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Primary channels of the energy dissipation under friction and material cutting are considered. On the basis of the known testing data, it is shown that not all the energy released in these processes is spent on the wear process with the formation of wear particles. A new approach is used to calculate friction and wear characteristics. Proposed dependences differ from the known ones in that they to the fuller extent take into account the quantity of the friction energy “responsible” for the deterioration.The known approaches to assess the energy balance under friction and cutting are analyzed. The relationship between the surface energy and absorbed energy of materials is shown through comparing energy (thermal) costs in macrovolumes and on the actual contact spots. A quantity of energy “responsible” for wear is estimated in the first approximation.

The purpose of this paper is to present the basic principles of the construction and operation of monitoring systems of the tool condition, and the machine tooling backup man-agement in the computer-aided manufacturing. The proposed approach is focused on creating conditions for the effective tool state management. For this, the application of the intelligent host control module on the basis of the interactive electronic technical documentation of the mechatronic technological object is proposed. Valuation principles of the tool life fuzzy boundary are fully considered on the basis of the of fuzzy knowledge theory. Three methods for estimating the parameters of the resistance fuzzy boundary are presented. A neural network which operates on the basis of the developed fuzzy prediction rule base of the cutting tool wear depending on the instrument status and its impact on the part cutting accuracy is built. The results obtained are applicable in the sphere of the industrial engineering.