CAD Model-Based Localization of Parts in Manufacturing

Computer ◽  
1987 ◽  
Vol 20 (8) ◽  
pp. 66-74 ◽  
Author(s):  
Gunnarsson ◽  
Prinz
Keyword(s):  
Cad Model ◽  
Model Based

CAD Model Based System for Visual Inspection

1993 ◽  
pp. 669-674
Author(s):  
Jharna Majumdar ◽  
Krishnan Rangarajan ◽  
Adil Hameed
Keyword(s):  
Visual Inspection ◽  
Cad Model ◽  
Model Based

Comparison inspection between ICT images & CAD model based on edge extracting by neural networks

2011 ◽  
Vol 19 (10) ◽  
pp. 2533-2540
Author(s):  
曾理 ZENG Li ◽  
何洪举 HE Hong-ju ◽  
张志波 ZHANG Zhi-bo
Keyword(s):  
Neural Networks ◽  
Cad Model ◽  
Model Based

Retrieve CAD Model Based on Face Matching Sequence

2016 ◽  
Vol 9 (3) ◽  
pp. 203-210
Author(s):  
Gao Xue-Yao ◽  
Li Hui-Nan ◽  
Hu Ru ◽  
Zhang Chun-Xiang
Keyword(s):  
Cad Model ◽  
Model Based ◽  
Face Matching

CAD-Model Based Programming of Robots

1989 ◽  
Vol 35 (4) ◽  
pp. 218-221
Author(s):  
B Gurumoorthy
Keyword(s):  
Cad Model ◽  
Model Based

CAD-Model Based Inspection of Sculptured Surfaces

1995 ◽  
Author(s):  
X. Huang ◽  
P. Gu
Keyword(s):  
Critical Issue ◽  
Difficult Problem ◽  
Surface Inspection ◽  
Cad Model ◽  
Sculptured Surfaces ◽  
Complex Surfaces ◽  
Point Matching ◽  
Cad System ◽  
Model Based ◽  
Precision Inspection

Abstract Increasing demands on high precision manufacturing of parts with complex surfaces have been observed in the last several years. Although significant progress has been made in precision machining of complex surfaces, precision inspection of such surfaces remains a difficult problem. A critical issue in surface inspection is localization of design coordinate system (DCS) on a measurement machine. As localization has to rely on manufactured surface features that contain imperfections, a matching method is essential in order to achieve an accurate location. This paper presents a CAD-model based inspection approach to precision inspection of sculptured surfaces. The link between an inspection module and a CAD system was established through neutral files in Pro/Engineer. Surfaces are represented in bicubic parametric spline models. An effective pseudoinverse algorithm was developed and implemented for localization. It consists of two iterative operations: 1), constructing a pseudo transformation matrix, and 2), point matching. Since this approach does not involve solving nonlinear equations for the parameters of positions and orientations, it is fast and robust. The algorithm was implemented and tested with several examples. It is effective and can be used in industry for sculptured surface inspection.

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