Process Optimization in Metallurgy Based on Technological Maps

Josef Tošenovský, Filip Tošenovský

Abstract

Regulation of technological processes has usually the following objective: it tries to find levels of process inputs which lead to a desired process output. Problems occur when such levels are changed when the process is running. In such cases, the levels of the other inputs generally cease to be optimal, and the output level is consequently not desirable either. The paper demonstrates a method which calculates a region optimal for regulation instead of the optimal values. A major advantage of the method is that a change in the value of one of the parameters does not have any effect on the output. If a value of a parameter changes in the optimal region, there is no need to change the other parameters. It is also possible to work with an optimal region, taking into account the minimal variability of the output, as is demonstrated in the paper. The method is illustrated in the field of steel production.

References

Myers, R. H., Montgomery, D. C. and Anderson-Cook, C.M., 2009. Response Surface Methodology. New Jersey: John Wiley and Sons.

Raszka, J., 2001. Design of Experiments and its Application in Třinecké Železárny Ironworks. PhD. VSB-Technical University of Ostrava, Czech Republic [In Czech].

Tošenovský, J., Tošenovský, F. and Kudělka, O., 2013. Analysis of Robust Technology Design Methods. In: Proceedings of the 22nd International Conference on Metallurgy and Material Engineering, Brno, Czech Republic, 15.5. - 17.5. 2013, pp. 1662-1668.

Zgodavova, K., 2010. Complexity of Entities and its Metrological Implications. In: Proceedings of the 21st International DAAAM Symposium, Vienna, Austria, pp. 0183.

Zgodavova, K., Bober, P., 2012. An Innovative Approach to the Integrated Management System Development, Quality Innovation Prosperity, 16(2), pp. 59-70, DOI: 10.12776/qip.v16i2.69.

Authors

Josef Tošenovský
josef.tosenovsky@vsb.cz (Primary Contact)
Filip Tošenovský
Tošenovský, J., & Tošenovský, F. (2014). Process Optimization in Metallurgy Based on Technological Maps. Quality Innovation Prosperity, 18(1), 15–22. https://doi.org/10.12776/qip.v18i1.313
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Optimisation of Multiple Response Processes Using Different Modeling Techniques

Fabrício Maciel Gomes, Célia Sayuri Imamura, Nilo Antonio de Souza Sampaio, Félix Monteiro...
Abstract View : 618
Download :317