Research and optimization of surface roughness in milling of SLM semi-finished parts manufactured by using the different laser scanning speed
Authors:
- Andrzej Matras
Abstract
The paper studies the potential to improve the surface roughness in parts manufactured in the Selective Laser Melting (SLM) process by using additional milling. The studied process was machining of samples made of the AlSi10Mg alloy powder. The simultaneous impacts of the laser scanning speed of the SLM process and the machining parameters of the milling process (such as the feed rate and milling width) on the surface roughness were analyzed. A mathematical model was created as a basis for optimizing the parameters of the studied processes and for selecting the sets of optimum solutions. As a result of the research, surface with low roughness (Ra = 0.14 μm, Rz = 1.1 μm) was obtained after the face milling. The performed milling allowed to reduce more than 20-fold the roughness of the SLM sample surfaces. The feed rate and the cutting width increase resulted in the surface roughness deterioration. Some milled surfaces were damaged by the chip adjoining to the rake face of the cutting tool back tooth.
- Record ID
- CUTc17b75be1988454f83fddde39081a4c7
- Publication categories
- ;
- Author
- Other language title versions
- Research and optimization of surface roughness in milling of SLM semi-finished parts manufactured by using the different laser scanning speed
- Journal series
- Materials, ISSN , e-ISSN 1996-1944, Biweekly
- Issue year
- 2020
- Vol
- 13
- No
- 1
- Pages
- [1-10]
- Article number
- 9
- Other elements of collation
- rys.; tab.; wykr.; Bibliografia (na s.) - 9-10; Bibliografia (liczba pozycji) - 24; Oznaczenie streszczenia - Abstr.; Numeracja w czasopiśmie - Vol. 13, Iss. 1
- Keywords in English
- face milling, surface roughness, SLM, AlSi10Mg
- DOI
- DOI:10.3390/ma13010009 Opening in a new tab
- URL
- https://www.mdpi.com/1996-1944/13/1/9 Opening in a new tab
- Language
- eng (en) English
- License
- Score (nominal)
- 140
- Additional fields
- Indeksowana w: Web of Science, Scopus
- Uniform Resource Identifier
- https://cris.pk.edu.pl/info/article/CUTc17b75be1988454f83fddde39081a4c7/
- URN
urn:pkr-prod:CUTc17b75be1988454f83fddde39081a4c7
* presented citation count is obtained through Internet information analysis, and it is close to the number calculated by the Publish or PerishOpening in a new tab system.