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    Prediction of Blunting Area of Abrasive Grains on a Grinding Wheel

    Source: Journal of Manufacturing Science and Engineering:;2017:;volume( 139 ):;issue: 012::page 121004
    Author:
    Dyakonov
    ,
    Aleksandr A.;Ardashev
    ,
    Dmitrii V.
    DOI: 10.1115/1.4038055
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The article presents the results of calculating the blunting area of abrasive grains of grinding wheels, determined in accordance with the previously developed model. The mathematic model of the size of the blunting area of an abrasive grain considers the main mechanisms of its wear—mechanical and physicochemical. These mechanisms are taken into account in the model. For the first time, the kinetic theory of strength was used for determining the mechanical wear of abrasive grain. The mass transfer theory was used to study the physicochemical wear: coefficients of chemical affinity with the abrasive material are experimentally defined for the assortment of workpiece materials. The developed mathematic model is a multiple-factor one and this will allow to predict the size of wear of the abrasive wheel for different technological conditions. Also, the article presents the experimental method for determining the blunting area of abrasive grains of grinding wheels, which allows making a direct measurement of wear parameters of grinding wheels. The main parameter of grinding wheel wear is the length of the blunting area of the grain, which was measured out in the direction of the cutting speed vector. The grinding wheels of different graininess were studied—F60 and F46. The grinding wheel working surface was studied by numerical photos and microscope. The results of these experiments have confirmed the adequacy of the design model.
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      Prediction of Blunting Area of Abrasive Grains on a Grinding Wheel

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4242750
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    contributor authorDyakonov
    contributor authorAleksandr A.;Ardashev
    contributor authorDmitrii V.
    date accessioned2017-12-30T11:43:14Z
    date available2017-12-30T11:43:14Z
    date copyright11/2/2017 12:00:00 AM
    date issued2017
    identifier issn1087-1357
    identifier othermanu_139_12_121004.pdf
    identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4242750
    description abstractThe article presents the results of calculating the blunting area of abrasive grains of grinding wheels, determined in accordance with the previously developed model. The mathematic model of the size of the blunting area of an abrasive grain considers the main mechanisms of its wear—mechanical and physicochemical. These mechanisms are taken into account in the model. For the first time, the kinetic theory of strength was used for determining the mechanical wear of abrasive grain. The mass transfer theory was used to study the physicochemical wear: coefficients of chemical affinity with the abrasive material are experimentally defined for the assortment of workpiece materials. The developed mathematic model is a multiple-factor one and this will allow to predict the size of wear of the abrasive wheel for different technological conditions. Also, the article presents the experimental method for determining the blunting area of abrasive grains of grinding wheels, which allows making a direct measurement of wear parameters of grinding wheels. The main parameter of grinding wheel wear is the length of the blunting area of the grain, which was measured out in the direction of the cutting speed vector. The grinding wheels of different graininess were studied—F60 and F46. The grinding wheel working surface was studied by numerical photos and microscope. The results of these experiments have confirmed the adequacy of the design model.
    publisherThe American Society of Mechanical Engineers (ASME)
    titlePrediction of Blunting Area of Abrasive Grains on a Grinding Wheel
    typeJournal Paper
    journal volume139
    journal issue12
    journal titleJournal of Manufacturing Science and Engineering
    identifier doi10.1115/1.4038055
    journal fristpage121004
    journal lastpage121004-5
    treeJournal of Manufacturing Science and Engineering:;2017:;volume( 139 ):;issue: 012
    contenttypeFulltext
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