This paper presents a new statistical-based method of tool life monitoring for turning process, called Integrated Kurtosis-based Algorithm for Z-filter Technique, I-kaz, which was based on statistical analysis. The I-kaz method calculates the related coefficient for the measured machining signals. The input data of the I-kaz was acoustic signal that was generated during machining process, which...

This study presents performance analysis of in-process tool wear detection system which uses the tool-work thermo-electromotive force (E.M.F) by the measurement circuit system as a signal-gauge in face milling. Depending on the width of tool flank wear, the cutting edge signal increases according to the variations of the electrical resistance due the increase of the contact area between tool-wo...

In the metal cutting process, the friction and wear behavior between the cutting tool and machined surface is the most important factor that affects the surface quality and the service life of the cutter. The irregular pore structure of porous titanium alloy has changed its mechanical properties and the processing technology. The friction and wear mechanism of the cutting tool and the machined ...

In this paper, as workpiece lCrl8Ni9Ti for researching foundation, under turning experiments, with the high speed camera, piezoelectric dynamometer and FEM thermal imager, get relevant data from the cutting process, analyze the effect law of geometry shape and chip type from the cutting force, cutting heat, tool wear and breakage as well, in the removal process. By analyzing and summarizing the...

This paper describes a fuzzy-nets approach with the assistance of a statistical model (multiple regression) to create an in-process tool wear prediction (S-FN -ITWP) system, the goal of which is to predict tool wear in milling operations under cutting conditions determined by feed rate and depth of cut with cutting force detected through a dynamometer. After the S-FN-ITWP system had been traine...

This paper presents a simple method for on-line wear state monitoring and tool replacement decision-making using spindle motor and feed motor current signals in drilling. In the paper, the effects of tool wear as well as cutting parameters on the cutting current signals are analyzed. The models on the relationship between the current signals and the cutting parameters are established under diff...