Bearing Load Measurement System

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dc.contributor.authorGiridhar Setloor, Kaustubh
dc.contributor.authorLakshmana Gowda, Kushal
dc.contributor.departmentChalmers tekniska högskola / Institutionen för industri- och materialvetenskapsv
dc.contributor.departmentChalmers University of Technology / Department of Industrial and Materials Scienceen
dc.contributor.examinerEvertsson, Magnus
dc.contributor.supervisorPaling, Sebastian
dc.contributor.supervisorCederlund, Johan
dc.date.accessioned2024-09-17T11:49:47Z
dc.date.available2024-09-17T11:49:47Z
dc.date.issued2024
dc.date.submitted
dc.description.abstractThe advancement of sensor technology plays a crucial role in enhancing performance and reliability of mechanical systems. In the world of industrial applications, the accurate monitoring of mechanical components is essential to ensure good operational performance and efficiency with prevention of failures. One promising technology for such monitoring tasks is the Fiber Bragg Grating Sensors (FBG). This thesis helps us validate and verify the application of Fiber Bragg Grating (FBG) sensors for monitoring axial strain on mechanical ball bearings of an electric motor. It focuses on the effectiveness of the sensors in providing precise strain measurements for improving monitoring technology in mechanical systems. The research research was divided into 4 main tasks: preliminary research, development of python-based interrogator software including a graphical user interface (GUI) for data capture, test setup development for applying axial loads on the bearing and data analysis/- post processing. This research employs Python software for every process involved from collecting the FBG data to post process of the data. The preliminary research involved an extensive review of existing literature to establish a strong theoretical foundation on sensor technology and its application. A python-based software was developed to interface with the Sentea interrogator for which a user-friendly GUI was designed to capture real-time sensor data for data visualization and export. The test rig setup involved applying axial loads to the rotor shaft of the electric motor using a hydraulic press, with custom-designed components to ensure accurate application of force on the bearings and for accurate measurement. The sensors were installed along the outer-ring of the ball bearings and the tests were conducted under varying load conditions with rotation speed of 600rpm with the use of hand drill. The collected data was processed to calculate strain and stress. The post-processing involved filtering the data, calculating strain and stress, and analyzing the results through discrete Fourier transforms to understand the dynamic behavior of the bearings under load and the obtained plots and result shows that the axial strain with respect to the load increases linearly with curve fit. Hence, this work concludes that the findings demonstrate the potential of FBG sensors in providing strain measurements, validating for advanced monitoring of mechanical systems. This research offers valuable insights into the use of these sensors for industrial applications, offering a foundation for future studies and technological advancements in this field.
dc.identifier.coursecodeIMSX30
dc.identifier.urihttp://hdl.handle.net/20.500.12380/308671
dc.language.isoeng
dc.setspec.uppsokTechnology
dc.subjectFiber Bragg Grating (FBG)
dc.subjectAxial Strain
dc.subjectDeep Grove Ball Bearings
dc.subjectInterrogator
dc.subjectDiscrete Fourier Transform
dc.subjectButterworth Filter
dc.titleBearing Load Measurement System
dc.type.degreeExamensarbete för masterexamensv
dc.type.degreeMaster's Thesisen
dc.type.uppsokH
local.programmeMobility engineering (MPMOB), MSc
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