| Record ID | marc_columbia/Columbia-extract-20221130-031.mrc:131484902:3960 |
| Source | marc_columbia |
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001 15094545
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008 131115s2010 flua ob 001 0 eng d
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020 $a9781439883020$q(electronic bk.)
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020 $a9781420062441
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020 $z9781420062434$q(hard back ;$qalk. paper)
020 $z1420062433$q(hard back ;$qalk. paper)
024 3 $a9781420062441
024 7 $a10.1201/b15828$2doi
035 $a(OCoLC)863056096$z(OCoLC)899155189$z(OCoLC)903956281$z(OCoLC)960708801$z(OCoLC)965983765$z(OCoLC)992054079$z(OCoLC)994894999$z(OCoLC)1031048364$z(OCoLC)1058560049$z(OCoLC)1064901830$z(OCoLC)1086534331$z(OCoLC)1202484212
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100 1 $aMazumdar, Dipak,$d1932-
245 10 $aModeling of steelmaking processes /$cDipak Mazumdar, James W. Evans.
260 $aBoca Raton, Fla. :$bCRC Press,$c©2010.
300 $a1 online resource (xxix, 463 pages) :$billustrations
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
347 $adata file
500 $a"A CRC title."
504 $aIncludes bibliographical references and index.
588 0 $aPrint version record.
505 0 $aCh. 1. Steelmaking, modeling, and measurements -- ch. 2. Knowledge-based foundation of steelmaking -- ch. 3. Elements of physical modeling -- ch. 4. Elements of mathematical modeling -- ch. 5. Mathematical modeling I : fluid flow -- ch. 6. Mathematical modeling II : liquid-state processing operations -- ch. 7. Mathematical modeling III : solid-state processing operations -- ch. 8. Mathematical modeling IV : macroscopic modeling of ladle metallurgy steelmaking -- ch. 9. Intelligent modeling : neural network and genetic algorithm in steelmaking -- ch. 10. Practice sessions on physical and mathematical modeling.
520 $aFrom the prediction of complex weather patterns to the design of swimsuits, modeling has, over the years, quietly but steadily become an essential part of almost every field and industry-and steelmaking is no exception. Factors such as visual opacity, high operating temperature, and the relatively large size of industrial reactors often preclude direct experimental observation in steel manufacturing. Therefore the industry is overwhelmingly dependent on modeling to quickly and cost-effectively provide insight into analysis, design, optimization, and control of processing. However, few, if any,
546 $aEnglish.
650 0 $aSteel$xMetallurgy$xMathematical models.
650 6 $aAcier$xMétallurgie$xModèles mathématiques.
650 7 $aTECHNOLOGY & ENGINEERING$xMetallurgy.$2bisacsh
650 7 $aSteel$xMetallurgy$xMathematical models.$2fast$0(OCoLC)fst01132528
700 1 $aEvans, James W.,$d1943-
776 08 $iPrint version:$aMazumdar, Dipak, 1932-$tModeling of steelmaking processes.$dBoca Raton, FL : CRC Press, ©2010$z9781420062434$w(DLC) 2009021688$w(OCoLC)154683847
856 40 $uhttp://www.columbia.edu/cgi-bin/cul/resolve?clio15094545$zTaylor & Francis eBooks
852 8 $blweb$hEBOOKS