Marek Danielak
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Articles (3)
Year:
2023
Assessing the wear of components in a single-screw extruder and its condition during the process is difficult. In this context, wavelet analysis was used to investigate the wear condition of extruder elements, which yielded data on current waveforms obtained from 1 kHz frequency converters. To date, no tests of this type have been conducted on single-screw food extruders, which further emphasizes the relevance of the research undertaken by the authors. Experimental tests have been conducted to verify the hypothesis that it is possible to assess the level of wear of the working elements of an extruder by monitoring the variations in the frequencies on the current spectrum using wavelet analysis tools. The root mean square (RMS) values of the current were compared for two configurations of the working elements of the device, i.e., new and used. Observation of the frequency variations of the current spectrum values using wavelet analysis tools can provide valuable information on the technical condition of the working elements of an industrial extruder. Therefore, they can indicate the need for prompt replacement of friction elements in order to improve the efficiency and performance of the machine.
Year:
2023
Year:
2023
Collaborators (5)
Karol Durczak
University of Life Sciences in Poznań
Krzysztof Koszela
University of Life Sciences in Poznań
Florian Adamczyk
prof. UPP
Uniwersytet Przyrodniczy w Poznaniu
Jacek Wojciechowski
Sieć Badawcza Łukasiewicz - Łódzki Instytut Technologiczny
Ryszard Tadeusiewicz
Professor
AGH University of Science and Technology
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