Modeling the correlation between yield strength, chemical composition and ultimate tensile strength of X70 pipeline steels by means of gene expression programming
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Gholamreza Khalaj
and Mohammad-Javad Khalaj
In the present work, the ultimate tensile strength of steel made using thermomechanically controlled processing has been modeled by means of gene expression programming. To build the model, training and testing using experimental results from 104 specimens were conducted. The data used as inputs in gene expression programming models are arranged in a format of six parameters that cover the carbon equivalent, based upon the International Institute of Welding equation and the chemical portion of the Ito-Bessyo equation, the sum of the Nb, V, and Ti, the sum of the Nb and V, the sum of the Cr, Mo, Ni, and Cu contents and yield strength. The training and testing results in gene expression programming models have shown a strong potential for correlating the ultimate tensile strength to yield strength and chemical composition of X70 pipeline steels.
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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