Automatic Construction of Structural CAD Models from 3D Topology Optimization

Cuillière, Jean-Christophe; Vincent, François; Nana, Alexandre

doi:10.14733/cadconfp.2017.17-21

Cited by 3 publications

(6 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The variable runs along the spline and is defined to be between 0 and 1. With the inner counter curve length given as 456 , the corresponding position of each support point % in the formative curve coordinate system is given by (6).…”

Section: Parametrization Strategymentioning

confidence: 99%

“…Interpreting the results and transferring them back into a functional CAD model is a difficult, often time-consuming and has been a focus of research in the past. [4] [5] [6] Topology optimization has become a well-established structural optimization method in the past years and of its key advantages is the fast number of possible designs it can create. However, a lightweight gearbox in an aerospace application requires specific flexibilities and stiffness criteria for many components.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Geometry-Based Shape Optimization to Improve Dynamical Behaivior of Planetary Gear Boxes in Aero Engines

Konstantinidis¹,

Höschler²,

Hauk³

2020

Proceedings of Global Power &Amp; Propulsion Society

View full text Add to dashboard Cite

Recent development in turbofan engines has led to the integration of planetary gear boxes. The application of a planetary gear box in an aviation environment places high demands on structural and dynamic system behavior. The ring gear mount is the component that connects the gearbox to the surrounding engine architecture and impacts both. The aim is to increase an identified critical Eigen frequency of the gear box system, while the ring gear mount must comply with flexibility, mass and buckling constraints. In this paper a CAD geometry-based optimization process in conjunction with a reduced gear box model is presented. The ring gear mounts shape is optimized via three different parametrization strategies and the use of single-and multi-objective evolutionary-based algorithms. The optimization resulted in a 30 percent increase of the systems critical Eigen frequency and a 5 percent reduction in component mass. The optimization approach and parametrization strategies are versatile and can be transferred to different optimization problems. NOMENCLATURE buckling Eigen value distance to design space limit natural frequency , running variable along a spline structural stiffness non-variable distance component mass design parameter radius Sagitta wall thickness , Cartesian coordinates

show abstract

Section: Parametrization Strategymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Geometry-Based Shape Optimization to Improve Dynamical Behaivior of Planetary Gear Boxes in Aero Engines

Konstantinidis¹,

Höschler²,

Hauk³

2020

Proceedings of Global Power &Amp; Propulsion Society

View full text Add to dashboard Cite

show abstract

“…The third concept, skeletonization, is presented in several articles [8,9]. In one of them, written by Cuilliѐre et al [7], triangle mesh resulting from optimization is smoothed and on its base a network of "skeleton" curves is created. The final result is a truss consisting of beams.…”

Section: Introductionmentioning

confidence: 99%

“…However, each of the presented solutions has some limitations: either it works only for 2D planes, or uses only a beam structure, or the obtained model is not convenient to modify. Moreover, skeletonization can mainly be applied to optimization results with a fixed low density factor, which forces the optimized model to be more truss-like [7]. It is true that there is software available to facilitate the reconstruction of optimized models, but it merely facilitates the process that must be carried out from start to fi nish by the user.…”

Section: Introductionmentioning

confidence: 99%

The Method of Transferring Topology Optimization Results Directly to the CAD System Database

Łyduch¹,

Łukaszyk²,

Nowak³

2022

Adv. Sci. Technol. Res. J.

View full text Add to dashboard Cite

The article presents a method of transferring topological optimization results directly to CAD system. The developed method is based on sequential removal and addition of material, ignoring lesser fragments of the model. The input data includes coordinates of nodes imported from the model of fi nite element method optimized object. The algorithm is able to recognize geometry patterns during material addition and subtraction. Based on the results of the recognition process, individual 3D features are placed in CAD design tree (like "Feature Manager" design tree in Solidworks, used in the procedure described in the article below). Thus, the described algorithm allows for convenient and quick editing of transferred geometry of the optimized object directly in the CAD environment. The algorithm was tested on various examples of 2D and 3D models. The execution code of the presented method was written in Python programming language, and the macro for the CAD program was written in VB.NET. The proposed solution is independent of the optimizer used.

show abstract

“…Possibly, therefore, they had no noteworthy impact on commercial software despite being developed around two decades ago. The use of skeletonisation, or thinning, for compact geometric representations has earlier been pioneered in Bremicker et al [22] for 2d and very recently in Cuillière [23] for 3d. While in [22] the aim was not to arrive at a parametric CAD model, skeletonisation algorithms from digital topology were used to extract a truss structure, which was subsequently size and layout optimised.…”

Section: Introductionmentioning

confidence: 99%

Topologically robust CAD model generation for structural optimisation

Yin,

Xiao,

Cirak

2019

Preprint

View full text Add to dashboard Cite

Computer-aided design (CAD) models play a crucial role in the design, manufacturing and maintenance of products. Therefore, the mesh-based finite element descriptions common in structural optimisation must be first translated into CAD models. Currently, this can at best be performed semi-manually. We propose a fully automated and topologically accurate approach to synthesise a structurally-sound parametric CAD model from topology optimised finite element models. Our solution is to first convert the topology optimised structure into a spatial frame structure and then to regenerate it in a CAD system using standard constructive solid geometry (CSG) operations. The obtained parametric CAD models are compact, that is, have as few as possible geometric parameters, which makes them ideal for editing and further processing within a CAD system. The critical task of converting the topology optimised structure into an optimal spatial frame structure is accomplished in several steps. We first generate from the topology optimised voxel model a one-voxel-wide voxel chain model using a topology-preserving skeletonisation algorithm from digital topology. The undirected graph defined by the voxel chain model yields a spatial frame structure after processing it with standard graph algorithms. Subsequently, we optimise the cross-sections and layout of the frame members to recover its optimality, which may have been compromised during the conversion process. At last, we generate the obtained frame structure in a CAD system by repeatedly combining primitive solids, like cylinders and spheres, using boolean operations. The resulting solid model is a boundary representation (B-Rep) consisting of trimmed non-uniform rational B-spline (NURBS) curves and surfaces.

show abstract

Automatic Construction of Structural CAD Models from 3D Topology Optimization

Cited by 3 publications

References 0 publications

Geometry-Based Shape Optimization to Improve Dynamical Behaivior of Planetary Gear Boxes in Aero Engines

Geometry-Based Shape Optimization to Improve Dynamical Behaivior of Planetary Gear Boxes in Aero Engines

The Method of Transferring Topology Optimization Results Directly to the CAD System Database

Topologically robust CAD model generation for structural optimisation

Contact Info

Product

Resources

About