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    Prediction of Surface Profile Evolution of Workpiece and Lapping Plate in Lapping Process

    Source: Journal of Manufacturing Science and Engineering:;2022:;volume( 144 ):;issue: 008::page 81001-1
    Author:
    Geng, Zhichao
    ,
    Zhou, Ping
    ,
    Meng, Lei
    ,
    Yan, Ying
    ,
    Guo, Dongming
    DOI: 10.1115/1.4053279
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Lapping has a history of hundreds of years, yet it still relies on the experience of workers. To improve the automaticity and controllability of the lapping process, a modeling method of friction and wear is developed to predict the surface profile evolution of the workpiece and lapping plate in the lapping process. In the proposed method, by solving the balance equations of resultant force and moment, the inclination angles of the workpiece can be calculated
     
    thus, a more accurate contact pressure distribution of the workpiece/lapping plate interface can be calculated. Combined with the material removal rate model, the continuous evolution process of the workpiece and lapping plate can be predicted in the lapping process. The modeling method was validated by a lapping test of a flat optical glass workpiece (Φ 100 mm) with a composite copper plate. The results show that the proposed method can predict the evolution of the surface profile of the workpiece and lapping plate with high accuracy. Consequently, the lapping plate can be dressed at the right time point. Benefit from this, in the validation test the Peak to Valley (PV) value of the workpiece (with 5 mm edge exclusion) was reduced from 5.279 µm to 0.267 µm in 30 min. The proposed surface profile evolution modeling method not only improves the lapping efficiency but also provides an opportunity to understand the lapping process.
     
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      Prediction of Surface Profile Evolution of Workpiece and Lapping Plate in Lapping Process

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    contributor authorGeng, Zhichao
    contributor authorZhou, Ping
    contributor authorMeng, Lei
    contributor authorYan, Ying
    contributor authorGuo, Dongming
    date accessioned2022-05-08T08:22:33Z
    date available2022-05-08T08:22:33Z
    date copyright2/16/2022 12:00:00 AM
    date issued2022
    identifier issn1087-1357
    identifier othermanu_144_8_081001.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4283851
    description abstractLapping has a history of hundreds of years, yet it still relies on the experience of workers. To improve the automaticity and controllability of the lapping process, a modeling method of friction and wear is developed to predict the surface profile evolution of the workpiece and lapping plate in the lapping process. In the proposed method, by solving the balance equations of resultant force and moment, the inclination angles of the workpiece can be calculated
    description abstractthus, a more accurate contact pressure distribution of the workpiece/lapping plate interface can be calculated. Combined with the material removal rate model, the continuous evolution process of the workpiece and lapping plate can be predicted in the lapping process. The modeling method was validated by a lapping test of a flat optical glass workpiece (Φ 100 mm) with a composite copper plate. The results show that the proposed method can predict the evolution of the surface profile of the workpiece and lapping plate with high accuracy. Consequently, the lapping plate can be dressed at the right time point. Benefit from this, in the validation test the Peak to Valley (PV) value of the workpiece (with 5 mm edge exclusion) was reduced from 5.279 µm to 0.267 µm in 30 min. The proposed surface profile evolution modeling method not only improves the lapping efficiency but also provides an opportunity to understand the lapping process.
    publisherThe American Society of Mechanical Engineers (ASME)
    titlePrediction of Surface Profile Evolution of Workpiece and Lapping Plate in Lapping Process
    typeJournal Paper
    journal volume144
    journal issue8
    journal titleJournal of Manufacturing Science and Engineering
    identifier doi10.1115/1.4053279
    journal fristpage81001-1
    journal lastpage81001-13
    page13
    treeJournal of Manufacturing Science and Engineering:;2022:;volume( 144 ):;issue: 008
    contenttypeFulltext
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