Method of triangular mesh modeling in numerical control machining simulation

Zhi-yan Ma , You-ping Chen , Jian-jun Li , Yao-jing Zhao

Journal of Central South University ›› 2010, Vol. 17 ›› Issue (5) : 1021 -1027.

PDF
Journal of Central South University ›› 2010, Vol. 17 ›› Issue (5) : 1021 -1027. DOI: 10.1007/s11771-010-0593-2
Article

Method of triangular mesh modeling in numerical control machining simulation

Author information +
History +
PDF

Abstract

In the process of numerical control machining simulation, the workpiece surface is usually described with the uniform triangular mesh model. To alleviate the contradiction between the simulation speed and accuracy in this model, two improved methods, i.e., the local refinement triangular mesh modeling method and the adaptive triangular mesh modeling method were presented. The simulation results show that when the final shape of the workpiece is known and its mathematic representation is simple, the local refinement triangular mesh modeling method is preferred; when the final shape of the workpiece is unknown and its mathematic description is complicated, the adaptive triangular mesh modeling method is more suitable. The experimental results show that both methods are more targeted and practical and can meet the requirements of real-time and precision in simulation.

Keywords

numerical control machining / triangular mesh model / simulation

Cite this article

Download citation ▾
Zhi-yan Ma, You-ping Chen, Jian-jun Li, Yao-jing Zhao. Method of triangular mesh modeling in numerical control machining simulation. Journal of Central South University, 2010, 17(5): 1021-1027 DOI:10.1007/s11771-010-0593-2

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

GiaconiaP.. Trends in NC simulation [J]. Tooling and Production, 1996, 6: 31-42

[2]

LutterveltC. A. V., ChildsT. H. C., JawahirI. S.. Present situation and future trends in modeling of machining operations [J]. CIRP Annals, 1998, 47(2): 587-626

[3]

SpenceA. D., AbrariF., ElbestawitM. A.. Integrated solid modeler based solutions for machining [J]. Computer-Aided Design, 2000, 32(8): 553-568

[4]

ZhouJ., ZhouY.-hong.Technology of NC machining [M], 2002, Beijing, National Defense Industry Press: 29-50

[5]

ZhaoJ.-z., WeiS.-m., YangP.-ji.. Simulation of NC machining based on improved image space method [J]. China Mechanical Engineering, 1998, 9(5): 28-31

[6]

MaengS. R., BaekN., ShinS. Y.. A fast NC method for linearly moving tools [J]. Computer-Aided Design, 2003, 35(11): 995-1009

[7]

ChoiB. K., ChungY. C., ParkJ. S.. Application and extension of Z-map model [C]. Proceeding of the 3rd Pacific Conference on Computer Graphics and Applications, Pacific Graphics 95’, 1995, Seoul, World Scientific: 363-382

[8]

SabineS.. Simulation of NC machining based on the Dexel model: A critical analysis [J]. International Journal of Advanced Manufacturing Technology, 1995, 10: 149-157

[9]

GaoMing.Research and implementation of optimized discrete vector model of NC machining simulation [D], 2002, Beijing, Beijing University of Aeronautics and Astronautics: 10-53

[10]

LeeS. H., LeeK. S.. Local mesh decimation algorithm for view-independent three-axis NC milling simulation [J]. International Journal of Advanced Manufacturing Technology, 2002, 19: 579-586

[11]

LiuS.-qing.Research and application of level-of-detail technology of mesh models [D], 2006, Wuhan, Huazhong University of Science and Technology: 34-61

[12]

LuoKun.. Using triangular faceted model for NC machining verification [J]. Journal of Computer Aided Design and Computer Graphics, 2001, 13(11): 1024-1028

[13]

HsuP. L., YangW. T.. Real-time 3D simulation of 3-axis milling using isometric projection [J]. Computer-Aided Design, 1993, 25(4): 215-224

[14]

ZhaoJ.-z., WeiS.-m., YangP.-ji.. On improving simulation and verification of numerical control machining [J]. Journal of Northwestern Polytechnic University, 1998, 16(4): 575-579

[15]

ZhaoJ.-z., WeiS.-m., YangP.-ji.. Verification technique for numerical control machining method [J]. Manufacturing Automation, 1998, 20(2): 54-60

AI Summary AI Mindmap
PDF

139

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/