Framework for controlled cost and quality of assumptions in finite element analysis

Bellenger, Emmanuel; Benhafid, Yassine; Troussier, Nadège

doi:10.1016/j.finel.2008.07.002

Cited by 7 publications

(3 citation statements)

References 29 publications

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“…Moreover, the development and implementation of multiple subroutines, each covering different forming phenomena, requires excessive multi-disciplinary knowledge and is time-consuming. Subroutines are also typically run in series, and computing a series of these models in FE simulations would therefore be computationally very expensive, particularly with the increasing numbers of simulations being conducted due to the complexity of geometries being studied [26]. Alternatively, the utility of such advanced functions could be enhanced by developing them into FE software agnostic functional modules and subsequently running them simultaneously on a cloud-based platform.…”

Section: Introductionmentioning

confidence: 99%

Multi-objective finite element simulations of a sheet metal-forming process via a cloud-based platform

Wang

Fakir

Liu

et al. 2018

Int J Adv Manuf Technol

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The emergence of cloud-based technologies has been transforming manufacturing industries over the last decade; however, their application in process modelling and finite element simulations is still limited. With the development of new hot stamping technologies, comprehensive knowledge of forming process phenomena is essential for their implementation, yet this knowledge is not readily accessible. In this paper, the development of a novel technique known as Knowledge Based Cloud-Finite Element (KBC-FE) simulation is described. KBC-FE is a research-oriented sheet metal-forming simulation technique that operates on an online platform. It was developed to facilitate the computation of advanced predictive models and to provide advanced functionalities to research institutions as well as industry. By making the relevant knowledge accessible, the technique enables multiobjective simulations, comprised of individual advanced functional modules each with their own speciality in the field of hot stamping of sheet metals, for rigorous analyses of different processes and for process optimisation. The capability of multiobjective FE simulations is demonstrated through the case study of a hot-formed U-shaped component, where multiple aspects of a part formed at elevated temperatures were examined. The advanced functional modules 'Formability', 'Tool Maker', and 'Tailor' were used to predict formability, die quenching efficiency, and post-form strength respectively.

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Section: Introductionmentioning

confidence: 99%

Multi-objective finite element simulations of a sheet metal-forming process via a cloud-based platform

Wang

Fakir

Liu

et al. 2018

Int J Adv Manuf Technol

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“…Some effective coupling analysis methods have been proposed during the past years, such as structure sharing in a product to enhance the resource effectiveness (Amaresh et al 2007), a systematic approach for minimising the time required through the selection of the physical model and an adapted mesh (Bellenger et al 2008), an integration of multi-domain dynamic simulation based on virtual prototyping for the design and analysis process (Bing et al 2007), the random factor method (RFM) for the natural frequency, mode shape and random vibration analysis of stochastic truss structures (Wei et al 2009) and so on. These coupling analysis methods can collaboratively carry out the integrated design, analysis and simulation for product development, which comprehensively applies the software tools of computer-aided design and analysis, including CAD and CAE, to improve the analysis efficiency and level (Anhu et al 2009).…”

Section: Introductionmentioning

confidence: 99%

Coupling analysis method for a large-scale structure exposed to synchronous hoisting loads

Bian

Jin

et al. 2009

Virtual and Physical Prototyping

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Large-scale synchronous hoisting equipment is widely used in the construction field. A coupling analysis method for global and local structures exposed to synchronous hoisting loads under working conditions is presented. An integrated analysis flow based on virtual prototyping is provided for the coupling analysis process with different design and simulation software tools, which includes project design, CAD and CAE model-building and interchange, data coupling and analysis. The theoretical basis of finite element analysis for synchronous hoisting loads is deduced. A practical case of the coupling analysis for a large-scale structure exposed to synchronous hoisting loads is studied and validated. The coupling analysis method can well improve the analysis level and efficiency to predict the mechanical effects in an operating situation.

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“…Additionally, they refer to configurations where the shapes of components are identical in the design and simulation contexts. To help analysts, Bellenger [10], Troussier [11] and Peak [12] formalized simulation objectives and hypotheses applied to a design model when setting up simulations to capitalize and reuse them in future model preparations. This approach underlines the influence of simulation objectives and hypotheses without setting up formal connections with the shape transformations required.…”

Section: Tasks Versus Data Integrationmentioning

confidence: 99%

An Analysis of the Transformation Requirements for Digital Mock-Ups of Structural Assembly Simulations

Boussuge¹,

Léon²,

Hahmann³

et al.

Proceedings of the Eighth International Conference on Engineering Computational Technology

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In order to set up a framework dedicated to the transformation of digital mock-ups (DMUs) into simulation models, this paper exposes the problem of simulation assembly model preparation. It analyses the differences between standalone component and assembly preparations to justify the reasons for the time consuming tasks specific to assemblies. To this end, the content of a DMU is analysed to explain why information about interfaces between components is missing in DMUs and how to derive the shape idealization of industrial assembly models, resulting in categories of DMU transformations. There, repetitive configurations emerge as a key issue to process large assembly models and the use of functional data appears to be critical to automate assembly transformations. Then, starting from the concepts of simulation objectives, user-specified hypotheses and connections between them, shape transformation categories are analysed to extract dependencies. As a result of these dependencies, a model preparation methodology is derived that address the shape transformation categories specific to assemblies. This methodology is already a means to improve the efficiency of an assembly simulation preparation process.

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Framework for controlled cost and quality of assumptions in finite element analysis

Cited by 7 publications

References 29 publications

Multi-objective finite element simulations of a sheet metal-forming process via a cloud-based platform

Multi-objective finite element simulations of a sheet metal-forming process via a cloud-based platform

Coupling analysis method for a large-scale structure exposed to synchronous hoisting loads

An Analysis of the Transformation Requirements for Digital Mock-Ups of Structural Assembly Simulations

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