______________________________________________________ Efficiency of machining in automated production can be raised if cutting modes of machining vary depending on performance of cutting process and wear of the cutter. The random character of the tool wear is determined first of all by machining conditions of which are fluctuations of regimes of cutting, feeding of metal cutting lubricant and its kind, geometry of the tool, properties of the work and machining materials, operation parameters

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... the machine-tool etc. Impact of random factors on cutting tool wear character and intensity in case of machining of steels of 45, 40X, 30 XM and 20X13 grades by varying regimes of cutting has been studied. Interconnection between wear of the back surface and stability parameters. In Fig.1,2,3,4 by 2 (6-3) scheme curves of   T f h  3 dependency are plotted for all cases. By a program developed for multifactor regression analysis statistical processing of experimental data has been carried out resulting in the following mathematical models of connections-tools stability model) , , , , , (3 h HB HRA T S V f T  , tools wear intensity model HB) HRA, T, S, f(V, = Vh 3 , tools wear model) HB, HRA, T, S, f(V, = h 3 , tools wear statistical characteristics-standard deviation (σh3) and dispersion (υh3).