Influence of Selective Laser Melting Technology Process Parameters on Porosity and Hardness of AISI H13 Tool Steel: Statistical Approach
| Autor: | Michal Ackermann, Václav Bittner, Filip Vele, Jiří Šafka |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
0209 industrial biotechnology
Work (thermodynamics) Factorial Technology Materials science 02 engineering and technology engineering.material Article SLM 020901 industrial engineering & automation 0203 mechanical engineering tool steel DOE General Materials Science Composite material Selective laser melting Porosity Microscopy QC120-168.85 H13 QH201-278.5 Process (computing) Engineering (General). Civil engineering (General) Power (physics) TK1-9971 020303 mechanical engineering & transports Descriptive and experimental mechanics Tool steel engineering Energy density Selective Laser Melting Electrical engineering. Electronics. Nuclear engineering TA1-2040 additive manufacturing |
| Zdroj: | Materials, Vol 14, Iss 6052, p 6052 (2021) Materials Volume 14 Issue 20 |
| ISSN: | 1996-1944 |
| Popis: | The correct setting of laser beam parameters and scanning strategy for Selective Laser Melting (SLM) technology is a demanding process. Usually, numerous experimental procedures must be taken before the final strategy can be applied. The presented work deals with SLM technology and the impact of its technological parameters on the porosity and hardness of AISI H13 tool steel. In this study, we attempted to map the dependency of porosity and hardness of the tested tool steel on a broad spectrum of scanning speed—laser power combinations. Cubic samples were fabricated under parameters defined by full factorial DOE, and metallurgic specimens were prepared for measurement of the two studied quantities. The gathered data were finally analyzed, and phenomenological models were proposed. Analysis of the data revealed a minimal energy density of 100.3 J/mm3 was needed to obtain a dense structure with a satisfactory hardness level. Apart from this, the model may be used for approximation of non-tested combinations of input parameters. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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