Conditionality examination of the new testing algorithms for coal-water slurries moisture measurement
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- Category: Solid-state physics, mineral processing
- Last Updated on 11 March 2018
- Published on 11 March 2018
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Authors:
O.V. Zabolotnyi, Candidate of Technical Sciences, Associate Professor, State Higher Educational Institution “National Aerospace University “Kharkiv Aviation Institute”, Associate Professor, Dean of the Flying vehicles control systems Faculty, Kharkiv, Ukrainе, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it., orcid.org/0000-0001-8266-4481
V.A. Zabolotnyi, Candidate of Technical Sciences, Associate Professor, State Higher Educational Institution “National Aerospace University “Kharkiv Aviation Institute”, Associate Professor,Kharkiv, Ukrainе,e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it., orcid.org/0000-0001-9203-5080
M.D. Koshevoi, Doctor of Technical Sciences, Professor, State Higher Educational Institution “National Aerospace University, “Kharkiv Aviation Institute”, Professor, Head of the Aviation Devices and Measurement Department, Kharkiv, Ukrainе, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it., orcid.org/0000-0001-9465-4467
Abstract:
Purpose. To inspect the ability of the new testing algorithms of coal-water slurries moisture calculation to retain stability when working with experimental results that have natural random variation.
Methodology. Symmetric variation has been artificially introduced into the values of binary material-water slurry dielectric permittivity, applied in appropriate testing algorithm of moisture calculation. Inspection of the testing algorithm ability to retain the calculated water content values stability have been done for the conditions, when each value of dielectric permittivity that enters the testing algorithm takes maximum or minimum inside the symmetric variation range. Results of such an inspection allowed detecting some negative features of the existing testing algorithms and producing a new testing algorithm with sufficient stability for the calculated moisture values of material-water slurries.
Findings. When inspecting two testing algorithms for the calculated water content values conditionality, it was detected, in spite of our expectations, that variation of dielectric permittivity values in a rather small range of 0.1 % gives a significant dispersion of calculated moister values. This situation signified low conditionality for both testing algorithms. It caused the authors to generate the modified testing algorithm, able to provide a sufficient stability for the calculated binary coal-water system moisture values according to the results of its comparison with modern analogues with a help of Pyrson’s test.
Originality. Testingalgorithmsinspection for the calculated moisture values conditionality allowed generating more relevant testing algorithm of moisture calculating in binary systems and, as a result, increasing the accuracy of coal-water slurries moisture measurement.
Practical value. Application of the two additive, two multiplicative and two additional test influences on the substance under consideration in a new testing algorithm allowed increasing moisture measurement accuracy for capacitance moisture meters by several times. It is provided at the expense of small testing algorithm sensitivity to the substance’s variation of physicochemical structure and due to the conditionality increase for the calculated values of moisture.
References.
1. Arashdeep Singh, Puneet Juneja, Umesh, Satish Kumar and S. K. Mohapatra, 2015. Influence of Particle Size and Temperature on Rheological Characteristics of Coal Oil Suspension. International Journal of Engineering Technology, Management and Applied Sciences, 3, pp. 44‒50.
2. Ugwu, K. E. and Eze, S. I., 2014. Physicochemical and rheological characteristics of charcoal slurry fuel. International Journal of Energy and Environment (IJEE), 5(1), pp. 119‒126.
3. Jian Xu,Yong Yang and Yong-Wang Li, 2015. Recent Development in Converting Coal to Clean Fuels in China. Fuel, 152, pp. 122‒130.
4. Nelson, S. O. and Trabelsi, S., 2014. A century of grain and seed moisture measurement by sensing electrical properties. Transactions of the ASABE, 55(2), pp. 629–636.
5. Holub, K. Yu., Zabolotnyi, O. V. and Koshevoi, M. D., 2014. Synthesis of Test Actions for Capacitive Moisture Meter that is Invariant to Substance Type Change, TEKA. Commission of motorization and energetics in agriculture, 14(2), pp. 43‒52.
6. Josh, M. and Clennell, B., 2015. Broadband electrical properties of clays and shales: Comparative investigations of remolded and preserved samples, Geophysics, 80(2), pp. 129‒143.
7.G. Diane Lee and Harris, G., 2016. Examination of Grain Moisture Meters Using Air-Oven Reference Method Transfer Standards. – Natl. Inst. Stand. Technol., 2016 Ed., 78 p.
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