Dynamic Analysis of Deep Groove Ball Bearing with Multiple Defects on Same Surface Using Finite Element Technique

Vibration is one of the major parameters to consider in Monitoring health of rotating system. If an undetected fault is remains in the rotating system, it may result in break-down, huge damage, physical injury, or even cause death, therefore early fault identification is a critical factor in ensuring and extending the working life of the rotating systems. Bearings are the most critical components of any rotating system. Various sorts of vibrations occur in a rotor's mechanical system during operation, which frequently limits performance and endangers the operation's safety. However, it can also lead to downtime and costly damage if an undiagnosed problem is discovered in the rotating system. They are used to support rotating shafts. Thus, any flaw or malfunction in the factors might result in product position and outfit losses, as well as an unsafe working environment for humans. As a result, scholars have recently focused a lot of attention on address fault opinions. By vibration measurement and analysis of the bearing, it is possible to detect and locate important faults such as mass unbalance, misalignment, surface defects, and cracks. This article intends to provide researchers with guidance on how to apply vibration analysis for identifying, diagnosing, and addressing various common types of faults. It also highlights numerous essential techniques employed for this purpose condition monitoring of deep groove ball bearing such as fast Fourier transform, and FEM. This work focused on analyzing the modal and harmonic response of the Deep groove ball bearing with multiple surface defects.

Authors

Publication Details

Journal
International Journal on Computational Engineering
Published
2024-09-22
DOI
https://doi.org/10.62527/comien.1.3.16
Primary Topic
Gear and Bearing Dynamics Analysis
Type
article
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article

Dynamic Analysis of Deep Groove Ball Bearing with Multiple Defects on Same Surface Using Finite Element Technique

R. G. Desavale, Shivam S. Dingane
International Journal on Computational Engineering
Gear and Bearing Dynamics Analysis
article

Dynamic Analysis of Deep Groove Ball Bearing with Multiple Defects on Same Surface Using Finite Element Technique

R. G. Desavale, Shivam S. Dingane
article en

Abstract

Vibration is one of the major parameters to consider in Monitoring health of rotating system. If an undetected fault is remains in the rotating system, it may result in break-down, huge damage, physical injury, or even cause death, therefore early fault identification is a critical factor in ensuring and extending the working life of the rotating systems. Bearings are the most critical components of any rotating system. Various sorts of vibrations occur in a rotor's mechanical system during operation, which frequently limits performance and endangers the operation's safety. However, it can also lead to downtime and costly damage if an undiagnosed problem is discovered in the rotating system. They are used to support rotating shafts. Thus, any flaw or malfunction in the factors might result in product position and outfit losses, as well as an unsafe working environment for humans. As a result, scholars have recently focused a lot of attention on address fault opinions. By vibration measurement and analysis of the bearing, it is possible to detect and locate important faults such as mass unbalance, misalignment, surface defects, and cracks. This article intends to provide researchers with guidance on how to apply vibration analysis for identifying, diagnosing, and addressing various common types of faults. It also highlights numerous essential techniques employed for this purpose condition monitoring of deep groove ball bearing such as fast Fourier transform, and FEM. This work focused on analyzing the modal and harmonic response of the Deep groove ball bearing with multiple surface defects.

International Journal on Computational EngineeringVol. 1(3)
Openalex Percentile: Top 71%
Gear and Bearing Dynamics Analysis
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