Spring-back prediction by combination of the finite element analysis and bent-beam theory considering bauschinger effect
Visualitza/Obre
Estadístiques de LA Referencia / Recolecta
Inclou dades d'ús des de 2022
Cita com:
hdl:2117/183539
Tipus de documentText en actes de congrés
Data publicació2011
EditorCIMNE
Condicions d'accésAccés obert
Tots els drets reservats. Aquesta obra està protegida pels drets de propietat intel·lectual i
industrial corresponents. Sense perjudici de les exempcions legals existents, queda prohibida la seva
reproducció, distribució, comunicació pública o transformació sense l'autorització del titular dels drets
Abstract
Plate bending is a common plastic working. High-precision bending would require the accurate prediction of spring-back, ich is affected by Bauschinger effect. In the present study, an analysis of spring-back prediction was conducted by a combination of the finite elemnt method (FEM) and bent-beam theory. The characteristic of this analysis is that the FEM is used to analyze bending behavior and the bent-beam theory is used to predict spring-back. This combination would reduce calculation time and skip the identification procedure of parameters ich is needed in conventional phenomenological approach. The proposed method predicted spring-back more accurately than conventional analysis without kinematic hardening. Furthermore the proposed numerical method was able to conduct analysis analysis as accurate as that the conventional FEM, wich is implemented with numerical description of kinematic hardening, ithin much shorter calculation time.
CitacióMatsumoto, T. [et al.]. Spring-back prediction by combination of the finite element analysis and bent-beam theory considering bauschinger effect. A: COMPLAS XI. "COMPLAS XI : proceedings of the XI International Conference on Computational Plasticity : fundamentals and applications". CIMNE, 2011, p. 126-134.
ISBN978-84-89925-73-1
Fitxers | Descripció | Mida | Format | Visualitza |
---|---|---|---|---|
COMPLAS-2011_11-Spring-back prediction.pdf | 483,1Kb | Visualitza/Obre |