On the effects of the fix geometric constraint in 2D profiles on the reusability of parametric 3D CAD models
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Technology and Design Education"
DOI: 10.1007/s10798-018-9458-z
Abstract: In order to be reusable, history-based feature-based parametric CAD models must reliably allow for modifications while maintaining their original design intent. In this paper, we demonstrate that relations that fix the location of geometric entities… read more here.
Keywords: constraint; cad; reusability; parametric cad ... See more keywords
Fast computation of local minimal distances between CAD models for dynamics simulation
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DOI: 10.1080/16864360.2017.1419646
Abstract: A complete framework for the fast computation of multiple local minimal distances between complex CAD models represented by their smooth boundaries without any tessellation is presented. It is used... read more here.
Keywords: minimal distances; fast computation; computation local; local minimal ... See more keywords
Parallel and automatic mesh sizing field generation for complicated CAD models
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DOI: 10.1108/ec-03-2023-0143
Abstract: PurposeThe purpose of this paper is to present an automatic approach for mesh sizing field generation of complicated computer-aided design (CAD) models.Design/methodology/approachIn this paper, the authors present an automatic approach for mesh sizing field generation.… read more here.
Keywords: mesh sizing; sizing field; field generation; cad models ... See more keywords
ContrastCAD: Contrastive Learning-Based Representation Learning for Computer-Aided Design Models
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DOI: 10.1109/access.2024.3415816
Abstract: The success of Transformer-based models has encouraged many researchers to learn CAD models using sequence-based approaches. However, learning CAD models is still a challenge, because they can be represented as complex shapes with long construction… read more here.
Keywords: representation; construction sequences; contrastive learning; cad ... See more keywords
CAD Model Segmentation Via Deep Learning
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DOI: 10.1142/s0219876220410054
Abstract: Computer aided design (CAD) models are widely employed in the current computer aided engineering or finite element analysis (FEA) systems that necessitate an optimal meshing as a function of their geometry. To this effect, the… read more here.
Keywords: segmentation; deep learning; cad model; cad models ... See more keywords
Feature-Based Model Difference Identification for Aerospace Sheet Metal Parts
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DOI: 10.14733/cadaps.2021.443-467
Abstract: A semantic model difference identification (MDI) solution can be defined as an MDI solution that identifies and represents the differences between two compared models in terms of meaningful engineering information. Semantic representation of the differences… read more here.
Keywords: difference identification; aerospace sheet; cad models; sheet metal ... See more keywords
A Framework for Detection of Exact Global and Partial Symmetry in 3D CAD Models
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DOI: 10.3390/sym15051058
Abstract: The most common way to retrieve symmetry information (i.e., the planes and axes of symmetry) in 3D CAD models is through visual recognition by engineers. However, engineers are not able to visually recognize exact symmetry… read more here.
Keywords: cad; symmetry cad; framework; detection ... See more keywords