Experimental research on muffle furnace dynamic properties
- Details
- Category: Content №3 2023
- Last Updated on 27 June 2023
- Published on 30 November -0001
- Hits: 2372
Authors:
M.I.Horbiychuk*, orcid.org/0000-0002-8586-1883, Ivano-Frankivsk National Technical University of Oil and Gas, Ivano-Frankivsk, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
N.T.Lazoriv, orcid.org/0000-0001-7334-9308, Ivano-Frankivsk National Technical University of Oil and Gas, Ivano-Frankivsk, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
M.I.Kohutyk, orcid.org/0000-0003-0026-7744, Ivano-Frankivsk National Technical University of Oil and Gas, Ivano-Frankivsk, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
I.Z.Manuliak, orcid.org/0000-0002-0072-1532, Ivano-Frankivsk National Technical University of Oil and Gas, Ivano-Frankivsk, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
* Corresponding author e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu. 2023, (3): 144 - 150
https://doi.org/10.33271/nvngu/2023-3/144
Abstract:
Purpose. To develop the method and software for building empirical models of muffle furnaces with two heating elements.
Methodology. The method for processing experimental data according to the improved algorithm, which is based on the areas method, is used for constructing empirical models of the muffle furnace. Experimental research of the muffle furnace dynamic is conducted using the following methodology. The muffle furnace is cooled to the room temperature and then the lower heater is turned on and temperatures at the furnace output are fixed using the experimental two-channel temperature controller MIC-344. The second cycle of the experimental research began by cooling the furnace to the room temperature with turning on the upper heater. Observations based on the results of the experiment are conducted until the temperature is stabilized at the two outputs of the muffle furnace. Archiving of temperature trends is carried out using the RS485/Ethernet interface and the SmartReview software (a product of private limited company “Microl”).
Findings. The developed software can be used for iteratively selection of the optimal empirical model based on the criterion of the root mean square deviation of the calculated and experimental data. The calculating method for the acceleration curve based on the transfer functions coefficients with a variable discreteness step is improved in order to compare the experimental data with the empirical modeling results. Twelve empirical models were tested for four signal transmission channels in the process of experimental research. It has been established that only four of them are stable (have left-hand roots of the characteristic equation). Among the selected sustainable models, the model with the numerator polynomial equaled to two and denominator polynomial equaled to three has been established as the best model (according to the established criterion). A structural diagram is created based on the synthesized empirical model of the muffle furnace, which includes four transfer functions and cross connections.
Originality. For the first time, the empirical model of a muffle furnace with two electrical energy sources has been developed, which describes its dynamic properties as the object of automatic control with high accuracy, which enables to reveal the presence of internal cross-connections, that significantly complicate the controlling process of the object.
Practical value. The created empirical models with two electric sources (tens) can be used for the synthesis of the high-precision automatic temperature control system of the muffle furnace.
Keywords: muffle furnace, temperature, control system, dynamics, model, transfer function
References.
1. Muffle furnaces: device, characteristics and purpose (2022). Retrieved from https://analit-pribor.com.ua/uk/developments/mufelni-pechi-prystrij-harakterystyky-i-pryznachennya/.
2. Vestfálová, M. (2015). Thermodynamic properties of real gases and BWR equation of state. EPJ Web of Conferences, 92, 106-109. Liberec, Grech Republic. https://doi.org/10.1051/epjconf/20159202106.
3. Md. Tahmid Wara Ucchas, Mechrab Mustafiz Nuhas, Md. Toufiguzzaman, AI Jaber Mahmud, & Md. Fokhrul Islam (2022). Performance and Comparative Analysis of PI and PID Controller-based Single Phase PWM Inverter Using Matlab Simulink for Variable Voltage. Second International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies, (pp. 112-134). India. Retrieved from https://ieeexplore.ieee.org/document/9807857.
