Optimization of Steel Microstructure during Lamniar Cooling

• Author / Creator

  Bineshmarvasti, Baher

• Optimization techniques, in conjunction with a finite element thermal model, are used in this thesis to optimize the temperature profile (i.e. cooling rate and coiling temperature) of a steel skelp during laminar cooling. Optimization parameters include skelp velocity, laminar cooling bank configuration, as well as side-spray conditions. The optimization techniques include two stochastic optimization methods (Genetic Algorithms and Particle swarm optimization) and one deterministic method (The branch-and-bound). A comparison between optimization methods showed that the branch-and-bound method can achieve global optimum faster than the stochastic techniques. The branch-and-bound method was used to set the coiling temperature, using three different cooling strategies (early, late and constant cooling), to reach the specified coiling temperature (550°C). Also the temperature profile optimizations was done, in order to maximize volume of the steel strip, which cool through a desired zone in Continues cooling transformation diagram, was done using branch-and-bound method.

• Subjects / Keywords

  • Steel
  • Run out table
  • Laminar Cooling
  • Optimization
  • Genetic Algorithms
  • PSO
  • Branch and Bound

• Graduation date

  Fall 2011

• Type of Item

  Thesis

• Degree

  Master of Science

• DOI

  https://doi.org/10.7939/R3PH1M

• License

  This thesis is made available by the University of Alberta Libraries with permission of the copyright owner solely for non-commercial purposes. This thesis, or any portion thereof, may not otherwise be copied or reproduced without the written consent of the copyright owner, except to the extent permitted by Canadian copyright law.