Multi-variable relationships in a batch annealing process

David J. Scott, Ken Russell, Judi Scheffer

Research output: Book chapter/Published conference paperConference paper

53 Downloads (Pure)

Abstract

Empirical models are developed to predict the mechanical properties of fourgroups of cold-rolled annealed steels, based on upstream processing variables in thehot-rolling process, annealing conditions, the chemical composition of the steel andproduct details. Various linear models are considered but the simplest approach ofusing a multiple linear regression model is considered the most satisfactory. Thisanalytical tool will allow better understanding of the steel making process and theability to vary input parameters to improve the product. In particular the numberof coils which fail mechanical testing may be able to be reduced, with a subsequentfall in production costs.
Original languageEnglish
Title of host publicationMathematics in Industry Study Group 2006
EditorsGraeme Wake
PublisherANZAIM
Pages33-55
Number of pages23
Publication statusPublished - 2006
Event23rd Australian and New Zealand Mathematics in Industry Study Group MISG - Massey University, Auckland, New Zealand
Duration: 30 Jan 200603 Feb 2006

Conference

Conference23rd Australian and New Zealand Mathematics in Industry Study Group MISG
CountryNew Zealand
Period30/01/0603/02/06

Fingerprint Dive into the research topics of 'Multi-variable relationships in a batch annealing process'. Together they form a unique fingerprint.

Cite this