4. Karvatskyi, A., Pulinets, I., & Shilovch, I. (2012). Mathematical model of the thermal-hydrodynamic state of a multi-chamber furnace during firing of electrode blanks. Eastern European journal of advanced technologies, 1/4(55), 33-37.
5. Zakharov, A., Shayakhmetov, U., & Akhmetshina, H. (2017). Calculation of a high-temperature muffle furnace with new heat-insulating materials. Bulletin of Bashkir University, 22(4), 996-999. Retrieved from https://cyberleninka.ru/article/n/raschet-vysokotemperaturnoy-mufelnoy-pechi-s-novymi-teploizolyatsionnymi-materialami/viewer.
6. Gorbiychuk, M., Lazoriv, N., Chyhur, L., & Chyhur, I. (2021). Determining configuration parameters for proportion-ally integrated differentiating controllers by arranging the poles of the transfer function on the complex plane. Eastern-European Journal of Enterprise Technologies, 2(113), 80-93. https://doi.org/10.15587/1729-4061.2021.242869.
7. Demetriou, M. A., & Fahroo, F. (2013). Synchronization of a class of second order distributed parameter systems. IFAC Proceedings Volumes, 46(26), 73-78. https://doi.org/10.3182/20130925-3-FR-4043.00057.
8. Kropyvnytska, V., Kopystynskyy, L., & Sementsov, G. (2017). Development of a set of methods for preforecasting fractal time series analysis to determine the level of persistence. Eastern-European Journal of Enterprise Technologies, 3/4(87), 10-17. https://doi.org/10.15587/1729-4061.2017.104425.
9. Gorbiychuk, M., Zamikhovska, O., Zikratyi, S., Zamikhovskiy, L., & Shtaier, L. (2019). Evaluation of dynamic roperties of gas pumping units according to the results of experimental Researches. Earsten-European Journal of Enterprise Technologies, 2/2(98), 73-81.
10. Shengzhong, H. (2011). Immune Genetic Evolutionary Algorithm of Wavelet Neural Network to Predict the Performance in the Centrifugal Compressor and Research. Journal of Software, 6(5), 908-914. Retrieved from http://www.jsoftware.us/vol6/jsw0605-20.pdf.
Newer news items:
- Crowdsourcing for business strategy and sustainability: a partial least square structural equation model - 27/06/2023 03:35
- Ukraine labour potential modelling based on using the theory of unclear logic - 27/06/2023 03:35
- Analysis of motivation determinants in the implementation of online training of future managers at state universities - 27/06/2023 03:35
- Financial and credit support of market-oriented management of transport engineering enterprises - 27/06/2023 03:35
- Development of collective intelligence in the enterprises’ digital transformation - 27/06/2023 03:35
- Fundamental imperatives of eliminating uncertainty on the basis of monitoring the activity of the iron ore enterprise - 27/06/2023 03:35
Older news items:
- Evaluation and control of data relevance in information systems of the transport industry management - 27/06/2023 03:35
- Optimization of track distribution of industrial railway stations between car designations - 27/06/2023 03:35
- Methodology for assessing the influence of external and internal factors on the development of the digital economy - 27/06/2023 03:35
- Homomorphic filtering in digital multichannel image processing - 27/06/2023 03:35
- Economic aspects of assessment and marketing of carbon emissions by enterprises based on the principles of sustainable development - 27/06/2023 03:35
- Problem issues regarding legal liability for environmental offenses in Ukraine - 27/06/2023 03:35
- Mathematical model of air flow movement in a motorized filter respirator - 27/06/2023 03:35
- Methods for improving accounting and analytical support of enterprises in order to protect the environment - 27/06/2023 03:35
- Assessment of the risk to human health from the accumulation of heavy metals in and around the “2 July” neighborhood (Mitrovica-Kosovo, Kosovo) - 27/06/2023 03:35
- Assessing the accuracy of modeling the tubbing erector manipulator mechanism in solidworks motion program - 27/06/2023 03:35