A hybrid method for feature recognition in computer-aided design models

2007 ◽  
Vol 221 (1) ◽  
pp. 79-96 ◽  
Author(s):  
S S Dimov ◽  
E B Brousseau ◽  
R Setchi
Keyword(s):  
Hybrid Method ◽  
Computer Aided Design ◽  
Feature Recognition ◽  
Design Models ◽  
Computer Aided ◽  
Aided Design

An oriented feature extraction and recognition approach for concave-convex mixed interacting features in cast-then-machined parts

2018 ◽  
Vol 233 (4) ◽  
pp. 1269-1288 ◽  
Author(s):  
Haichao Wang ◽  
Jie Zhang ◽  
Xiaolong Zhang ◽  
Changwei Ren ◽  
Xiaoxi Wang ◽  
...  
Keyword(s):  
Feature Extraction ◽  
Computer Aided Design ◽  
Feature Recognition ◽  
Freeform Surface ◽  
Layer By Layer ◽  
Computer Aided Process Planning ◽  
Computer Aided ◽  
Machined Parts ◽  
Aided Design ◽  
Interacting Features

Feature recognition is an important technology of computer-aided design/computer-aided engineering/computer-aided process planning/computer-aided manufacturing integration in cast-then-machined part manufacturing. Graph-based approach is one of the most popular feature recognition methods; however, it cannot still solve concave-convex mixed interacting feature recognition problem, which is a common problem in feature recognition of cast-then-machined parts. In this study, an oriented feature extraction and recognition approach is proposed for concave-convex mixed interacting features. The method first extracts predefined features directionally according to the rules generated from attributed adjacency graphs–based feature library and peels off them from part model layer by layer. Sub-features in an interacting feature are associated via hints and organized as a feature tree. The time cost is reduced to less than [Formula: see text] by eliminating subgraph isomorphism and matching operations. Oriented feature extraction and recognition approach recognizes non-freeform-surface features directionally regardless of the part structure. Hence, its application scope can be extended to multiple kinds of non-freeform-surface parts by customizing. Based on our findings, implementations on prismatic, plate, fork, axlebox, linkage, and cast-then-machined parts prove that the proposed approach is applicable on non-freeform-surface parts and effectively recognize concave-convex mixed interacting feature in various mechanical parts.

scholarly journals Automated Mesh Deformation for Computer-Aided Design Models That Exhibit Boundary Topology Changes

AIAA Journal ◽  
2020 ◽  
Vol 58 (9) ◽  
pp. 4128-4141
Author(s):  
Liang Sun ◽  
Weigang Yao ◽  
Trevor T. Robinson ◽  
Cecil G. Armstrong ◽  
Simão P. Marques
Keyword(s):  
Computer Aided Design ◽  
Mesh Deformation ◽  
Design Models ◽  
Topology Changes ◽  
Computer Aided ◽  
Aided Design

A Method for Automatic Generation of Parametric Computer Aided Design Models in a Mold Base e-Catalog System

2006 ◽  
Vol 6 (3) ◽  
pp. 308-314 ◽  
Author(s):  
Duhwan Mun ◽  
Heungki Kim ◽  
Kwangsub Jang ◽  
Junmyun Cho ◽  
Junhwan Kim ◽  
...  
Keyword(s):  
Computer Aided Design ◽  
Parametric Method ◽  
Automatic Generation ◽  
Configuration Design ◽  
Design Models ◽  
Cad System ◽  
Computer Aided ◽  
Cad Models ◽  
Parametric Cad ◽  
Aided Design

Reusing existing design models and utilizing an e-Catalog for components are required for faster product development. For the acceleration, an e-Catalog should provide parametric computer aided design (CAD) models, since parametric information is necessary for configuration design. There are difficulties, however, in building a parametric library of all the necessary combinations using a CAD system, because there are too many component combinations for each product. To overcome this problem, we propose a table parametric method to generate parametric CAD models automatically, and describe its details.

scholarly journals Accuracy of computer-aided design models of the jaws produced using ultra-low MDCT doses and ASIR and MBIR

2018 ◽  
Vol 13 (11) ◽  
pp. 1853-1860
Author(s):  
Asma’a A. Al-Ekrish ◽  
Sara A. Alfadda ◽  
Wadea Ameen ◽  
Romed Hörmann ◽  
Wolfgang Puelacher ◽  
...  
Keyword(s):  
Computer Aided Design ◽  
Design Models ◽  
Computer Aided ◽  
Aided Design

Microstructure Feature Recognition for Materials Using Surfacelet-Based Methods for Computer-Aided Design-Material Integration

2014 ◽  
Vol 136 (6) ◽  
Author(s):  
Namin Jeong ◽  
David W. Rosen
Keyword(s):  
Computer Aided Design ◽  
Feature Recognition ◽  
Computational Method ◽  
Geometric Features ◽  
Material Microstructure ◽  
Control Material ◽  
Computer Aided ◽  
Aided Design ◽  
And Control ◽  
Material Information

With the material processing freedoms of additive manufacturing (AM), the ability to characterize and control material microstructures is essential if part designers are to properly design parts. To integrate material information into Computer-aided design (CAD) systems, geometric features of material microstructure must be recognized and represented, which is the focus of this paper. Linear microstructure features, such as fibers or grain boundaries, can be found computationally from microstructure images using surfacelet based methods, which include the Radon or Radon-like transform followed by a wavelet transform. By finding peaks in the transform results, linear features can be recognized and characterized by length, orientation, and position. The challenge is that often a feature will be imprecisely represented in the transformed parameter space. In this paper, we demonstrate surfacelet-based methods to recognize microstructure features in parts fabricated by AM. We will provide an explicit computational method to recognize and to quantify linear geometric features from an image.

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