2005
DOI: 10.1007/s11837-005-0149-3
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The predictive control of furnace tapblock operation using CFD and PCA modeling

Abstract: An advanced, predictive technique has been developed using principal component analysis (PCA) together with computational fl uid dynamics (CFD) modeling to provide real-time monitoring and assessment of the performance and integrity of a water-cooled tapblock in a smelting furnace. A CFD model of a tapblock was built to simulate its thermal response to metal tapping for a range of furnace operating conditions and to assess the impact of process variations that are detrimental to furnace integrity. This informa… Show more

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Cited by 4 publications
(2 citation statements)
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“…In response to difficulties and risks in the timeous detection of a significant tap-block temperature rise (see Dedicated metal/matte tapping section), other more advanced monitoring and diagnostic systems have been pursued, including principal component analysis (PCA), to try to provide some advanced view of the development of some abnormal tap-hole conditions (Gerritsen et al, 2009;Plikas et al, 2005;pers. comm., 2010), and tap-hole acoustic monitoring (TAM), which has the potential to identify the development of off-centre lancing (Sadri et al, 2008;Wasmund, 2003;pers.…”
mentioning
confidence: 99%
“…In response to difficulties and risks in the timeous detection of a significant tap-block temperature rise (see Dedicated metal/matte tapping section), other more advanced monitoring and diagnostic systems have been pursued, including principal component analysis (PCA), to try to provide some advanced view of the development of some abnormal tap-hole conditions (Gerritsen et al, 2009;Plikas et al, 2005;pers. comm., 2010), and tap-hole acoustic monitoring (TAM), which has the potential to identify the development of off-centre lancing (Sadri et al, 2008;Wasmund, 2003;pers.…”
mentioning
confidence: 99%
“…The type of responses from the Portovesme smelter allowed for tap-block diagnostic systems to be developed as described by Plikas et al (2005) utilizing computational fluid dynamics (CFD) and principal component analysis (PCA). This would allow for the detection of statistical variation in the tapping response.…”
mentioning
confidence: 99%