Pei Hongjie

A Study on Milling Burr Expert System in Micro-machining

Machining burrs are often created on the workpiece edges in micro-milling. Burrs make troubles on production lines in terms of deburring cost, quality of products and automation. To prevent problems caused by burrs in machining, prediction and control of burr size is desirable. Experimental studies show that burr formation in micro-milling is a highly complex process depending on a number of parameters such as material properties, tool geometry and cutting parameters. It is very difficult to establish the relationship between burr sizes and cutting conditions. A web-based micro-milling burr expert system for burr sizes prediction and control has been developed using ASP .NET platform. Burrs types and sizes prediction and cutting conditions optimization for burr controlling which based on the reasoning method of BP neural networks are realized. Operation results show the system is reliable. It provides a new technology for burrs modelling and controlling.