Tomasz Ryba, Miroslaw Rucki, Zbigniew Siemiatkowski, Damian Bzinkowski, Michal Solecki

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In the paper, the issue of the supervision of belt tension and wear in industrial feeder is addressed. The designed system is based on strain gauges that are built into the roller and are subject to the belt pressure at each revolution. In order to assess the effectiveness of this system, calibration and uncertainty analysis was performed. As a result, it was demonstrated that the main source of uncertainty was the function of approximation, while the others were orders of magnitude smaller. The final function provided results with accuracy of ca. 10% of actually measured value, which was assumed to be a good result for this particular industrial application.


Industrial Feeder, Belt, Wear, Measurement, Calibration

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Miyata, H.H., Nagano, M.S., Gupta, J.N.D., 2019, Integrating preventive maintenance activities to the no-wait flow shop scheduling problem with dependent-sequence setup times and makespan minimization, Computers & Industrial Engineering, 135, pp. 79-104.

Ruiz-Sarmiento, J.R., Monroy, J., Moreno, F.A., Galindo, C., Bpnelo, J.M., Gonzalez-Jimenez, J., 2020, A predictive model for the maintenance of industrial machinery in the context of Industry 4.0, Engineering Applications of Artificial Intelligence, 87, Article 103289.

Lin, D., Jin, B., Chang, D., 2020, A PSO approach for the integrated maintenance model, Reliability Engineering & System Safety, 193, Article 106625.

Kuboki, N., Takata, S., 2019, Selecting the Optimum Inspection Method for Preventive Maintenance, Procedia CIRP, 80, pp. 512-517.

Mörth, O., Emmanouilidis, Ch., Hafner, N., Schadler, M., 2020, Cyber-physical systems for performance monitoring in production intralogistics, Computers & Industrial Engineering, 142, Article 106333.

Gładysewicz, L., Belt Feeders: Theory and Calculations, Wroclaw University of Technology, Wrocław (in Polish).

Fedorko, G., Ivančo, V., 2012, Analysis of Force Ratios in Conveyor Belt of Classic Belt Conveyor, Procedia Engineering, 48, pp. 123-128.

Andrejiova, M., Grincova, A., Marasova, D., 2019, Failure analysis of the rubber-textile conveyor belts using classification models, Engineering Failure Analysis, 101, pp. 407-417.

Molnár, V., Fedorko, G., Homolka, L., Michalik, P., Tučková, Z., 2019, Utilisation of measurements to predict the relationship between contact forces on the pipe conveyor idler rollers and the tension force of the conveyor belt, Measurement, 136, pp. 735-744.

Mazurkiewicz, D., 2011, Study on the chosen aspects of maintenance diagnostics of belt conveyors, Lublin University of Technology, Lublin (in Polish).

Nowak, R., Grzyb, K., 2008, Monitoring and laboratory research on the diagnostics process of feeding belts with steel rods, Proc. 16th International Symposium “100 lat w służbie polskiego przemysłu wydobywczego”, Zakopane, Poland, pp. 39-54.

Ryba, T., 2019, Overview of the rubber belts tension test methods in the close transport conveyors, Mechanik, 3, pp. 210-212.

Ryba, T., 2020, Patent Application No. P.432900, Warsaw, Poland.

Daminabo, S. C., Goel, S., Grammatikos, S. A., Nezhad, H. Y., Thakur, V. K., 2020, Fused deposition modeling-based additive manufacturing (3D printing): techniques for polymer material systems, Materials Today Chemistry, 16, Article 100248.

Tyczynski, P., Siemiatkowski, Z., Rucki, M., Analysis of the drill base body fabricated with Additive Manufacturing technology, Proceedings of 18th International euspen Conference & Exhibition, 4-8 June 2018, Venice, Italy, pp. 287-288

Kazmer, D., 2017, Applied Plastics Engineering Handbook, Second Edition, Elsevier, Amsterdam.

International Organization of Legal Metrology, 2004, OIML R 111-1: 2004, International Recommendation: Weights of classes E1, E2, F1, F2, M1, M1–2, M2, M2–3 and M3, Part 1: Metrological and technical requirements, Grande Imprimerie de Troyes, France.

EA-4/02 M: 2013. Evaluation of the Uncertainty of Measurement in Calibration.

JCGM 100:2008. Evaluation of measurement data — Guide to the expression of uncertainty in measurement.



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