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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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