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Monitoring the vibration of screening frames used in the construction industry

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27230%2F25%3A10256549" target="_blank" >RIV/61989100:27230/25:10256549 - isvavai.cz</a>

  • Result on the web

    <a href="https://inz-min.online/index.php/im/en/article/view/1728" target="_blank" >https://inz-min.online/index.php/im/en/article/view/1728</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.29227/IM-2025-02-02-003" target="_blank" >10.29227/IM-2025-02-02-003</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Monitoring the vibration of screening frames used in the construction industry

  • Original language description

    This paper discusses the operational monitoring of a vibratory machine that is used to sort construction debris separated from construction wastes. At reconstruction and demolition works in the construction industry, vibratory sorters are used to sort construction debris, using vibratory motors to vibrate the vibratory screens. Sorting screens are supported by springs to dampen vibrations generated by vibration motors, which are transmitted to the vibratory sorter frame. The paper outlines a procedure to optimally select the stiffness of rubber springs depending on the total weight of vibrating masses and the own frequency of the vibratory sorter. The sensor measurement has been used to determine the relationship between the compressive forces acting on rubber springs (which are digital inputs) and their elastic deformation. The characteristics of rubber springs generated by laboratory measurements are a valuable asset in the selection of the actual springs that are installed in vibratory sorters used in the construction industry. The contribution can be justified by the fact that the spring stiffnesses specified in manufacturers&apos; catalogues are often different from the actual stiffness values. Based on the monitoring and analysis of the measured velocity values, i.e. the vibration signals transmitted to the frame of the vibration machines, the optimum operating mode of the vibration machines can be diagnosed and detected in a very efficient and disassembly-free way and thus any emerging fault can be identified. The main objective of the measurements performed on the vibration sorter model has been to detect the magnitude of the effective vibration velocity values in the required time period using sensors, thus enabling monitoring, data collection and storage for the purpose of autonomous operation of vibration machines. The ability to sense and analyse the magnitude of vibrations transmitted to the frame of vibratory machines, allows to increase the safety and reliability of the operation of vibratory machines used in the construction industry. The mitigation of risks of accidents during maintenance, even during work activities, of vibratory machines and ensuring their trouble-free operation without the need for human presence due to the use of automation and sensor monitoring has been an important aspect.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database

  • CEP classification

  • OECD FORD branch

    20301 - Mechanical engineering

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2025

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Inżynieria Mineralna

  • ISSN

    1640-4920

  • e-ISSN

    1640-4920

  • Volume of the periodical

    2025

  • Issue of the periodical within the volume

    2 (2)

  • Country of publishing house

    PL - POLAND

  • Number of pages

    6

  • Pages from-to

    1-6

  • UT code for WoS article

    001696974000004

  • EID of the result in the Scopus database

    2-s2.0-105025123629