Multi-variable relationships in a batch annealing process

Show simple item record Scott, David en Russell, K en Scheffer, J en
dc.contributor.editor Wake, G en
dc.coverage.spatial Massey University en 2012-05-15T03:58:44Z en 2006 en
dc.identifier.citation Mathematics in Industry Study Group, Massey University, 30 Jan 2006 - 03 Feb 2006. Editors: Wake G. Proceedings of the Mathematics-In-Industry Study Group. 33-55. 2006 en
dc.identifier.uri en
dc.description.abstract Empirical models are developed to predict the mechanical properties of four groups of cold-rolled annealed steels, based on upstream processing variables in the hot-rolling process, annealing conditions, the chemical composition of the steel and product details. Various linear models are considered but the simplest approach of using a multiple linear regression model is considered the most satisfactory. This analytical tool will allow better understanding of the steel making process and the ability to vary input parameters to improve the product. In particular the number of coils which fail mechanical testing may be able to be reduced, with a subsequent fall in production costs. en
dc.description.uri en
dc.relation.ispartof Mathematics in Industry Study Group en
dc.relation.ispartofseries Proceedings of the Mathematics-In-Industry Study Group en
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. en
dc.rights.uri en
dc.title Multi-variable relationships in a batch annealing process en
dc.type Conference Item en
pubs.begin-page 33 en
pubs.end-page 55 en
pubs.finish-date 2006-02-03 en
pubs.start-date 2006-01-30 en
dc.rights.accessrights en
pubs.subtype Proceedings en
pubs.elements-id 97872 en Medical and Health Sciences en Population Health en Epidemiology & Biostatistics en
pubs.record-created-at-source-date 2010-09-01 en

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