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    Determination of Force Parameters for Milling Simulations by Combining Optimization and Simulation Techniques

    Source: Journal of Manufacturing Science and Engineering:;2016:;volume( 138 ):;issue: 004::page 44502
    Author:
    Freiburg, Dennis
    ,
    Hense, Rouven
    ,
    Kersting, Petra
    ,
    Biermann, Dirk
    DOI: 10.1115/1.4031336
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Milling is a machining process in which material removal occurs due to the rotary motion of a cutting tool relative to a typically stationary workpiece. In modern machining centers, up to and exceeding six degrees of freedom for motion relative to the tool and workpiece are possible, which results in a very complex chip and force formation. For the process layout, simulations can be used to calculate the occurring process forces, which are needed, e.g., for the prediction of surface errors of the workpiece, or for tool wear and process optimization examinations. One limiting factor for the quality of simulation results is the parametrization of the models. The most important parameters for milling simulations are the ones that calibrate the force model, as nearly every modeled process characteristic depends on the forces. This article presents the combination of a milling simulation with the Broyden–Fletcher–Goldfarb–Shanno (BFGS) optimization algorithm for the fast determination of force parameters that are valid for a wide range of process parameters. Experiments were conducted to measure the process forces during milling with different process parameters. The measured forces serve as basis for tests regarding the quality of the determined force parameters. The effect of the tool runout on the optimization result is also discussed, as this may have significant influence on the forces when using tools with more than one tooth. The article ends with a conclusion, in which some notes about the practical application of the algorithm are given.
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      Determination of Force Parameters for Milling Simulations by Combining Optimization and Simulation Techniques

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    contributor authorFreiburg, Dennis
    contributor authorHense, Rouven
    contributor authorKersting, Petra
    contributor authorBiermann, Dirk
    date accessioned2017-11-25T07:17:20Z
    date available2017-11-25T07:17:20Z
    date copyright2015/27/10
    date issued2016
    identifier issn1087-1357
    identifier othermanu_138_04_044502.pdf
    identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4234514
    description abstractMilling is a machining process in which material removal occurs due to the rotary motion of a cutting tool relative to a typically stationary workpiece. In modern machining centers, up to and exceeding six degrees of freedom for motion relative to the tool and workpiece are possible, which results in a very complex chip and force formation. For the process layout, simulations can be used to calculate the occurring process forces, which are needed, e.g., for the prediction of surface errors of the workpiece, or for tool wear and process optimization examinations. One limiting factor for the quality of simulation results is the parametrization of the models. The most important parameters for milling simulations are the ones that calibrate the force model, as nearly every modeled process characteristic depends on the forces. This article presents the combination of a milling simulation with the Broyden–Fletcher–Goldfarb–Shanno (BFGS) optimization algorithm for the fast determination of force parameters that are valid for a wide range of process parameters. Experiments were conducted to measure the process forces during milling with different process parameters. The measured forces serve as basis for tests regarding the quality of the determined force parameters. The effect of the tool runout on the optimization result is also discussed, as this may have significant influence on the forces when using tools with more than one tooth. The article ends with a conclusion, in which some notes about the practical application of the algorithm are given.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleDetermination of Force Parameters for Milling Simulations by Combining Optimization and Simulation Techniques
    typeJournal Paper
    journal volume138
    journal issue4
    journal titleJournal of Manufacturing Science and Engineering
    identifier doi10.1115/1.4031336
    journal fristpage44502
    journal lastpage044502-6
    treeJournal of Manufacturing Science and Engineering:;2016:;volume( 138 ):;issue: 004
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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