A Numerically Effcient Method for the Prediction of Nitrogen Oxide Emissions in Industrial Furnaces
Publikationen: Beitrag in Fachzeitschrift › Artikel › Forschung › (peer-reviewed)
Standard
A Numerically Effcient Method for the Prediction of Nitrogen Oxide Emissions in Industrial Furnaces. / Spijker, Christoph; Swaminathan, Senthilathiban; Raupenstrauch, Harald.
in: Steel research international, Jahrgang 91.2020, Nr. 12, 2000239, 16.10.2020.
in: Steel research international, Jahrgang 91.2020, Nr. 12, 2000239, 16.10.2020.
Publikationen: Beitrag in Fachzeitschrift › Artikel › Forschung › (peer-reviewed)
Harvard
Spijker, C, Swaminathan, S & Raupenstrauch, H 2020, 'A Numerically Effcient Method for the Prediction of Nitrogen Oxide Emissions in Industrial Furnaces', Steel research international, Jg. 91.2020, Nr. 12, 2000239. https://doi.org/10.1002/srin.202000239
APA
Spijker, C., Swaminathan, S., & Raupenstrauch, H. (2020). A Numerically Effcient Method for the Prediction of Nitrogen Oxide Emissions in Industrial Furnaces. Steel research international, 91.2020(12), Artikel 2000239. https://doi.org/10.1002/srin.202000239
Vancouver
Spijker C, Swaminathan S, Raupenstrauch H. A Numerically Effcient Method for the Prediction of Nitrogen Oxide Emissions in Industrial Furnaces. Steel research international. 2020 Okt 16;91.2020(12):2000239. doi: 10.1002/srin.202000239
Author
Bibtex - Download
@article{dcb9d8b19f5f4c16b2938a937a5f392b,
title = "A Numerically Effcient Method for the Prediction of Nitrogen Oxide Emissions in Industrial Furnaces",
author = "Christoph Spijker and Senthilathiban Swaminathan and Harald Raupenstrauch",
year = "2020",
month = oct,
day = "16",
doi = "10.1002/srin.202000239",
language = "Deutsch",
volume = "91.2020",
journal = "Steel research international",
issn = "1611-3683",
publisher = "Verlag Stahleisen GmbH",
number = "12",
}
RIS (suitable for import to EndNote) - Download
TY - JOUR
T1 - A Numerically Effcient Method for the Prediction of Nitrogen Oxide Emissions in Industrial Furnaces
AU - Spijker, Christoph
AU - Swaminathan, Senthilathiban
AU - Raupenstrauch, Harald
PY - 2020/10/16
Y1 - 2020/10/16
U2 - 10.1002/srin.202000239
DO - 10.1002/srin.202000239
M3 - Artikel
VL - 91.2020
JO - Steel research international
JF - Steel research international
SN - 1611-3683
IS - 12
M1 - 2000239
ER -
