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Experimental Study of the Motion Modes of a Planar Mechanical System with Multi-Clearance Revolute Joints

Open Journal of Applied Sciences 2023年第11期13卷 2014-2031页

作者： Kifatsoa Kolani mutuku muvengei Joshua Ngoret James Kimotho Department of Mechanical and Mechatronics Engineering Pan African University Institute for Basic Sciences Technology and Innovation Nairobi Kenya College of Engineering and Technology (COETEC) Jomo Kenyatta University of Agriculture and Technology Nairobi Kenya

Clearances in joints of a mechanical multibody system can induce impulsive forces, leading to vibrations that compromise the system’s reliability, stability, and lifespan. Through dynamic analysis, designers can investigate the effects of the clearances on the dynamics of the multibody system. A revolute joint with clearance exhibits three motions which are;free-flight, impact and continuous contact motion modes. Therefore, a multibody system with n-number of revolute clearance joints will exhibit 3n motion modes which are a combination of the three motions in each joint. This study investigates experimentally the nine motion modes in a mechanical system with two revolute clearance joints. A slider crank mechanism has been used as the demonstrative example. We observed that the experimental curve exhibits a greater impact compared to the simulation curve. In conclusion, this experimental investigation offers valuable insights into the dynamics of planar mechanical systems with multiple clearance revolute joints. Utilizing a slider-crank mechanism for data acquisition, the study successfully confirmed seven out of nine motion modes previously identified in numerical research. The missing modes are attributed to inherent complexities in real-world systems, such as journal-bearing misalignment.

关键词： Slider Crank Mechanism Dynamic Responses Revolute Clearance Joints Motion Modes

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Fusion of Model-Based and Data Driven Based Fault Diagnostic Methods for Railway Vehicle Suspension

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Journal of Intelligent Learning Systems and Applications 2020年第3期12卷 51-81页

作者： Abdulai Ayirebi Ankrah James Kuria Kimotho Onesmus mutuku muvengei Department of Mechanical Engineering PAUSTI Nairobi Kenya Department of Mechanical Engineering JKUAT Nairobi Kenya

Transportation of freight and passengers by train is one of the oldest types of transport, and has now taken root in most of the developing countries especially in Africa. Recently, with the advent and development of high-speed trains, continuous monitoring of the railway vehicle suspension is of significant importance. For this reason, railway vehicles should be monitored continuously to avoid catastrophic events, ensure comfort, safety, and also improved performance while reducing life cycle costs. The suspension system is a very important part of the railway vehicle which supports the car-body and the bogie, isolates the forces generated by the track unevenness at the wheels and also controls the attitude of the car-body with respect to the track surface for ride comfort. Its reliability is directly related to the vehicle safety. The railway vehicle suspension often develops faults;worn springs and dampers in the primary and secondary suspension. To avoid a complete system failure, early detection of fault in the suspension of trains is of high importance. The main contribution of the research work is the prediction of faulty regimes of a railway vehicle suspension based on a hybrid model. The hybrid model framework is in four folds;first, modeling of vehicle suspension system to generate vertical acceleration of the railway vehicle, parameter estimation or identification was performed to obtain the nominal parameter values of the vehicle suspension system based on the measured data in the second fold, furthermore, a supervised machine learning model was built to predict faulty and healthy state of the suspension system components (damage scenarios) based on support vector machine (SVM) and lastly, the development of a new SVM model with the damage scenarios to predict faults on the test data. The level of degradation at which the spring and damp

关键词： Railway Vehicle Suspension System Hybird Model Fault Detection Support Vector Machine

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