Monitoring the vibration of screening frames used in the construction industry

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Monitoring the vibration of screening frames used in the construction industry

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Monitoring the vibration of screening frames used in the construction industry

Popis výsledku anglicky

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.

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

—

OECD FORD obor

20301 - Mechanical engineering

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2025

Kód důvěrnosti údajů

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

Název periodika

Inżynieria Mineralna

ISSN

1640-4920

e-ISSN

1640-4920

Svazek periodika

2025

Číslo periodika v rámci svazku

2 (2)

Stát vydavatele periodika

PL - Polská republika

Počet stran výsledku

6

Strana od-do

1-6

Kód UT WoS článku

001696974000004

EID výsledku v databázi Scopus

2-s2.0-105025123629