Transportation Research Procedia, volume 40, pages 144-149
Research on parameters optimization for the Additive Manufacturing process
1
Slovak University of Technology in Bratislava, Faculty of Mechanical Engineering, Nam. Slobody 17, 812 31 Bratislava, Slovak Republic
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Publication type: Journal Article
Publication date: 2019-07-30
Journal:
Transportation Research Procedia
Quartile SCImago
— Quartile WOS
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Impact factor: —
ISSN: 23521457, 23521465, 23521465
Abstract
Additive technologies play a significant role in research institutions as well as in the manufacturing sphere. It is also commonly used in the field of transport for preparation of prototype models of final use parts. The own additive manufacturing devices are very easy to operate. However, sufficient experience is needed to achieve the desired result. The operator have to know the basic knowledge and relations. Presented paper deals with operational parameters which influence the production process in additive manufacturing and quality of produced components by Fused Deposition Modeling (FDM) technology. There are many of parameters which influence the final quality of produced parts, but also own production process. Paper describe the whole experimental evaluation of input parameters for digital model pre-processing with regards to examining measured strength parameters of produces parts, including the quality parameters, as roughness and accuracy. Measured values are statistically evaluated.
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Beniak J. et al. Research on parameters optimization for the Additive Manufacturing process // Transportation Research Procedia. 2019. Vol. 40. pp. 144-149.
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Beniak J., Holdy M., Križan P., Matúš M. Research on parameters optimization for the Additive Manufacturing process // Transportation Research Procedia. 2019. Vol. 40. pp. 144-149.
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TY - JOUR
DO - 10.1016/j.trpro.2019.07.024
UR - https://doi.org/10.1016/j.trpro.2019.07.024
TI - Research on parameters optimization for the Additive Manufacturing process
T2 - Transportation Research Procedia
AU - Beniak, Juraj
AU - Holdy, Michal
AU - Križan, Peter
AU - Matúš, Miloš
PY - 2019
DA - 2019/07/30
PB - Elsevier
SP - 144-149
VL - 40
SN - 2352-1457
SN - 2352-1465
SN - 2352-1465
ER -
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@article{2019_Beniak,
author = {Juraj Beniak and Michal Holdy and Peter Križan and Miloš Matúš},
title = {Research on parameters optimization for the Additive Manufacturing process},
journal = {Transportation Research Procedia},
year = {2019},
volume = {40},
publisher = {Elsevier},
month = {jul},
url = {https://doi.org/10.1016/j.trpro.2019.07.024},
pages = {144--149},
doi = {10.1016/j.trpro.2019.07.024}
}