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    Design and Implementation of a Multisensor Coaxial Monitoring System With Correction Strategies for Selective Laser Melting of a Maraging Steel

    Source: Journal of Manufacturing Science and Engineering:;2018:;volume( 140 ):;issue: 004::page 41003
    Author:
    Gökhan Demir, Ali
    ,
    De Giorgi, Chiara
    ,
    Previtali, Barbara
    DOI: 10.1115/1.4038568
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Development of monitoring devices becomes crucially important in selective laser melting (SLM) due to the high process complexity and the high value of the products obtained. This work discusses the design of a coaxial monitoring system for SLM using multiple sensors. In particular, an optical model is developed for the propagation of the process emission from the workpiece to the monitoring module. The model is used to determine the field of view (FOV) around the monitored zone. The lens arrangements and the optical filters are chosen according to the model results. They were implemented to construct a monitoring module consisting of two cameras viewing visible and near-infrared wavelength bands, as well as a photodiode viewing the back-reflected laser emission, all integrated in a coaxial configuration. The system functionality is tested with a prototype SLM machine during the processing of 18Ni300 maraging steel, a material known to be prone to porosity. In particular, different remelting strategies were employed as possible correction strategies to reduce porosity. The signals were interpreted as being indicators of the change in absorptivity of the laser light by the powder bed, of the plasma and molten pool, as well as of the evolution of the temperature field.
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      Design and Implementation of a Multisensor Coaxial Monitoring System With Correction Strategies for Selective Laser Melting of a Maraging Steel

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4251957
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    contributor authorGökhan Demir, Ali
    contributor authorDe Giorgi, Chiara
    contributor authorPrevitali, Barbara
    date accessioned2019-02-28T11:02:10Z
    date available2019-02-28T11:02:10Z
    date copyright2/5/2018 12:00:00 AM
    date issued2018
    identifier issn1087-1357
    identifier othermanu_140_04_041003.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4251957
    description abstractDevelopment of monitoring devices becomes crucially important in selective laser melting (SLM) due to the high process complexity and the high value of the products obtained. This work discusses the design of a coaxial monitoring system for SLM using multiple sensors. In particular, an optical model is developed for the propagation of the process emission from the workpiece to the monitoring module. The model is used to determine the field of view (FOV) around the monitored zone. The lens arrangements and the optical filters are chosen according to the model results. They were implemented to construct a monitoring module consisting of two cameras viewing visible and near-infrared wavelength bands, as well as a photodiode viewing the back-reflected laser emission, all integrated in a coaxial configuration. The system functionality is tested with a prototype SLM machine during the processing of 18Ni300 maraging steel, a material known to be prone to porosity. In particular, different remelting strategies were employed as possible correction strategies to reduce porosity. The signals were interpreted as being indicators of the change in absorptivity of the laser light by the powder bed, of the plasma and molten pool, as well as of the evolution of the temperature field.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleDesign and Implementation of a Multisensor Coaxial Monitoring System With Correction Strategies for Selective Laser Melting of a Maraging Steel
    typeJournal Paper
    journal volume140
    journal issue4
    journal titleJournal of Manufacturing Science and Engineering
    identifier doi10.1115/1.4038568
    journal fristpage41003
    journal lastpage041003-14
    treeJournal of Manufacturing Science and Engineering:;2018:;volume( 140 ):;issue: 004
    contenttypeFulltext
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