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Key Engineering Materials Vol. 16

Key Engineering Materials Vol. 3

In the light of the problem of low efficiency in reverse engineering model reconstruction, taking Auto part as object of study, analysis the key technology in this paper.
Reverse engineering (RE) is defined as the process of obtaining a geometric CAD model from point cloud acquired by scanning/digitizing existing parts/products without any technical details, such as drawings, bills-of-material.
Therefore, efficient, high-precision data acquisition is one of basic and key technologies to carry out reverse engineering, and it is most fundamental and indispensable step for it.
Conclusions This paper reconstructs CAD model of Auto part based on reverse engineering, analysis the key technology in Auto part reverse engineering model reconstruction, put forward one model reconstruction method to improve Auto part design efficiency.
Reverse engineering: an industrial perspective.

Key Engineering Materials Vol. 34

Key Engineering Materials Vol. 5

Key Engineering Materials Vol. 6

Telecontrol Engineering of Three-dimensional Measurements from Two-dimensional Digital Photogrammetry for Scene Reconstruction Daiqin Tao1, a, Zhiyong Yin1,b,* , Shengxiong Liu1,c , Lijun Wang1,b 1Chongqing Key Laboratory of Vehicle/Biological Crash Security, Department 4, Institute of Surgery Research, Daping Hospital, Third Military Medical University, Chongqing 400042, China ataodaiqin@qq.com, bzyyin@cta.cq.cn, clsndxfj@sina.com *Corresponding author: Prof.
Key words: Image engineering, Scene reconstruction, Remote modeling, Computer simulation, 3D measurements, 2D Image processing, Digital photogrammetry Abstract.
It can be positively applied to the remote scene reconstruction as well as other engineering vistas.
Introduction The scene reconstruction is the difficulty and key [1] aspect both in traffic accidents analysis and other scene investigation.
Fig. 1 The technical project flow chart Materials and Methods Photogrammetry triangulation.

Application of Materials Design Based on Genetic Neural Network Yilai Zhang 1, Xuejian Li2, Lingke Zeng 1 and Chengkang Chang 3 1 College of Materials Science and Engineering of South China University of Technology, Guangzhou, China 2 Jingdezhen Ceramic Institute, Jiangxi, China 3 Fudan University, Shanghai, China Keywords: Materials design, NN, GNNA.
The key step is to establish the mathematical relationship of material performance with raw material kinds and so on.
In engineering application field, real-coded GA is doable [4].
The relative errors are controlled within 5%, and they may meet engineering needs.
Yue: Forest Engineering vol. 19 (2003), pp. 36

The finite element model for interface crack of bi-material is set up, the friction phenomena of interface between two materials is simulated.
Due to the interface crack is easily produced in joint with different properties of two materials, so the bi-material-interfacial cracks are the one of the key research of fracture theory.
The finite element model for interface crack of bi-material is set up, the friction phenomena of interface between two materials is simulated[5].
Vol. 35 (2003), p. 85 [2] Ming Song, Youtang Li and Xingchun Wei: Journal of Science Technology and Engineering.
Vol. 35 (2009), p. 158 [12] Liqing Wang, Bingzheng Gai: submitted to Journal of Engineering Mechanics (2009), p.7

In addition, through the rational design in a modern car, with application of new lightweight materials, such as high strength steel,1 aluminum and magnesium alloys, titanium alloys, engineering plastics and carbon fiber, rare earth and other polymer and composite material to replace the traditional iron and steel materials would also be of an important ways to reduce the automobile weight, with ensuring high-speed vehicle stability and security of the premise as well as[1].
As well as, we must adhere to the technology path in that, structural design, a variety of materials and manufacturing techniques are integrated, which is the key of resolving the problem of lightweight and security.
Author: Wang Xiu-Jie (1977-), female, Tianjin Ninghe, PhD student of Hunan University, lecturer, research directions for vehicle engineering and automotive technology and industry development; Chen Yi-Song(1988-), male, PhD student of Hunan University, research directions for vehicle engineering and automotive technology and industry development.
Nikitina,Fiber and carbon materials for removing oil products from effluent[J].Chemical and Petroleum Engineering, 2008, Volume 44, Numbers 1-2, Pages 41-44 [4] BAYERISCHE Motoren Werke AG.
Materials & Design.