Classification of materials for selective laser melting by laser-induced breakdown spectroscopy

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26620%2F18%3APU129180" target="_blank" >RIV/00216305:26620/18:PU129180 - isvavai.cz</a>

Výsledek na webu

<a href="https://link.springer.com/article/10.1007%2Fs11696-018-0609-1" target="_blank" >https://link.springer.com/article/10.1007%2Fs11696-018-0609-1</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s11696-018-0609-1" target="_blank" >10.1007/s11696-018-0609-1</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Classification of materials for selective laser melting by laser-induced breakdown spectroscopy

Popis výsledku v původním jazyce

In the present work, we introduce a possibility to improve the rapid prototyping process of selective laser melting (SLM) using laser-induced breakdown spectroscopy (LIBS) which provides a material analysis. SLM uses many disparate materials for manufacturing of parts. The elemental composition of raw materials and constructed parts is obtained from a characteristic spectrum, which is a result of LIBS measurement. We compared a high-end LIBS instrumentation with a low-cost one; the latter could be easily implemented to a SLM device. The measured data were processed using multivariate data analysis algorithms. First, the principal component analysis was employed for a visualization and dimensionality reduction. Second, the reduced data set was classified using support vector machines. Moreover, we have suggested a procedure for an automatized classification of materials and parts during the SLM process without any supervision of a spectroscopy-specialist.

Název v anglickém jazyce

Classification of materials for selective laser melting by laser-induced breakdown spectroscopy

Popis výsledku anglicky

In the present work, we introduce a possibility to improve the rapid prototyping process of selective laser melting (SLM) using laser-induced breakdown spectroscopy (LIBS) which provides a material analysis. SLM uses many disparate materials for manufacturing of parts. The elemental composition of raw materials and constructed parts is obtained from a characteristic spectrum, which is a result of LIBS measurement. We compared a high-end LIBS instrumentation with a low-cost one; the latter could be easily implemented to a SLM device. The measured data were processed using multivariate data analysis algorithms. First, the principal component analysis was employed for a visualization and dimensionality reduction. Second, the reduced data set was classified using support vector machines. Moreover, we have suggested a procedure for an automatized classification of materials and parts during the SLM process without any supervision of a spectroscopy-specialist.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

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OECD FORD obor

10306 - Optics (including laser optics and quantum optics)

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2019

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Chemical Papers

ISSN

0366-6352

e-ISSN

1336-9075

Svazek periodika

1

Číslo periodika v rámci svazku

10

Stát vydavatele periodika

SK - Slovenská republika

Počet stran výsledku

9

Strana od-do

2897-2905

Kód UT WoS článku

000488930200003

EID výsledku v databázi Scopus

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