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Shape Prediction of the Sheet in Continuous Roll Forming Based on the Analysis of Exit Velocity.
Gao, Jia-Xin; Chen, Qing-Min; Sun, Li-Rong; Cai, Zhong-Yi.
Afiliación
  • Gao JX; College of Materials Science and Engineering, Jilin University, Changchun 130025, China.
  • Chen QM; Roll Forging Research Institute, Jilin University, Changchun 130025, China.
  • Sun LR; Roll Forging Research Institute, Jilin University, Changchun 130025, China.
  • Cai ZY; College of Materials Science and Engineering, Jilin University, Changchun 130025, China.
Materials (Basel) ; 14(18)2021 Sep 09.
Article en En | MEDLINE | ID: mdl-34576400
ABSTRACT
Continuous roll forming (CRF) is a new technology that combines continuous forming and multi-point forming to produce three-dimensional (3D) curved surfaces. Compared with other methods, the equipment of CRF is very simple, including only a pair of bendable work rolls and the corresponding shape adjustment and support assembly. By controlling the bending shapes of the upper and lower rolls and the size of the roll gap during forming, double curvature surfaces with different shapes can be produced. In this paper, a simplified expression of the exit velocity of the sheet is provided, and the formulas for the calculation of the longitudinal curvature radius are further derived. The reason for the discrepancy between the actual and predicted values of the longitudinal radius is deeply discussed from the perspective of the distribution of the exit velocity. By using the response surface methodology, the effects of the maximum compression ratio, the sheet width, the sheet thickness, and the transverse curvature radius on the longitudinal curvature radius are analyzed. Meanwhile, the correction coefficients of the predicted formulas for the positive and negative Gaussian curvature surfaces are obtained as 1.138 and 0.905, respectively. The validity and practicability of the modified formulas are verified by numerical simulations and forming experiments.
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Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Materials (Basel) Año: 2021 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Materials (Basel) Año: 2021 Tipo del documento: Article