Paper Title:

Network Database System for Metal Cutting Burr

Periodical Advanced Materials Research (Volumes 24 - 25)
Main Theme Precision Surface Finishing and Deburring Technology
Edited by Hang Gao, Zhuji Jin and Yannian Rui
Pages 7-12
DOI 10.4028/www.scientific.net/AMR.24-25.7
Citation Yun Ming Zhu et al., 2007, Advanced Materials Research, 24-25, 7
Online since September 2007
Authors Yun Ming Zhu, Gui Cheng Wang, Zhi Wang, Shu Tian Fan
Keywords Cutting Burr, Cutting Conditions Optimization, Network Database, Prediction
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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.

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