Monitoring of cutting process by acoustic emission measurement.

Statistical Process Control for Cutting Tool of Acoustic Emission Monitoring

The problem of cutting process monitoring has been investigated in recent years, with encouraging results, using pattern recognition analysis of acoustic emission (AE) signals. The analyses are based on linear discriminant functions, which assume that the observed data (from each class) are independent random samples from multivariate normal distributions with equal covariance matrices. However...

Flexural monitoring of carbon fiber/epoxy composite by acoustic emission

Carbon / epoxy composite is one of the most useful polymer matrix composites that has special properties such as high strength-to-weight ratio, high hardness, high corrosion resistance, Resistance to nuclear radiation has high consumption in different industries such as aerospace industry. Therefor monitoring of loading of this type of composite is important. In order to determine failure mecha...

Acoustic Emission and Force Sensor Fusion for Monitoring the Cutting Process

An acoustic emission and force-based sensor fusion system involving pattern recognition analysis has been used to detect tool breakage, chip form and a threshold level of tool flank wear in turning. When normalized with the resultant force, the force components in the cutting, radial and feed directions were found to be highly sensitive to variables such as feedrate, material hardness, tool coa...

study of the effect of machining parameters on drilling of composite materials and monitoring of process by acoustic emission

drilling is one of the main machining processes carried out in the assembly stage of automobile manufacturing and aerospace components. generally, delamination is considered as a major problem during drilling of composite materials. in this paper, the effects of feed rate, cutting speed and drill point angle on thrust force and delamination factor have been studied by using full factorial desig...

Acoustic Emission Based In-process Monitoring in Robot Assisted Polishing