Power of a voxel approach to structural analysis and topology-shape optimization in automobile industries

Torigaki, Toshikazu; Fujitani, Katsuro

doi:10.1007/bf03167341

Cited by 10 publications

(4 citation statements)

References 3 publications

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“…Voxel models generated by recursive bisection or derived from x‐ray images and quantitative computer tomography scans (qCT‐scan), respectively, are often used to overcome a time‐consuming and error‐prone mesh‐generation for the numerical simulation of structures of high geometric complexity. Such simulations include, for example, seismic analyses and ground water flow in soil mechanics , shape and topology optimization of complicated structures , stability analyses of foam structures and numerous examples from biomedical fields as bone or dental mechanics . For finite element schemes, the voxel approach avoids fine granular meshes, but still is often limited in terms of accuracy because of a constant element‐wise material assignment.…”

Section: Introductionmentioning

confidence: 99%

An efficient integration technique for the voxel‐based finite cell method

Yang

Ruess

Kollmannsberger

et al. 2012

Numerical Meth Engineering

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The Finite Cell Method (FCM) is a fictitious domain approach based on hierarchical Ansatz spaces of higher order. The method avoids time-consuming and often error-prone mesh-generation and favorably exploits Cartesian grids to embed structures of complex geometry in a simple shaped computational domain thus shifting parts of the computational effort from mesh generation to the computation within the embedding finite cells of regular shape. This paper presents an effective integration approach for voxel-based models of linear elasticity that drastically reduces the computational effort on cell level. The applied strategy allows the pre-computation of an essential part of the cell matrices and vectors of higher order, representing stiffness and load, respectively. Several benchmark problems show the potential of the proposed method in particular for heterogeneous material properties as common in biomedical applications based on computer tomography scans. The applied strategy ensures a fast computation for time-critical simulations and even allows user-interactive simulations for models of moderate size at a high level of accuracy.

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Section: Introductionmentioning

confidence: 99%

An efficient integration technique for the voxel‐based finite cell method

Yang

Ruess

Kollmannsberger

et al. 2012

Numerical Meth Engineering

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“…The six-unit cell topologies (Figure 3) which will be considered in the following of the paper are listed and described below: They can be used as a support for the voxelization method 19 that creates the point cloud needed to generate all the cells. This point cloud is generated in the form of an array of points inside a body at the same distance in all the three dimensions, and then properly connected to create the lattice structure.…”

Section: Bio-inspired Materials Structuresmentioning

confidence: 99%

Proposal of a standard for 2D representation of bio-inspired lightweight lattice structures in drawings

Bacciaglia

Ceruti

Liverani

2020

Proceedings of the Institution of Mechanical Engineers, Part C:

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The interest of industrial companies for the Additive Manufacturing (AM) technology is growing year after year due to its capability of producing components with complex shapes that fit industrial engineering necessities better than traditionally manufactured parts. However, conventional Computer-Aided Design (CAD) software are often limited for the design and representation of complex geometries, especially when dealing with lattice structures: these are bio-inspired structures composed of repeated small elements, called struts, which are combined to shape a unit cell that is repeated across a domain. This design method generates a lightweight but stiff component. The scope of this work is to analyse the problem of the lattice structures representation in 2 D technical drawings and propose some contributions to support the development of Standards for their 2 D representation. This work is focused on the proposal of rules useful to represent such hierarchic structures. Python language and the open-source software FreeCad™ are used as a software platform to evaluate the suitability and usability of the proposed representation standard. This is based on simplified symbols to describe complex lattice structures instead of representing all the elements which constitute the lattice. The standard is thought to be used in technical 2 D drawings where assemblies are represented and lattice components are used (e.g. parts assembly, maintenance, parts catalogues). A case study is included to describe how the proposed standard could be integrated into a 2 D assembly drawing, following technical product documentation production typical workflow.

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“…Regarding the geometry of model and parameter validation, the voxel model is good for detailed structural analysis and topology design study of surface modeling and optimization not only for automation industry but also for computer-aided design in software [5]. Manufacturing grid system and its optimal selection-based analysis in resource and service have been studied [6][7][8][9][10].…”

Section: Previous Work and Related Techniquesmentioning

confidence: 99%

Step Ring-Based Three-Dimensional Path Planning Via Graphics Processing Unit Simulation for Subtractive Three-Dimensional Printing

Tucker

Nath

et al. 2016

Journal of Manufacturing Science and Engineering

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In this paper, both software model visualization with path simulation and associated machining product are produced based on the step ring-based three-axis path planning to demo model-driven graphics processing unit (GPU) feature in tool path planning and 3D image model classification by GPU simulation. Subtractive 3D printing (i.e., 3D machining) is represented as integration between 3D printing modeling and computer numerical control (CNC) machining via GPU simulated software. Path planning is applied through visualization of surface material removal in high-resolution and 3D path simulation via ring selective path planning based on accessibility of path through pattern selection. First, the step ring selects critical features to reconstruct computer-aided design (CAD) design model as stereolithography (STL) voxel, and then, local optimization is attained within interested ring area for time and energy saving of GPU volume generation as compared to global automatic path planning with longer latency. The reconstructed CAD model comes from an original sample (GATech buzz) with 2D image information. CAD model for optimization and validation is adopted to sustain manufacturing reproduction based on system simulation feedback. To avoid collision with the produced path from retraction path, we pick adaptive ring path generation and prediction in each planning iteration, which may also minimize material removal. Moreover, we did partition analysis and G-code optimization for large-scale model and high density volume data. Image classification and grid analysis based on adaptive 3D tree depth are proposed for multilevel set partition of the model to define no cutting zones. After that, accessibility map is computed based on accessibility space for rotational angular space of path orientation to compare step ring-based pass planning verses global path planning of all geometries. Feature analysis via central processing unit (CPU) or GPU processor for GPU map computation contributes to high-performance computing and cloud computing potential through parallel computing application of subtractive 3D printing in the future.

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Power of a voxel approach to structural analysis and topology-shape optimization in automobile industries

Cited by 10 publications

References 3 publications

An efficient integration technique for the voxel‐based finite cell method

An efficient integration technique for the voxel‐based finite cell method

Proposal of a standard for 2D representation of bio-inspired lightweight lattice structures in drawings

Step Ring-Based Three-Dimensional Path Planning Via Graphics Processing Unit Simulation for Subtractive Three-Dimensional Printing

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