title: Knowledge Based Cloud FE Simulation of Sheet Metal Forming Processes.
abstract: The use of Finite Element (FE) simulation software to adequately predict the outcome of sheet metal forming processes is crucial to enhancing the efficiency and lowering the development time of such processes, whilst reducing costs involved in trial-and-error prototyping. Recent focus on the substitution of steel components with aluminum alloy alternatives in the automotive and aerospace sectors has increased the need to simulate the forming behavior of such alloys for ever more complex component geometries. However these alloys, and in particular their high strength variants, exhibit limited formability at room temperature, and high temperature manufacturing technologies have been developed to form them. Consequently, advanced constitutive models are required to reflect the associated temperature and strain rate effects. Simulating such behavior is computationally very expensive using conventional FE simulation techniques. This paper presents a novel Knowledge Based Cloud FE (KBC-FE) simulation technique that combines advanced material and friction models with conventional FE simulations in an efficient manner thus enhancing the capability of commercial simulation software packages. The application of these methods is demonstrated through two example case studies, namely: the prediction of a material's forming limit under hot stamping conditions, and the tool life prediction under multi-cycle loading conditions.
authors.affiliation: Department of Mechanical Engineering, Imperial College London.
authors.forename: Du
authors.initials: D
authors.lastname: Zhou
authors.affiliation: Department of Mechanical Engineering, Imperial College London.
authors.forename: Xi
authors.initials: X
authors.lastname: Yuan
authors.affiliation: Department of Mechanical Engineering, Imperial College London.
authors.forename: Haoxiang
authors.initials: H
authors.lastname: Gao
authors.affiliation: Department of Mechanical Engineering, Imperial College London.
authors.forename: Ailing
authors.initials: A
authors.lastname: Wang
authors.affiliation: Department of Mechanical Engineering, Imperial College London.
authors.forename: Jun
authors.initials: J
authors.lastname: Liu
authors.affiliation: Department of Mechanical Engineering, Imperial College London.
authors.forename: Omer
authors.initials: O
authors.lastname: El Fakir
authors.affiliation: Department of Mechanical Engineering, Imperial College London.
authors.forename: Denis J
authors.initials: DJ
authors.lastname: Politis
authors.affiliation: Department of Mechanical Engineering, Imperial College London; liliang.wang@imperial.ac.uk.
authors.forename: Liliang
authors.initials: L
authors.lastname: Wang
authors.affiliation: Department of Mechanical Engineering, Imperial College London.
authors.forename: Jianguo
authors.initials: J
authors.lastname: Lin
mesh_terms: D000497:Alloys / Q000737:chemistry*; D000535:Aluminum; D003198:Computer Simulation; D020342:Finite Element Analysis; D006358:Hot Temperature; D008962:Models, Theoretical; D013696:Temperature
chemical_list: D000497:Alloys; D000535:Aluminum