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    Increasing Throughput in Fused Deposition Modeling by Modulating Bed Temperature

    Source: Journal of Manufacturing Science and Engineering:;2021:;volume( 143 ):;issue: 009::page 094502-1
    Author:
    Snapp, Kelsey L.
    ,
    Gongora, Aldair E.
    ,
    Brown, Keith A.
    DOI: 10.1115/1.4050177
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Additive manufacturing (AM) techniques, such as fused deposition modeling (FDM), are able to fabricate physical components from three-dimensional (3D) digital models through the sequential deposition of material onto a print bed in a layer-by-layer fashion. In FDM and many other AM techniques, it is critical that the part adheres to the bed during printing. After printing, however, excessive bed adhesion can lead to part damage or prevent automated part removal. In this work, we validate a novel testing method that quickly and cheaply evaluates bed adhesion without constraints on part geometry. Using this method, we study the effect of bed temperature on the peak removal force for polylactic acid (PLA) parts printed on bare borosilicate glass and polyimide (PI)-coated beds. In addition to validating conventional wisdom that bed adhesion is maximized between 60 and 70 °C (140 and 158 °F), we observe that cooling the bed below 40 °C (104 °F), as is commonly done to facilitate part removal, has minimal additional benefit. Counterintuitively, we find that heating the bed after printing is often a more efficient process for facile part removal. In addition to introducing a general method for measuring and optimizing bed adhesion via bed temperature modulation, these results can be used to accelerate the production and testing of AM components in printer farms and autonomous research systems.
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      Increasing Throughput in Fused Deposition Modeling by Modulating Bed Temperature

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    contributor authorSnapp, Kelsey L.
    contributor authorGongora, Aldair E.
    contributor authorBrown, Keith A.
    date accessioned2022-02-05T21:44:33Z
    date available2022-02-05T21:44:33Z
    date copyright4/1/2021 12:00:00 AM
    date issued2021
    identifier issn1087-1357
    identifier othermanu_143_9_094502.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4276249
    description abstractAdditive manufacturing (AM) techniques, such as fused deposition modeling (FDM), are able to fabricate physical components from three-dimensional (3D) digital models through the sequential deposition of material onto a print bed in a layer-by-layer fashion. In FDM and many other AM techniques, it is critical that the part adheres to the bed during printing. After printing, however, excessive bed adhesion can lead to part damage or prevent automated part removal. In this work, we validate a novel testing method that quickly and cheaply evaluates bed adhesion without constraints on part geometry. Using this method, we study the effect of bed temperature on the peak removal force for polylactic acid (PLA) parts printed on bare borosilicate glass and polyimide (PI)-coated beds. In addition to validating conventional wisdom that bed adhesion is maximized between 60 and 70 °C (140 and 158 °F), we observe that cooling the bed below 40 °C (104 °F), as is commonly done to facilitate part removal, has minimal additional benefit. Counterintuitively, we find that heating the bed after printing is often a more efficient process for facile part removal. In addition to introducing a general method for measuring and optimizing bed adhesion via bed temperature modulation, these results can be used to accelerate the production and testing of AM components in printer farms and autonomous research systems.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleIncreasing Throughput in Fused Deposition Modeling by Modulating Bed Temperature
    typeJournal Paper
    journal volume143
    journal issue9
    journal titleJournal of Manufacturing Science and Engineering
    identifier doi10.1115/1.4050177
    journal fristpage094502-1
    journal lastpage094502-5
    page5
    treeJournal of Manufacturing Science and Engineering:;2021:;volume( 143 ):;issue: 009
    contenttypeFulltext
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    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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