A Numerically Effcient Method for the Prediction of Nitrogen Oxide Emissions in Industrial Furnaces

Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Begutachtung

Originalsprache	Deutsch
Aufsatznummer	2000239
Seitenumfang	3
Fachzeitschrift	Steel research international
Jahrgang	91.2020
Ausgabenummer	12
DOIs	https://doi.org/10.1002/srin.202000239
Publikationsstatus	Veröffentlicht - 16 Okt. 2020

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@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",

}

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

SN - 1611-3683

VL - 91.2020

JO - Steel research international

JF - Steel research international

IS - 12

M1 - 2000239

ER -