Optimisation of total roll power using genetic algorithms in a compact strip production plant
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Itziar Marquez
, Maribel Arribas , Ana Carrillo and Jose Luis Arana
The application of optimisation techniques to hot rolling models can lead to the more efficient use of these models. In this work, a genetic algorithm has been used in order to design new hot rolling schedules with lower energy consumption through a reduction in the total roll power. Firstly, mean flow stress has been modelled for several Nb microalloyed steels produced in a compact strip production plant taking into account recrystallisation and precipitation models. The selected mean flow stress model has been validated against the values obtained from the industrial hot rolling forces using the Sims approach. Secondly, the model has been integrated with a genetic optimisation algorithm and new reductions have been proposed in order to decrease the total rolling power, maintaining all the requirements. The reductions achieved can be up to 10%.
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Articles in the same Issue
- Contents
- Contents
- Award/Preisverleihung
- The Werner-Köster-Preis 2012
- Original Contributions
- Effect of microstructure on the wear resistance of borided Fe–Cr alloys
- Microstructure evolution in pure aluminium processed by equal channel angular pressing at elevated temperature
- Interfacial reactions between SAC405 and SACNG lead-free solders with Au/Ni(P)/Cu substrate reflowed using the CO2 laser and hot-air methods
- Experimental determination of the phase relations of the Co–Pt–Dy system at 773 K
- Boron partitioning between SiO2–CaO–MgO slags and liquid silicon at controlled nitrogen potential
- Thermally activated redox-processes in V2O5-x under high oxygen partial pressures investigated by means of impedance spectroscopy and Rutherford backscattering
- Effect of aluminium addition on densification behaviour and microstructural features of P/M processed Cu–TiC composites
- Effect of ZrO2 impurity on promoting reactive sintering of ZrB2–SiC–ZrC composites
- Magnetic and electric properties of nanoparticles of Ni-substituted ferrites synthesized using a microwave refluxing process
- Optimisation of total roll power using genetic algorithms in a compact strip production plant
- Modeling the correlation between yield strength, chemical composition and ultimate tensile strength of X70 pipeline steels by means of gene expression programming
- DGM News
- DGM News
Articles in the same Issue
- Contents
- Contents
- Award/Preisverleihung
- The Werner-Köster-Preis 2012
- Original Contributions
- Effect of microstructure on the wear resistance of borided Fe–Cr alloys
- Microstructure evolution in pure aluminium processed by equal channel angular pressing at elevated temperature
- Interfacial reactions between SAC405 and SACNG lead-free solders with Au/Ni(P)/Cu substrate reflowed using the CO2 laser and hot-air methods
- Experimental determination of the phase relations of the Co–Pt–Dy system at 773 K
- Boron partitioning between SiO2–CaO–MgO slags and liquid silicon at controlled nitrogen potential
- Thermally activated redox-processes in V2O5-x under high oxygen partial pressures investigated by means of impedance spectroscopy and Rutherford backscattering
- Effect of aluminium addition on densification behaviour and microstructural features of P/M processed Cu–TiC composites
- Effect of ZrO2 impurity on promoting reactive sintering of ZrB2–SiC–ZrC composites
- Magnetic and electric properties of nanoparticles of Ni-substituted ferrites synthesized using a microwave refluxing process
- Optimisation of total roll power using genetic algorithms in a compact strip production plant
- Modeling the correlation between yield strength, chemical composition and ultimate tensile strength of X70 pipeline steels by means of gene expression programming
- DGM News
- DGM News