Javascript must be enabled to continue!
Smart Bearing Sensor
View through CrossRef
The recent increase in vessel shaftline bearing incidents indicates that a static shaft alignment design may not be suitable for all operational shaftline loading conditions. Hull deflections caused by vessel loading or propeller loads initiated by interaction with the wakefield have become important considerations in modern vessel design. Jack-up tests, typically used as a bearing load verification method, can only be accomplished under static shaft conditions and cannot verify the shaft dynamic behavior under running operational conditions. A newly developed sensor using strain gauge technology measures the bearing load and the shaft misalignment angle through the bearing housing's deformation-induced strain. It effectively converts the bearing housing into a weighing machine by mapping the bearing housing strain onto the bearing load. Unlike jack-up tests, this method allows for the continuous measurement of the bearing load and misalignment angle under all shaftline operational conditions. It is envisaged that this technologically simple system will allow for the earliest possible diagnosis of shaft alignment-related problems, such as bearing unloading, bearing overloading, or excessive shaft-bearing misalignment. This provides a much earlier warning indicator when compared with the bearing temperature alarm. The subject technology has been tested on intermediate bearings and is considered for future application into stern tube bearings.
1. Introduction
In post-IMO's (International Maritime Organization) Energy Efficiency Design Index vessel designs, the propulsion shafting arrangements become increasingly sensitive to shaft alignment with lower tolerances and margins, increasing the risk of stern tube bearing failures (Leontopoulos 2016a). This change is due to the wider use of more efficient, larger diameter propellers with increased cantilevered load on the shafting system and shorter shaftlines as a result of maximizing cargo space and minimizing engine room length. Widespread application of the single stern tube bearing design (an arrangement without a forward stern tube bearing) has also highlighted a decreased tolerance to eccentric propeller thrust and propeller forces in general. Reduced tolerance to shaft alignment sighting errors, bearing offset inaccuracies and other shaft installation errors, also affects the integrity of the shafting system and can result in complete bearing wiping with the consequence of vessel propulsion immobilization. This undesirable consequence has increased, particularly during the years 2013–2017.
The Society of Naval Architects and Marine Engineers
Title: Smart Bearing Sensor
Description:
The recent increase in vessel shaftline bearing incidents indicates that a static shaft alignment design may not be suitable for all operational shaftline loading conditions.
Hull deflections caused by vessel loading or propeller loads initiated by interaction with the wakefield have become important considerations in modern vessel design.
Jack-up tests, typically used as a bearing load verification method, can only be accomplished under static shaft conditions and cannot verify the shaft dynamic behavior under running operational conditions.
A newly developed sensor using strain gauge technology measures the bearing load and the shaft misalignment angle through the bearing housing's deformation-induced strain.
It effectively converts the bearing housing into a weighing machine by mapping the bearing housing strain onto the bearing load.
Unlike jack-up tests, this method allows for the continuous measurement of the bearing load and misalignment angle under all shaftline operational conditions.
It is envisaged that this technologically simple system will allow for the earliest possible diagnosis of shaft alignment-related problems, such as bearing unloading, bearing overloading, or excessive shaft-bearing misalignment.
This provides a much earlier warning indicator when compared with the bearing temperature alarm.
The subject technology has been tested on intermediate bearings and is considered for future application into stern tube bearings.
1.
Introduction
In post-IMO's (International Maritime Organization) Energy Efficiency Design Index vessel designs, the propulsion shafting arrangements become increasingly sensitive to shaft alignment with lower tolerances and margins, increasing the risk of stern tube bearing failures (Leontopoulos 2016a).
This change is due to the wider use of more efficient, larger diameter propellers with increased cantilevered load on the shafting system and shorter shaftlines as a result of maximizing cargo space and minimizing engine room length.
Widespread application of the single stern tube bearing design (an arrangement without a forward stern tube bearing) has also highlighted a decreased tolerance to eccentric propeller thrust and propeller forces in general.
Reduced tolerance to shaft alignment sighting errors, bearing offset inaccuracies and other shaft installation errors, also affects the integrity of the shafting system and can result in complete bearing wiping with the consequence of vessel propulsion immobilization.
This undesirable consequence has increased, particularly during the years 2013–2017.
Related Results
Dynamic stochastic modeling for inertial sensors
Dynamic stochastic modeling for inertial sensors
Es ampliamente conocido que los modelos de error para sensores inerciales tienen dos componentes: El primero es un componente determinista que normalmente es calibrado por el fabri...
Implementation of Faulty Sensor Detection Mechanism using Data Correlation of Multivariate Sensor Readings in Smart Agriculture
Implementation of Faulty Sensor Detection Mechanism using Data Correlation of Multivariate Sensor Readings in Smart Agriculture
Through sensor networks, agriculture can be connected to the IoT, which allows us to create connections among agronomists, farmers, and crops regardless of their geographical diffe...
A Detailed Study of the Mineralogy and Petrology of the Kipawa Rare Earth Elements Deposit (Canada)
A Detailed Study of the Mineralogy and Petrology of the Kipawa Rare Earth Elements Deposit (Canada)
Abstract
The Kipawa Syenite Complex is composed of peralkaline leucosyenites, mesosyenites, mafic syenites, amphibole syenites, fenites, peralkaline granite, and ...
Generative AI-Driven Smart Contract Optimization for Secure and Scalable Smart City Services
Generative AI-Driven Smart Contract Optimization for Secure and Scalable Smart City Services
Smart cities use advanced infrastructure and technology to improve the quality of life for their citizens. Collaborative services in smart cities are making the smart city ecosyste...
Reinventing Smart Water Management System through ICT and IoT Driven Solution for Smart Cities
Reinventing Smart Water Management System through ICT and IoT Driven Solution for Smart Cities
Purpose: Worldwide water scarcity is one of the major problems to deal with. Smart Cities also faces this challenging problem due to its ever-increasing population and limited sour...
Recent Patents on Detection of Bearing Temperature
Recent Patents on Detection of Bearing Temperature
Background:
One of the critical factors affecting the life of bearings is the bearing temperature
during operation, so the temperature is an important parameter to detect the runni...
ANALISA UMUR PAKAI (LIFETIME) BALL BEARING TIPE UCF 4 BOLT FLANGE UNIT PADA MESIN SPIN COATING ABRASIVE CLUTCH TEST DI PT XY
ANALISA UMUR PAKAI (LIFETIME) BALL BEARING TIPE UCF 4 BOLT FLANGE UNIT PADA MESIN SPIN COATING ABRASIVE CLUTCH TEST DI PT XY
ABSTRACTSpin Coating Abrasive Clutch Test Machine is a machine for testing abrasive clucth on clutch components of PT.XY four-wheeled clutch. One component that plays an important ...
5G-BSS: 5G-Based Universal Blockchain Smart Sensors
5G-BSS: 5G-Based Universal Blockchain Smart Sensors
A smart sensor is a sensor with information processing functions. It is the product of the combination of sensor integration and a microprocessor. It has the characteristics of int...

