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Ke-Zhang Chen

Researcher at University of Hong Kong

Publications -  15
Citations -  255

Ke-Zhang Chen is an academic researcher from University of Hong Kong. The author has contributed to research in topics: Software & Component (UML). The author has an hindex of 9, co-authored 15 publications receiving 248 citations.

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Computer-aided design method for the components made of heterogeneous materials

TL;DR: A computer-aided design method, under the guide of Axiomatic Design, which can apply the functions of current CAD/CAE software and all the information about both configuration and materials of a heterogeneous component, needed for creating its CAD model, can be obtained.
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CAD modeling for the components made of multi heterogeneous materials and smart materials

TL;DR: This paper develops a modeling method that can be implemented by employing the functions of current CAD graphic software and obtain the model that includes all the material information along with geometry information in 3D solid modeling without the problem arising from too much data.
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Recognition of digital curves scanned from paper drawings using genetic algorithms

TL;DR: This paper develops a recognition method of digital curves scanned from paper drawings for subsequent pattern recognition and 3D reconstruction and verified that the recognition method based on the networks of SCRs and the genetic algorithm is feasible and efficient.
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Intelligent dimensioning for mechanical parts based on feature extraction

TL;DR: This paper presents an intelligent dimensioning approach to generate dimensions for 2D drawing of mechanical parts automatically from their 3D part models based on feature extraction, and develops a corresponding software prototype.
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Intelligent approaches for generating assembly drawings from 3-D computer models of mechanical products

TL;DR: An intelligent approach for generating assembly drawings automatically from three-dimensional (3-D) computer assembly models of mechanical products by simulating the experienced human designer's thinking mode with the aid of computer graphics and knowledge-based expert system is developed.