An effective procedure for the early detection and objective diagnosis of faults in turning machine cutting tools is described. The procedure involves the use of an inductive inference theory-based classification program called "Snob". The program objectively divides frequency spectra, generated from force measurements, into classes representing different cutting tool conditions. The estimated ...

in the two dimensional output space. The unsupervised process leads to the self organization of modeling with no previous knowledge of what is being modeled and therefore it does not model a predetermined environment. Taking the above into account feature selection was performed by analyzing the contributions of different sensor based features towards tool wear classification. It was found that...

in this research using statistical analysis the effect of machining parameters such as cutting velocity, feed rate, and tool type on machining power (p m ) in machining process of en-ac 48000 aluminum alloy has been studied. a taguchi l 27 standard array has been utilized as the most economical array to evaluate the factors and their interaction. en-ac 48000 alloy is frequently used in automoti...

To assess the wear of hot stamping tool, a model punch deformation under influence thermal and mechanical loads was developed. The shape relative position die were designed to localize maximum contact at predetermined location. It assumed that is caused by removal surface metal layer, due decreasing its strength during plastic deformation. Simulation performed finite element method in Deform so...