Yangyang Long
  • Xiaoqiang Li
  • Fangyi Li
  • Jianfeng Li
  • Jens Twiefel

External Research Organisations

  • Shandong University
  • Beihang University
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Details

Original languageEnglish
Pages (from-to)2287-2299
Number of pages13
JournalInternational Journal of Advanced Manufacturing Technology
Volume104
Issue number5-8
Early online date2 Jul 2019
Publication statusPublished - Oct 2019

Abstract

The application of high-frequency vibration on the incremental forming process could cause changes in the plasticity of material which may contribute to the reduction of forming force, the increase of formability, and the improvement of surface finish. The present work aims to deepen the understanding of the softening effect to facilitate the accurate prediction of the ultrasonic-assisted forming process. First, a theoretical model describing the relationship between the stress and strain during the ultrasonic-assisted incremental sheet forming (UISF) was established based on the theory of crystal plasticity. In particular, the acoustic softening effect was reflected by adjusting the thermal activation process and the dislocation density evolution process. Then, the constitutive model parameters were identified through the back propagation (BP) neural network based on the experimental results. In addition, the developed model was used to simulate the UISF process by ANSYS/LS-DYNA software, and the effect of ultrasonic vibration on the deformation behavior was revealed. The results show that the FE model with the modified constitutive model considering the softening effect can improve the prediction accuracy.

Keywords

    Acoustic softening, Constitutive model, Finite element simulation, Incremental sheet forming, Ultrasonic-assisted forming

ASJC Scopus subject areas

Cite this

Constitutive modeling and deformation analysis for the ultrasonic-assisted incremental forming process. / Li, Yanle; Cheng, Zinan; Chen, Xiaoxiao et al.
In: International Journal of Advanced Manufacturing Technology, Vol. 104, No. 5-8, 10.2019, p. 2287-2299.

Research output: Contribution to journalArticleResearchpeer review

Li Y, Cheng Z, Chen X, Long Y, Li X, Li F et al. Constitutive modeling and deformation analysis for the ultrasonic-assisted incremental forming process. International Journal of Advanced Manufacturing Technology. 2019 Oct;104(5-8):2287-2299. Epub 2019 Jul 2. doi: 10.1007/s00170-019-04031-3
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abstract = "The application of high-frequency vibration on the incremental forming process could cause changes in the plasticity of material which may contribute to the reduction of forming force, the increase of formability, and the improvement of surface finish. The present work aims to deepen the understanding of the softening effect to facilitate the accurate prediction of the ultrasonic-assisted forming process. First, a theoretical model describing the relationship between the stress and strain during the ultrasonic-assisted incremental sheet forming (UISF) was established based on the theory of crystal plasticity. In particular, the acoustic softening effect was reflected by adjusting the thermal activation process and the dislocation density evolution process. Then, the constitutive model parameters were identified through the back propagation (BP) neural network based on the experimental results. In addition, the developed model was used to simulate the UISF process by ANSYS/LS-DYNA software, and the effect of ultrasonic vibration on the deformation behavior was revealed. The results show that the FE model with the modified constitutive model considering the softening effect can improve the prediction accuracy.",
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note = "Funding Information: This work is financially supported by National Natural Science Foundation of China (51605258), Postdoctoral Innovation Project of Shandong Province (201701011), Young Scholars Program of Shandong University (2018WLJH55), and State Key Laboratory of High Performance Complex Manufacturing, Central South University (Kfkt2017-04). ",
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AU - Cheng, Zinan

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AU - Li, Fangyi

AU - Li, Jianfeng

AU - Twiefel, Jens

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