Continuous caster final electromagnetic stirrers position optimization using genetic programming

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@Article{Kovacic:2023:MMP,

• author = "Miha Kovacic and Uros Zuperl",
• title = "Continuous caster final electromagnetic stirrers position optimization using genetic programming",
• journal = "Materials and Manufacturing Processes",
• year = "2023",
• volume = "38",
• number = "16",
• pages = "2009--2017",
• keywords = "genetic algorithms, genetic programming",
• publisher = "Taylor \& Francis",
• eprint = "https://doi.org/10.1080/10426914.2023.2219317",
• DOI = "doi:10.1080/10426914.2023.2219317",
• abstract = "In January 2022 final electromagnetic stirrers were installed to improve billets macrostructure and to reduce defects in STORE STEEL, Slovenia. From January to September 2022 the material from 1121 batches, out of 2284 batches produced, was examined using ultrasonic testing. Among these 1121 batches, 270 batches were detected with defects larger than 2.5 millimeters. Based on various metallurgical reports made from samples taken after an ultrasonic inspection, the root causes were found to be shrinkage porosity and segregations. Based on the gathered parameters from this period (chemical composition, casting parameters, cooling or heating parameters of billets), the occurrence of inner defects was predicted using logistic regression and genetic programming. The genetic programming proved to be better than logistic regression. Based on modeling results, optimization of the final electromagnetic stirrers position for 51CrV4 spring steel was conducted. Consequently, out of 41 examined batches, only 2 were detected with defects larger than 0.1 inch.",

}

Genetic Programming entries for Miha Kovacic Uros Zuperl

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