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    Inverse Heat Transfer Analysis of Grinding, Part 1: Methods

    Source: Journal of Manufacturing Science and Engineering:;1996:;volume( 118 ):;issue: 001::page 137
    Author:
    C. Guo
    ,
    S. Malkin
    DOI: 10.1115/1.2803634
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Thermal analyses of the grinding process generally require assumptions concerning the distributions of the heat flux to the workpiece within the grinding zone and convective cooling outside the grinding zone. The present work is concerned with the use of inverse heat transfer methods to estimate the heat flux and convection heat transfer coefficient distributions on the workpiece surface during straight surface grinding from temperature measurements within the workpiece. In the present paper, three inverse heat transfer methods are developed: temperature matching, integral, and sequential methods. Each method is evaluated for accuracy and stability using simulated temperature data. The selection of the sampling frequency of the temperature measurements and location of the temperature sensor are found to be critical for both estimation accuracy and stability. In a second paper, these inverse heat transfer methods are applied to estimate the distributions of the heat flux and convection heat transfer coefficients on the workpiece surface for grinding of steels with aluminum oxide and CBN abrasive wheels.
    keyword(s): Heat transfer , Grinding , Heat flux , Temperature measurement , Convection , Stability , Temperature , Grinding wheels , Sampling (Acoustical engineering) , Cooling , Aluminum , Steel , Temperature sensors AND Thermal analysis ,
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      Inverse Heat Transfer Analysis of Grinding, Part 1: Methods

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    https://yetl.yabesh.ir/yetl1/handle/yetl/117350
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    contributor authorC. Guo
    contributor authorS. Malkin
    date accessioned2017-05-08T23:50:57Z
    date available2017-05-08T23:50:57Z
    date copyrightFebruary, 1996
    date issued1996
    identifier issn1087-1357
    identifier otherJMSEFK-27784#137_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/117350
    description abstractThermal analyses of the grinding process generally require assumptions concerning the distributions of the heat flux to the workpiece within the grinding zone and convective cooling outside the grinding zone. The present work is concerned with the use of inverse heat transfer methods to estimate the heat flux and convection heat transfer coefficient distributions on the workpiece surface during straight surface grinding from temperature measurements within the workpiece. In the present paper, three inverse heat transfer methods are developed: temperature matching, integral, and sequential methods. Each method is evaluated for accuracy and stability using simulated temperature data. The selection of the sampling frequency of the temperature measurements and location of the temperature sensor are found to be critical for both estimation accuracy and stability. In a second paper, these inverse heat transfer methods are applied to estimate the distributions of the heat flux and convection heat transfer coefficients on the workpiece surface for grinding of steels with aluminum oxide and CBN abrasive wheels.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleInverse Heat Transfer Analysis of Grinding, Part 1: Methods
    typeJournal Paper
    journal volume118
    journal issue1
    journal titleJournal of Manufacturing Science and Engineering
    identifier doi10.1115/1.2803634
    journal fristpage137
    journal lastpage142
    identifier eissn1528-8935
    keywordsHeat transfer
    keywordsGrinding
    keywordsHeat flux
    keywordsTemperature measurement
    keywordsConvection
    keywordsStability
    keywordsTemperature
    keywordsGrinding wheels
    keywordsSampling (Acoustical engineering)
    keywordsCooling
    keywordsAluminum
    keywordsSteel
    keywordsTemperature sensors AND Thermal analysis
    treeJournal of Manufacturing Science and Engineering:;1996:;volume( 118 ):;issue: 001
    contenttypeFulltext
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