A RESEARCH FOR BUILDING THE MODEL OF MONITORING WHEEL WEAR GRINDING WHEN MACHING Ti6Al4V ALLOY ON FLAT GRINDING MACHINE

Abstract

Appropriate and in-time decision for tool-change is urgently required to avoid damage of the workpiece or unnecessary change of the cutting tool. Reliable on-line tool condition monitoring is an essential feature of modern machine tools. Grinding is the process characterised by using tool with a high number of cutting edges undergoing non-uniform wear, so wheel ware is the most complicated in comparison with other cutting tools. This paper concerns with the development of a grinding wheel wear condition-monitoring system based on ANN model.  Set up system on the on-line monitoring of rock wear including DAQ and DSS. Establish basic relationships in grinding process, especially between stone wear and output parameters (cutting force, vibration, surface roughness,...), use them in stone wear monitoring.