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    Model-Based Analysis of the Surface Generation in Microendmilling—Part II: Experimental Validation and Analysis

    Source: Journal of Manufacturing Science and Engineering:;2007:;volume( 129 ):;issue: 003::page 461
    Author:
    Xinyu Liu
    ,
    Richard E. DeVor
    ,
    Shiv G. Kapoor
    DOI: 10.1115/1.2716706
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The surface-generation models for the microendmilling process developed in Part I (, , and , 2007, J. Manuf. Sci. Eng., 129(3), pp. 453–460) are experimentally calibrated and validated. Partial immersion peripheral downmilling and full-immersion slotting tests are performed over a wide range of feed rates (0.25–12μm∕flute) using two tools with different edge radii (3μm and 2μm) and runout levels (2μm and 3μm) for the investigation of sidewall and floor surface generation, respectively. The deterministic models are validated using large feed-rate tests with errors within 18% for both sidewall and floor surfaces. For low feed-rate tests, the stochastic portion of the surface roughness data are determined from the observed roughness data and the validated deterministic model. The stochastic models are then calibrated and validated using independent data sets. The combination of the deterministic and stochastic models predicts the total surface roughness within 15% for both the sidewall and floor surface over a range of feed rates. The models are then used to simulate micromachined surfaces under a variety of conditions to gain a deeper understanding of the effects of tool geometry (edge radius and edge serration), process conditions, tool tip runout, process kinematics and dynamics on the machined surface roughness.
    keyword(s): Surface roughness AND Model validation ,
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      Model-Based Analysis of the Surface Generation in Microendmilling—Part II: Experimental Validation and Analysis

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    contributor authorXinyu Liu
    contributor authorRichard E. DeVor
    contributor authorShiv G. Kapoor
    date accessioned2017-05-09T00:24:45Z
    date available2017-05-09T00:24:45Z
    date copyrightJune, 2007
    date issued2007
    identifier issn1087-1357
    identifier otherJMSEFK-28004#461_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/136292
    description abstractThe surface-generation models for the microendmilling process developed in Part I (, , and , 2007, J. Manuf. Sci. Eng., 129(3), pp. 453–460) are experimentally calibrated and validated. Partial immersion peripheral downmilling and full-immersion slotting tests are performed over a wide range of feed rates (0.25–12μm∕flute) using two tools with different edge radii (3μm and 2μm) and runout levels (2μm and 3μm) for the investigation of sidewall and floor surface generation, respectively. The deterministic models are validated using large feed-rate tests with errors within 18% for both sidewall and floor surfaces. For low feed-rate tests, the stochastic portion of the surface roughness data are determined from the observed roughness data and the validated deterministic model. The stochastic models are then calibrated and validated using independent data sets. The combination of the deterministic and stochastic models predicts the total surface roughness within 15% for both the sidewall and floor surface over a range of feed rates. The models are then used to simulate micromachined surfaces under a variety of conditions to gain a deeper understanding of the effects of tool geometry (edge radius and edge serration), process conditions, tool tip runout, process kinematics and dynamics on the machined surface roughness.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleModel-Based Analysis of the Surface Generation in Microendmilling—Part II: Experimental Validation and Analysis
    typeJournal Paper
    journal volume129
    journal issue3
    journal titleJournal of Manufacturing Science and Engineering
    identifier doi10.1115/1.2716706
    journal fristpage461
    journal lastpage469
    identifier eissn1528-8935
    keywordsSurface roughness AND Model validation
    treeJournal of Manufacturing Science and Engineering:;2007:;volume( 129 ):;issue: 003
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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