Online prediction and optimisation of shape of cold rolled sheet for better dimensional control
Levelling
DOI:
10.1179/174328107x225143
Publication Date:
2008-05-09T02:52:59Z
AUTHORS (4)
ABSTRACT
The dimensional quality of cold rolled sheets is very important for its usage in automotive, packaging and white goods industries. To predict strip shape a partial least square (PLS) regression model has been developed validated with actual plant data. was then used to optimise the process parameters reduce magnitude errors. most responsible defects have identified from large number input parameters. With help it found that apart tensions speeds at different stands, levelling last stand plays an role controlling shape. can be online, useful operation.
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