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@article{54362,
author = {Kmec, Ján and Gombár, M. and Harničárová, Marta and Valíček, Jan and Kušnerová, Milena and Kříž, J. and Kadnár, M. and Karková, Monika and Vagaská, A.},
article_location = {Switzerland},
article_number = {9},
doi = {http://dx.doi.org/10.3390/app10093159},
keywords = {Abrasive mass flow; Abrasive nozzle diameter; Abrasive water jet; Cutting head feed rate; High-pressure water flow; Material thickness; Stainless steel; Surface roughness},
language = {eng},
issn = {2076-3417},
journal = {Applied Sciences (Switzerland)},
title = {The predictive model of surface texture generated by abrasivewater jet for austenitic steels},
url = {https://www.mdpi.com/2076-3417/10/9/3159},
volume = {10},
year = {2020}
}
TY - JOUR
ID - 54362
AU - Kmec, Ján - Gombár, M. - Harničárová, Marta - Valíček, Jan - Kušnerová, Milena - Kříž, J. - Kadnár, M. - Karková, Monika - Vagaská, A.
PY - 2020
TI - The predictive model of surface texture generated by abrasivewater jet for austenitic steels
JF - Applied Sciences (Switzerland)
VL - 10
IS - 9
SP - nestránkováno
EP - nestránkováno
PB - MDPI AG
SN - 20763417
KW - Abrasive mass flow
KW - Abrasive nozzle diameter
KW - Abrasive water jet
KW - Cutting head feed rate
KW - High-pressure water flow
KW - Material thickness
KW - Stainless steel
KW - Surface roughness
UR - https://www.mdpi.com/2076-3417/10/9/3159
L2 - https://www.mdpi.com/2076-3417/10/9/3159
N2 - Austenitic stainless steel belongs to the best oxidation-resistant alloys, which must function effectively and reliably when used in a corrosion environment. Their attractive combination of properties ensures their stable position in the steel industry. They belong to a group of difficult-to-cut materials, and the abrasive water jet cutting technology is often used for their processing. Samples made of stainless steel AISI 304 has been used as the experimental material. Data generated during experiments were used to study the effects of AWJ process parameters (high-pressure water volume flow rate, the diameter of the abrasive nozzle, the distance of the nozzle from the material surface, cutting head feed rate, abrasive mass flow, and material thickness) on surface roughness. Based on the analysis and interpretation of all data, a prediction model was created. The main goal of the long-term research was to create the simplest and most usable prediction model for the group of austenitic steels, based on the evaluation of the practical results obtained in the companyWatting Ltd. (Budovatel'ska 3598/38, Presov, Slovakia) during 20 years of operation and cooperation with customers from industrial practice. Based on specific customer requirements from practice, the publication also contains specific recommendations for practice and a proposal for the classification of the predicted cut quality.
ER -
KMEC, Ján, M. GOMBÁR, Marta HARNIČÁROVÁ, Jan VALÍČEK, Milena KUŠNEROVÁ, J. KŘÍŽ, M. KADNÁR, Monika KARKOVÁ and A. VAGASKÁ. The~predictive~model~of~surface~texture~generated~by abrasivewater~jet~for~austenitic~steels. \textit{Applied Sciences (Switzerland)}. Switzerland: MDPI AG, vol.~10, No~9, p.~nestránkováno, 22 pp. ISSN~2076-3417. doi:10.3390/app10093159. 2020.
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