Process Optimization in Metallurgy Based on Technological Maps
Article Sidebar
-
process inputs and outputs, regression, contour graph, regulation, optimal region
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.
Full text article
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
This is an open access journal which means that all content is freely available without charge to the user or his/her institution. Users are allowed to read, download, copy, distribute, print, search, or link to the full texts of the articles in this journal without asking prior permission from the publisher or the author. This is in accordance with the BOAI definition of open access. This journal is licensed under a Creative Commons Attribution 4.0 License - http://creativecommons.org/licenses/by/4.0.
Authors who publish with the Quality Innovation Prosperity agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.