Sampling Tool for In-Depth Study of Furnace Processes

Autor:	Daniel Krings, Mark Badowski, Stephen Instone
Rok vydání:	2014
Předmět:	Flexibility (engineering) Operational performance Waste management Computer science business.industry Sampling (statistics) Process engineering business Three dimensional geometry
Zdroj:	Light Metals 2014 ISBN: 9783319485904 Light Metals 2014
DOI:	10.1007/978-3-319-48144-9_166
Popis:	The need for ever more efficient and reproducible processes in furnace operations is increasing. Conversely the development trend is towards more complexity in furnace technology and flexibility in input material capability. These demands have produced a startlingly large number of furnace designs and operational strategies. To better understand the various metallurgical processes occurring in the furnace and the potential operational and economic impact of changes to the furnace technology, operation or input material, a simple, but robust technology to selectively take samples throughout the three dimensional geometry of the melt has been developed. This allows the construction of a time dependent 3-D performance map of the furnace which can be used to optimize operational performance, economics or in combination with simulation techniques compare different furnace technologies and operational strategies. This paper introduces the sampling technology and presents results of a small demonstration study
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::15d8ca4dc52e5641fa129d32b22e10df https://doi.org/10.1007/978-3-319-48144-9_166 Zobrazit plný text záznamu