- author = "Miha Kovacic and Uros Zuperl and Leo Gusel and Miran Brezocnik",
- title = "Reduction of surface defects by optimization of casting speed using genetic programming: An industrial case study",
- journal = "Advances in Production Engineering \& Management",
- year = "2023",
- volume = "18",
- number = "4",
- pages = "501--511",
- month = dec,
- keywords = "genetic algorithms, genetic programming, Continuous casting of steel, Surface defects, Automatic control, Machine learning, Modeling, Optimization, Prediction, Linear regression",
- ISSN = "1854-6250",
-
URL = "
https://apem-journal.org/Archives/2023/Abstract-APEM18-4_501-511.html",
-
URL = "
https://apem-journal.org/Archives/2023/APEM18-4_501-511.pdf",
-
DOI = "
doi:10.14743/apem2023.4.488",
- size = "11 pages",
- abstract = "Store Steel Ltd. produces more than 200 different types of steel with a continuous caster installed in 2016. Several defects, mostly related to thermomechanical behaviour in the mould, originate from the continuous casting process. The same casting speed of 1.6 m/min was used for all steel grades. In May 2023, a project was launched to adjust the casting speed according to the casting temperature. This adjustment included the steel grades with the highest number of surface defects and different carbon content: 16MnCrS5, C22, 30MnVS5, and 46MnVS5. For every 10 degree Centigrade deviation from the prescribed casting temperature, the speed was changed by 0.02 m/min. During the 2-month period, the ratio of rolled bars with detected surface defects (inspected by an automatic control line) decreased for the mentioned steel grades. The decreases were from 11.27 percent to 7.93 percent, from 12.73 percent to 4.11 percent, from 16.28 percent to 13.40 percent, and from 25.52 percent to 16.99 percent for 16MnCrS5, C22, 30MnVS5, and 46MnVS5, respectively. Based on the collected chemical composition and casting parameters from these two months, models were obtained using linear regression and genetic programming. These models predict the ratio of rolled bars with detected surface defects and the length of detected surface defects. According to the modelling results, the ratio of rolled bars with detected surface defects and the length of detected surface defects could be minimally reduced by 14 percent and 189 percent, respectively, using casting speed adjustments. A similar result was achieved from July to November 2023 by adjusting the casting speed for the other 27 types of steel. The same was predicted with the already obtained models. Genetic programming outperformed linear regression.",
-
notes = "STORE STEEL, d.o.o., Research and Development, Store,
Slovenia
http://apem-journal.org CPE, University of Maribor, Slomskov trg 15, SI 2000 Maribor, Slovenia",
