Unpublished conference/Abstract (Scientific congresses and symposiums)
Comparison of fracture prediction models on sheet metal blanking simulations
Canales Cardenas, Cristian; Boman, Romain; Bussetta et al.
20154th International Conference on Computational Modeling of Fracture and Failure - CFRAC 2015
 

Files


Full Text
canales_et_al_CFRAC2015.pdf
Publisher postprint (49.43 kB)
Request a copy

All documents in ORBi are protected by a user license.

Send to



Details



Keywords :
Blanking; Ductile Fracture; Finite Element method
Disciplines :
Mechanical engineering
Author, co-author :
Canales Cardenas, Cristian ;  Université de Liège > Département d'aérospatiale et mécanique > LTAS-Mécanique numérique non linéaire
Boman, Romain  ;  Université de Liège > Département d'aérospatiale et mécanique > Département d'aérospatiale et mécanique
Bussetta
Habraken, Anne  ;  Université de Liège > Département ArGEnCo > Département ArGEnCo
Ponthot, Jean-Philippe  ;  Université de Liège > Département d'aérospatiale et mécanique > LTAS-Mécanique numérique non linéaire
Language :
English
Title :
Comparison of fracture prediction models on sheet metal blanking simulations
Publication date :
July 2015
Event name :
4th International Conference on Computational Modeling of Fracture and Failure - CFRAC 2015
Event place :
Cachan, France
Event date :
3-5 June 2015
Audience :
International
Commentary :
Generally in metal forming processes, fracture is synonymous with deficient products, unexpected costs and potential catastrophes, and therefore hopefully prevented during the design stage of a product in order to ensure its integrity and durability. Nevertheless, for a few manufacturing techniques the fracture phenomenon is the driving step of the entire process. This is the case for the sheet metal blanking method where the quality of the final product is directly linked to the resulting shape of the sheared edge. Therefore, the numerical prediction of the failure initiation and further propagation plays an important role in order to ensure the optimal set of process parameters and to fulfill the required product features, especially in mass production.
Available on ORBi :
since 10 June 2015

Statistics


Number of views
113 (27 by ULiège)
Number of downloads
25 (15 by ULiège)

Bibliography


Similar publications



Contact ORBi