CAD/CAE integration: updating the CAD model after a FEM analysis

Louhichi, Borhen; Abenhaim, Gad N.; Tahan, Antoine

doi:10.1007/s00170-014-6248-y

Cited by 35 publications

(23 citation statements)

References 10 publications

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“…This procedure offers a flexible way and extreme accurate results when the object contains complicated shapes, concavities, and singularities. Another reconstruction method based on the B-spline approximation is proposed in [18]. The reconstruction basis is the deformed mesh which is computed from the numerical simulation.…”

Section: Geometric Model Generation Technologiesmentioning

confidence: 99%

Finite Element Analysis based on A Parametric Model by Approximating Point Clouds

Neumann

2020

Remote Sensing

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Simplified models are widely applied in finite element computations regarding mechanical and structural problems. However, the simplified model sometimes causes many deviations in the finite element analysis (FEA) of structures, especially in the non-designed structures which have undergone unknowable deformation features. Hence, a novel FEA methodology based on the parametric model by approximating three-dimensional (3D) feature data is proposed to solve this problem in the present manuscript. Many significant and effective technologies have been developed to detect 3D feature information accurately, e.g., terrestrial laser scanning (TLS), digital photogrammetry, and radar technology. In this manuscript, the parametric FEA model combines 3D point clouds from TLS and the parametric surface approximation method to generate 3D surfaces and models accurately. TLS is a popular measurement method for reliable 3D point clouds acquisition and monitoring deformations of structures with high accuracy and precision. The B-spline method is applied to approximate the measured point clouds data automatically and generate a parametric description of the structure accurately. The final target is to reduce the effects of the model description and deviations of the FEA. Both static and dynamic computations regarding a composite structure are carried out by comparing the parametric and general simplified models. The comparison of the deformation and equivalent stress of future behaviors are reflected by different models. Results indicate that the parametric model based on the TLS data is superior in the finite element computation. Therefore, it is of great significance to apply the parametric model in the FEA to compute and predict the future behavior of the structures with unknowable deformations in engineering accurately.

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Section: Geometric Model Generation Technologiesmentioning

confidence: 99%

Finite Element Analysis based on A Parametric Model by Approximating Point Clouds

Neumann

2020

Remote Sensing

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“…In general, the product development starts with the idea and first design sketches. Under consideration of several restrictions concerning process and design space, usually computational-aided design (CAD) tools (potentially in combination with topology optimization) are used for the first product design [67].…”

Section: Product Levelmentioning

confidence: 99%

Integrated computational product and production engineering for multi-material lightweight structures

Hürkamp

Dér

Gellrich

et al. 2020

Int J Adv Manuf Technol

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Within product development processes, computational models are used with increasing frequency. However, the use of those methods is often restricted to the area of focus, where product design, manufacturing process, and process chain simulations are regarded independently. In the use case of multi-material lightweight structures, the desired products have to meet several requirements regarding structural performance, weight, costs, and environment. Hence, manufacturing-related effects on the product as well as on costs and environment have to be considered in very early phases of the product development process in order to provide a computational concept that supports concurrent engineering. In this contribution, we present an integrated computational concept that includes product engineering and production engineering. In a multi-scale framework, it combines detailed finite element analyses of products and their related production process with process chain and factory simulations. Including surrogate models based on machine learning, a fast evaluation of production impacts and requirements can be realized. The proposed integrated computational product and production engineering concept is demonstrated in a use case study on the manufacturing of a multi-material structure. Within this study, a sheet metal forming process in combination with an injection molding process of short fiber reinforced plastics is investigated. Different sets of process parameters are evaluated virtually in terms of resulting structural properties, cycle times, and environmental impacts.

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“…41–43 Broadly speaking, this is also an analysis-oriented parameter extraction, but this analysis parameter is a geometric element. In addition, Louhichi 44 extracted data from the FEA models to reconstruct the CAD models aiming at constructing optimization closed loops, which provided inspiration to our research.…”

Section: Literature Reviewmentioning

confidence: 99%

An analysis-oriented parameter extraction method for features on freeform surface

Tao

et al. 2019

Proceedings of the Institution of Mechanical Engineers, Part C:

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The features on freeform surface are common in products with complex curved surfaces, such as gas film holes attached on turbine blade surface or pressing head on the multi-spots bending press. The freeform surfaces generally have tiny geometric structure, the large number and regular arrangement, which makes it hard to extract analysis parameters from CAD structures and construct equivalent analysis features. Therefore, the analysis models generation will be accelerated if parameters for analysis could be extracted automatically rather than manually. In this paper, the analysis-oriented parameter extraction problem is proposed and analyzed. The geometry pattern parameter and physical attribute parameter are summarized and defined as the research kernel based on common analysis scenarios. Based on Hough transform and k-means clustering method, a geometry pattern parameter extraction method is proposed, which can convert analytic criterion of extraction requirements into clear pattern recognition problems. A physical attribute parameter extraction method based on rule reasoning is also put forward to extract numeric analysis parameters with physical meanings. Finally, two representative cases are taken to illustrate the implementation steps of the proposed method, and to verify the effectiveness and practicability in engineering. The instance demonstrates that the proposed method could significantly reduce the time consumption of analysis model generation and improve the integration degree of CAD/CAE.

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CAD/CAE integration: updating the CAD model after a FEM analysis

Cited by 35 publications

References 10 publications

Finite Element Analysis based on A Parametric Model by Approximating Point Clouds

Finite Element Analysis based on A Parametric Model by Approximating Point Clouds

Integrated computational product and production engineering for multi-material lightweight structures

An analysis-oriented parameter extraction method for features on freeform surface

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