Abstract

The process effectiveness of blade cutting is defined considerably with the prediction accuracy of cutting tool durability term. But, in spite of that cutting processes have a probabilistic character, in modern mechanical engineering there are used durability de-pendences describing only the dependence of an average period of blade cutting tool durability upon cutting modes without taking into account a stochastic nature of tool wear depending upon many factors. For ac-counting cutting process variability there are offered stochastic models of cutting tool failure, but they hold good for a cutting tool with one cutting edge and in the case with a multi-blade cutting tool they must be speci-fied. In the paper it is defined that at a fan wear model with the increase of the blade number the period of cutting tool durability decreases, as failure likelihood of even one blade increases because of the blade properties spread of one tool. The factor of a durability period variation decreases with the growth of the blade number because of the decrease of an average durability period decrease. In the case of a wear accumulation model the multi-blade tool reliability does not depend upon the blade number. The dependences of an average period of durability and a factor of variation at a complex model of wear are similar to the case with the fan model of wear, but their values will be higher. In the case of a destruction model the factor of multi-blade tool durability variation does not depend upon the blade number, but an average durability depends considerably upon the blade number, but the dependence appearance corresponds to the dependence of an average durability at a fan model of wear. The type of the dependence of durability average period upon on the blade number at a generalized model of failures is similar to the cases considered previously, and a kind of the dependence of a variation factor changes depending on model parameters

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