Detail publikace

Optimization of leveling process by a fast simulation algorithm

Originální název

Optimization of leveling process by a fast simulation algorithm

Anglický název

Optimization of leveling process by a fast simulation algorithm

Jazyk

en

Originální abstrakt

Optimization of cross-roll leveling of bars is a complicated problem, as the process itself is highly nonlinear and its simulation by standard FE software is limited by high CPU time demands. We present here a proce-dure which is based on Eulerian flow of material through the leveling machine. This strategy results in a very effective algorithm and program based on the Finite Element Method, written in MATLAB. Due to substan-tial shortening of CPU time, iterative repetition of the analysis for variable input parameters is possible and op-timal setting of straightening rollers intermeshing can be found by iterative optimization process.

Anglický abstrakt

Optimization of cross-roll leveling of bars is a complicated problem, as the process itself is highly nonlinear and its simulation by standard FE software is limited by high CPU time demands. We present here a proce-dure which is based on Eulerian flow of material through the leveling machine. This strategy results in a very effective algorithm and program based on the Finite Element Method, written in MATLAB. Due to substan-tial shortening of CPU time, iterative repetition of the analysis for variable input parameters is possible and op-timal setting of straightening rollers intermeshing can be found by iterative optimization process.

BibTex


@inproceedings{BUT115579,
  author="Jindřich {Petruška} and Tomáš {Návrat}",
  title="Optimization of leveling process by a fast simulation algorithm",
  annote="Optimization of cross-roll leveling of bars is a complicated problem, as the process itself is highly nonlinear and its simulation by standard FE software is limited by high CPU time demands. We present here a proce-dure which is based on Eulerian flow of material through the leveling machine. This strategy results in a very effective algorithm and program based on the Finite Element Method, written in MATLAB. Due to substan-tial shortening of CPU time, iterative repetition of the analysis for variable input parameters is possible and op-timal setting of straightening rollers intermeshing can be found by iterative optimization process.",
  address="IERI & PRESS",
  booktitle="Manufacturing Engineering and Technology for Manufacturing Growth",
  chapter="115579",
  howpublished="print",
  institution="IERI & PRESS",
  year="2015",
  month="august",
  pages="105--108",
  publisher="IERI & PRESS",
  type="conference paper"
}