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European Congress of Chemical Engineering - 6
Copenhagen 16-21 September 2007

Abstract 691 - Control and Track of Melting Process by Quantification of Visual Information (QVI)

Control and Track of Melting Process by Quantification of Visual Information (QVI)

Systematic methods and tools for managing the complexity

Process Operation, Monitoring & Analysis (T4-2P)

MSc Sanja Martinovic
Institute for Technology of Nuclear and Other Mineral Raw aterials
of Metallurgy and Chemical Engineering
86 Franchet d'Esperey St.
11000 Belgrade
Serbia

PhD Predrag Jovanic
Institute for Plant Protection and Environmenat
Dpt. of Phytopharmacy
9 Teodora Drajzera St., 11000 Belgrade
Serbia

MSc Milica Vlahovic
Institute for Technology of Nuclear and Other Mineral Raw Materials
Dept. of Chemical Engineering and Metallurgy
86 Franchet d’Esperey St., 11000Belgrade
Serbia

Ing Tamara Boljanac
Institute for Technology of Nuclear and Other Mineral Raw Materials
Dpt. of Chemical Engineering and Metallurgy
86 Franchet d’Esperey St., Belgrade
Serbia

PhD Velislav Vidojkovic
Institute for Technology of Nuclear and Other Mineral Raw Materials
Dpt. of Chemical Engineering and Metallurgy
86 Franchet d’Esperey St., 11000 Belgrade
Serbia

Keywords: melting process, ThV camera, working models

This paper is occupied with control and track of single component (SiO2) melting process. Experiments were realized by electro-resistance furnace, while the initial raw material was floated quartz sand. The process is considered as non-stationary process due to existence of captured gas bubbles in the viscous melt and many accompanying effects as well. Tracking of processing parameters was in the focus of analysis. A method that enabled visual tracking of the process and thermovision as the source of information were applied. Infrared camera was used as method of temperature distribution. On the basis of these measurements, temperature profiles in the system during the melting process were obtained. Working models of the process were defined by correlation of the temperature profile changes with time. Correlation of temperature changes with time on distances of 1, 3 and 5 cm from the heater is graphically presented, as well as differences between working model and experimentally measured temperatures calculated by simulation. The “black box” method making connection between temperature and time was applied. Three-parameters powered functions are obtained as models of proposed system. These models were base for processing control. Namely, on the basis of the virtual process defined by different models, sets of parameters used for the process control are determined.


See the full pdf manuscript of the abstract.

Presented Wednesday 19, 13:30 to 15:00, in session Process Operation, Monitoring & Analysis (T4-2P).

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