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contributor authorArdashev
contributor authorDmitrii V.;Dyakonov
contributor authorAleksandr A.
date accessioned2017-12-30T11:43:12Z
date available2017-12-30T11:43:12Z
date copyright11/2/2017 12:00:00 AM
date issued2017
identifier issn1087-1357
identifier othermanu_139_12_121005.pdf
identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4242744
description abstractThe paper offers a simulation model of the grinding force with account for the current condition of the grinding wheel's working surface—the value of the abrasive grain blunting area. The model of blunting area takes into account various wear mechanisms for abrasive grains: the mechanical wear is realized on the provisions of the kinetic theory of the strength of a solid subjected to cyclic loads, and the physicochemical wear is based on the intensity of interaction between the abrasive and the treated material at grinding temperatures. The offered model of the grinding force takes into account the unsteady stochastic nature of the interaction between abrasive grains of the grinding wheel and the working surface and the intensity of workpiece material deformation resistance. The model is multifactorial and complex and can be realized by supercomputer modeling. The numerical implementation of the model was performed with application of supercomputer devices engaging parallel calculations. The performed experiments on measurement of the grinding force during circular grinding have shown a 10% convergence with the calculated values. The developed grinding force model can be used as a forecast model to determine the operational functionality of grinding wheel when used in varying technological conditions.
publisherThe American Society of Mechanical Engineers (ASME)
titleMathematical Model of the Grinding Force With Account for Blunting of Abrasive Grains of the Grinding Wheel
typeJournal Paper
journal volume139
journal issue12
journal titleJournal of Manufacturing Science and Engineering
identifier doi10.1115/1.4037939
journal fristpage121005
journal lastpage121005-7
treeJournal of Manufacturing Science and Engineering:;2017:;volume( 139 ):;issue: 012
contenttypeFulltext


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