Network Database System for Metal Cutting Burr

Abstract:

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The formation and existence of burrs is one of the common phenomena in machining. It affects directly machining accuracy and parts quality. Network database system for metal cutting burr is developed using ASP.NET platform. The management of metal cutting burr data, inquiry and prediction of cutting burrs types and sizes, optimization of cutting conditions for controlling burr forming which based on the reasoning method of BP neural networks are realized. The development and realization of network database of metal cutting burr provide a convenient way for data transmission between multi-workshop and across regions, promote the development of burr controlling technology and modern manufacture technology.

Info:

Periodical:

Advanced Materials Research (Volumes 24-25)

Edited by:

Hang Gao, Zhuji Jin and Yannian Rui

Pages:

7-12

Citation:

Y. M. Zhu et al., "Network Database System for Metal Cutting Burr", Advanced Materials Research, Vols. 24-25, pp. 7-12, 2007

Online since:

September 2007

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Price:

$38.00

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[4] B. Wu, Y.X. Ma. Expert System. Press of Beijing University of science and technology (2001).

[5] Y.M. Zhu, G. C Wang., S.T. Fan. Study and Application of the Expert System for Metal Cutting Burr based on NN. China Mechanical Engineering, Vol. 16(2005), p.1039~1041.

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