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Parametric analysis of SLM using comprehensive optical monitoring
Université de Lyon, FRA.
Moscow State Technological University, RUS.
Moscow State Technological University, RUS.
Université de Lyon, FRA.
2016 (English)In: Rapid prototyping journal, ISSN 1355-2546, E-ISSN 1758-7670, Vol. 22, no 1, p. 40-50Article in journal (Refereed) Published
Abstract [en]

Purpose - This paper aims to propose methods for on-line monitoring and process quality assurance of Selective Laser Melting (SLM) technology as a competitive advantage to enhance its implementation into modern manufacturing industry.

Design/methodology/approach - Monitoring of thermal emission from the laser impact zone was carried out by an originally developed pyrometer and a charge-coupled device (CCD) camera which were integrated with the optical system of the PHENIX PM-100 machine. Experiments are performed with variation of the basic process parameters such as powder layer thickness (0-120 mu m), hatch distance (60-1,000 mu m) and fabrication strategy (the so-called "one-zone" and "two-zone").

Findings - The pyrometer signal from the laser impact zone and the 2D temperature mapping from HAZ are rather sensible to variation of high-temperature phenomena during powder consolidation imposed by variation of the operational parameters.

Research limitations/implications - Pyrometer measurements are in arbitrary units. This limitation is due to the difficulty to integrate diagnostic tools into the optical system of a commercial SLM machine.

Practical implications - Enhancement of SLM process stability and efficiency through comprehensive optical diagnostics and on-line control.

Originality/value - High-temperature phenomena in SLM were monitored coaxially with the laser beam for variation of several operational parameters.

Place, publisher, year, edition, pages
Emerald Group Publishing Limited, 2016. Vol. 22, no 1, p. 40-50
Keywords [en]
Industrial and Manufacturing Engineering, Mechanical Engineering
National Category
Manufacturing, Surface and Joining Technology
Research subject
Materials Science
Identifiers
URN: urn:nbn:se:kau:diva-87721DOI: 10.1108/rpj-04-2014-0046ISI: 000375232100004OAI: oai:DiVA.org:kau-87721DiVA, id: diva2:1618309
Available from: 2021-12-09 Created: 2021-12-09 Last updated: 2021-12-09Bibliographically approved

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Zhirnov, Ivan

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