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.