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Warianty tytułu
Języki publikacji
Abstrakty
The aim of the paper was an attempt at applying the time-series analysis to the control of the melting process of grey cast iron in production conditions. The production data were collected in one of Polish foundries in the form of spectrometer printouts. The quality of the alloy was controlled by its chemical composition in about 0.5 hour time intervals. The procedure of preparation of the industrial data is presented, including OCR-based method of transformation to the electronic numerical format as well as generation of records related to particular weekdays. The computations for time-series analysis were made using the author's own software having a wide range of capabilities, including detection of important periodicity in data as well as regression modeling of the residual data, i.e. the values obtained after subtraction of general trend, trend of variability amplitude and the periodical component. The most interesting results of the analysis include: significant 2-measurements periodicity of percentages of all components, significance 7-day periodicity of silicon content measured at the end of a day and the relatively good prediction accuracy obtained without modeling of residual data for various types of expected values. Some practical conclusions have been formulated, related to possible improvements in the melting process control procedures as well as more general tips concerning applications of time-series analysis in foundry production.
Czasopismo
Rocznik
Tom
Strony
171--175
Opis fizyczny
Bibliogr. 6 poz., rys., tab., wykr.
Twórcy
autor
autor
- Institute of Manufacturing Technologies, Warsaw University of Technology, ul. Narbutta 85, 02-524 Warszawa, Poland, M.Perzyk@wip.pw.edu.pl
Bibliografia
- [1] Bisgaard, S. & Kulahci, M. (2008). Quality quandaries: Using a time series model for process adjustment and control. Quality Engineering, 20, 134-141. DOI: 10.1080/08982110701771042.
- [2] Z. C. Lin, D. Y. Chang, A band-type network model for the time-series problem used for IC leadframe dam-bar shearing process, International Journal of Advanced Manufacturing Technology, vol. 40, No. 11-12 (2009) 1252-1266. DOI: 10.1007/s00170-008-1432-6.
- [3] S. G. Kapoor, R. W. Terry, Time series analysis of tensile strength in a die casting process, Time Series Analysis: Theory and Practice 4, Proc. 8th International Time Series Meeting and 3rd American Conference, 1983, 221-228.
- [4] F. R. Camisani-Calzolari, I. K. Craig, P. C. Pistoriust, Quality prediction in continuous casting of stainless steel slabs, Journal of The South African Institute of Mining and Metallurgy, vol. 103, No. 10 (2003) 651-665.
- [5] M. Perzyk, A. Kochański, R. Biernacki, J. Kozłowski, A. Soroczyński, Applications of data mining to diagnosis and control of manufacturing processes, in "Knowledge - Oriented Applications in Data Mining", eds. Kimito Funatsu and Kiyoshi Hasegawa, Publ. InTech, 2011, 147-166. DOI: 10.5772/13282.
- [6] M. Perzyk, K. Krawiec, J. Kozłowski, Application of time-series analysis in foundry production, Archives of Foundry Engineering, vol. 9, No. 3 (2009) 109-114.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BPZ7-0006-0056