ISSN: 2226-6348
Open access
Mastering the mechanical vibrations of a Mass-Spring-Damper system is essential, particularly in structural design where resonance can cause catastrophic failures. However, undergraduate students often face challenges in understanding these concepts, leading to reduced engagement in teaching and learning activities. To address this, the Vibration Simulation and Analysis Teaching Tool (VSATT) was developed as an innovative, interactive platform to enhance comprehension of Single Degree of Freedom forced and free vibrations. Leveraging MATLAB-Simulink and a user-friendly graphical user interface (GUI), VSATT provides hands-on exploration of vibration principles through dynamic simulations and detailed response analysis. Validation results showed an error margin of less than 1%, while feedback from 112 users reported positive outcomes in accessibility, ease of learning, motivation, understanding, and overall effectiveness, with scores exceeding 87%. These findings highlight VSATT's role in advancing interactive learning tools in engineering education by offering a flexible and engaging platform for mastering complex vibration dynamics.
Ahmad, H., Tarik, M., Bhutta, H. A., & Tariq, M. (2016). An interactive educational tool for double control spring-mass-damper system analysis and control. Proceedings of the 3rd International Conference on Emerging Technologies (ICEET), 7–8.
Akbari-Hasanjani, R., Javadi, S., & Sabbaghi-Nadooshan, R. (2015). DC motor speed control by self-tuning fuzzy PID algorithm. Transactions of the Institute of Measurement and Control, 37(2), 164–176.
Aziz, E. S., Esche, S. K., & Chassapis, C. (2007). On the design of a virtual learning environment for mechanical vibrations. Frontiers in Education Conference.
Bai, C., & Ganeriwala, S. (2019). Combining virtual simulation with hands-on experiments for teaching mechanical vibrations. Conference Proceedings of the Society for Experimental Mechanics Series, 9(January), 299–307.
Dykstra, D. M. J., Lenting, C., Masurier, A., & Coulais, C. (2023). Buckling metamaterials for extreme vibration damping. Advanced Materials, 35(35), 1–12.
Fu?awka, K., Mertuszka, P., Szumny, M., Stolecki, L., & Szczerbi?ski, K. (2022). Application of MEMS-based accelerometers for near-field monitoring of blasting-induced seismicity. Minerals, 12(5).
Ghayoor, F. (2020). A MATLAB-based virtual robotics laboratory: Demonstrated by a two-wheeled inverted pendulum. International Journal of Electrical Engineering Education, 57(4), 301–320.
Huang, L., Li, H., Lupunga, M. A., Xu, J., & Zhang, C. (2023). Seismic response analysis of double-trough aqueduct considering fluid-structure interaction effect. PLOS ONE, 18(8).
Ingale, A., Daga, A., & Naik, R. (2018). Modeling mass-spring-damper system using Simscape. Journal of Engineering Research and Applications, 8(1), 30–33.
Kalala, G. N., Chiementin, X., Rasolofondraibe, L., Boujelben, A., & Kilundu, B. (2022). Modeling impulsive ball mill forces effects on the dynamic behavior of a single-stage gearbox. Machines, 10(4).
Kim, S. M., Kim, D. W., & Kwak, M. K. (2023). Design and implementation of an active vibration control algorithm using servo actuator control installed in series with a spring-damper. Applied Sciences, 13(5).
Koo, G. H., Jung, J. Y., Hwang, J. K., Shin, T. M., & Lee, M. S. (2022). Vertical seismic isolation device for three-dimensional seismic isolation of nuclear power plant equipment—Case study. Applied Sciences, 12(1).
Lakhlani, B., & Yadav, H. (2017). Development and analysis of an experimental setup of spring-mass-damper system. Procedia Engineering, 173, 1808–1815.
Limon, D., Salas, F., Ramírez, D. R., Alamo, T., & Camacho, E. F. (2006). A Java-based simulator for basic control education. IFAC Proceedings Volumes, 7(PART 1), 481–486.
Morales, A. L., Chicharro, J. M., Palomares, E., Ramiro, C., Nieto, A. J., & Pintado, P. (2022). Experimental analysis of the influence of the passengers on flexural vibrations of railway vehicle carbodies. Vehicle System Dynamics, 60(8), 2825–2844.
Nandini, C. (2017). Simulation of simple harmonic oscillator using Xcos. Journal of Emerging Technologies and Innovative Research, 4(9), 831–839.
Oh, J. S., Jeon, K., Kim, G. W., & Choi, S. B. (2021). Dynamic analysis of semi-active MR suspension system considering response time and damping force curve. Journal of Intelligent Material Systems and Structures, 32(13), 1462–1472.
Pedro Henrique, O. S., Nardo, L. G., Angelo, M. M. S., Erivelton, G. N., & Matjaz, P. (2018). Graphical interface as a teaching aid for nonlinear. European Journal of Physics.
Sánchez-Fraga, R., Tecpoyotl-Torres, M., Mejía, I., Mañón, J. O., Riestra, L. E., & Alcantar-Peña, J. (2022). Optical sensor, based on an accelerometer, for low-frequency mechanical vibrations. Micromachines, 13(9).
Sari, D. Y., Ambiyar, Nurdin, H., & Purwantono. (2023). MATLAB GUI-based code for acceleration analysis in learning of kinematics. Journal of Physics: Conference Series, 2582(1).
Subramaniam, D. D., & Lim, S. C. J. (2022). An interactive visualization web application for industrial-focused statistical process control analysis. Journal of Science and Technology, 14(2), 20–30.
Tekes, A., Utschig, T., & Johns, T. (2021). Demonstration of vibration control using a compliant parallel arm mechanism. International Journal of Mechanical Engineering Education, 49(3), 266–285.
Zakaria, A. F., & Lim, S. C. J. (2017). Design and development of a training module for data-driven product-service design. IEEE International Conference on Industrial Engineering and Engineering Management, 1149–1153.
Zakaria, A. F., & Lim, S. C. J. (2022). Data analytics skill development for design education: A case study in optimal product-service bundle design. Thinking Skills and Creativity, 46, 101191.
Patar, M. N. A. A., Jusoh, M. A. M., Le, C. H., Rahman, S. M. A., & Mahmud, J. (2024). Vibration Simulation and Analysis Teaching Tool (VSATT): An Interactive Learning Tool Based on MATLAB-Simulink GUI. International Journal of Academic Research in Progressive Education and Development, 13(4), 3796–3813.
Copyright: © 2024 The Author(s)
Published by HRMARS (www.hrmars.com)
This article is published under the Creative Commons Attribution (CC BY 4.0) license. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this license may be seen at: http://creativecommons.org/licences/by/4.0/legalcode