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  1. Pubblicazioni

Bearing fault model for an independent cart conveyor

Contributo in Atti di convegno
Data di Pubblicazione:
2019
Citazione:
Bearing fault model for an independent cart conveyor / Cocconcelli, M.; Cavalaglio Camargo Molano, J.; Rubini, R.; Capelli, L.; Borghi, D.. - 15:(2019), pp. 211-220. ( 6th International Conference on Condition Monitoring of Machinery in Non-Stationary Operations (CMMNO) Santander, Spain 20-22 June 2018) [10.1007/978-3-030-11220-2_22].
Abstract:
Independent cart conveyor system is an emerging technology in industries, trying to replace servo motors and kinematic chains in several applications. It consists of several carts on a closed-loop path, each of which can freely move with respect to the other carts. Basically, each cart is an servo linear motor, where the windings and the drives are on the frame and the magnets are on the moving carts together with a feedback device (e.g. a Hall sensor to track the position). The drive controls and actuates each cart independently according to the motion profile loaded. From a mechanical point of view, the carts are connected to the frame through a series of rollers placed on and under a mechanical guide. The rollers may be subject to a premature wear and the condition monitoring of these components is a no trivial challenge, due to non-stationary working conditions of variable speed profile and variable loads. This paper provides a bearing fault model taking into account the motion profile of the cart, the mechanical design of the cart, the geometry of the conveyor path, the expected loads and the type of fault on the roller bearings.
Tipologia CRIS:
Relazione in Atti di Convegno
Keywords:
Ball bearings; Fault model; Independent cart system; Linear motors
Elenco autori:
Cocconcelli, M.; Cavalaglio Camargo Molano, J.; Rubini, R.; Capelli, L.; Borghi, D.
Autori di Ateneo:
COCCONCELLI Marco
RUBINI Riccardo
Link alla scheda completa:
https://iris.unimore.it/handle/11380/1203775
Titolo del libro:
ADVANCES IN CONDITION MONITORING OF MACHINERY IN NON-STATIONARY OPERATIONS (CMMNO 2018)
Pubblicato in:
APPLIED CONDITION MONITORING
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