Cryogenic treatment has been acknowledged by some as means of extending tool life of many cutting tool materials, thus improving productivity significantly. However real mechanisms which guarantee better tool performance are still dubious. This implies the need of further investigations in order to control the technique more significantly. Studies on cryogenically treated HSS tools show microst...

The experimental investigations of the tool wear in turning of EN 31 alloy steel at different cutting parameters are reported in this paper. Mathematical model has been developed for flank wear using response surface methodology. This mathematical model correlates independent cutting parameters viz. cutting speed, feed rate and depth of cut with dependent parameters of flank wear. This model is...

Original scientific paper In this paper, the orthogonal cutting force model is proposed comprising forces due to flank wear in addition to the forces for chip formation during the hard turning of round bar made of steel 60WCrV7 hardened at 55+2HRc. Cutting force model includes two tool conditions: perfectly sharp tool with VBB = 0 and tool with maximum permissible flank wear VBBmax. Based on cu...

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...

This work deals with a model of a developed fuzzy system for tool wear classification. The system consists of three modules: module for acquisition and data processing, for tool wear classifying and for decision making. In addition, some of the methods of signal processing used for defining the entering fuzzy classifier vector have been given.

One of the important developments in modern manufacturing industry has been the trend towards cost savings through stuff reductions whilst simultaneously improving the product quality. Traditional tool change strategies are based on very conservative estimates of tool life from past tool data and this leads to a higher tool change frequency and higher production costs. Intelligent sensor based ...