Publication detail

Optimal intermeshing of multi roller cross roll straightening machine

PETRUŠKA, J. NÁVRAT, T. ŠEBEK, F. BENEŠOVSKÝ, M.

Original Title

Optimal intermeshing of multi roller cross roll straightening machine

English Title

Optimal intermeshing of multi roller cross roll straightening machine

Type

conference paper

Language

en

Original Abstract

The paper deals with optimal setting of intermeshing parameters in multi roller cross roll straightening machine. The procedure is based on a fast algorithm of the straightening process simulation, which leads to an efficient analysis of the process for many combinations of intermeshing parameters, selected at random. Multi-objective optimization is then realized over the obtained response variables. Presented example shows the potential of the suggested solution strategy.

English abstract

The paper deals with optimal setting of intermeshing parameters in multi roller cross roll straightening machine. The procedure is based on a fast algorithm of the straightening process simulation, which leads to an efficient analysis of the process for many combinations of intermeshing parameters, selected at random. Multi-objective optimization is then realized over the obtained response variables. Presented example shows the potential of the suggested solution strategy.

Keywords

cross roll straightening; intermeshing; multi-objective optimization

Released

19.10.2016

ISBN

978-0-7354-1427-3

Book

AIP Conference Proceedings 1769

Pages from

120002-1

Pages to

120002-4

Pages count

4

BibTex


@inproceedings{BUT129124,
  author="Jindřich {Petruška} and Tomáš {Návrat} and František {Šebek} and Marek {Benešovský}",
  title="Optimal intermeshing of multi roller cross roll straightening machine",
  annote="The paper deals with optimal setting of intermeshing parameters in multi roller cross roll straightening machine. The procedure is based on a fast algorithm of the straightening process simulation, which leads to an efficient analysis of the process for many combinations of intermeshing parameters, selected at random. Multi-objective optimization is then realized over the obtained response variables. Presented example shows the potential of the suggested solution strategy.",
  booktitle="AIP Conference Proceedings 1769",
  chapter="129124",
  doi="10.1063/1.4963517",
  howpublished="print",
  year="2016",
  month="october",
  pages="120002-1--120002-4",
  type="conference paper"
}