Modeling and Dynamic Simulation of an Automated Exercise Bed's Swing-Board Mechanism for Recuperating Patient

Authors

  • Dandakouta Habou Department of Mechanical/Production Engineering, Abubakar Tafawa Balewa University Bauchi.
  • Abdullahi Lanre Amoo Department of Electrical and Electronics Engineering, Abubakar Tafawa Balewa University Bauchi.
  • Salawu Bashiru Ugonoh * Power Equipment and Electrical Machinery Development Institute (PEEMADI), Okene.

https://doi.org/10.48314/imes.v3i1.53

Abstract

This study aimed to dynamically model and optimize the swing-board mechanism of an automated exercise bed’s swing-board mechanism for patient rehabilitation, addressing the global shortage of physiotherapists and the need for safe, autonomous therapy. Using a four-bar linkage configuration with initial dimensions of AB=150 mm, BC=400 mm, CD=350 mm, and AD=500 mm, the research applied Lagrangian mechanics and numerical simulation in MATLAB to derive motion equations and assess forces, velocities, and stresses. Optimized link lengths (AB=122 mm, BC=326 mm, CD=285 mm, AD=375 mm) produced a smooth vertical stroke of 0.463 m at 0.318 Hz, with peak velocity and acceleration kept below safety thresholds at 0.85 m/s and 3.2 m/s², respectively. Static and dynamic analyses using 6061 aluminum revealed a maximum von Mises stress of 28.45 MPa and safety factors between 9.7 and 15.2, ensuring structural integrity. The model demonstrated high energy conservation (ΔE=0.023 J/cycle) and periodicity (99.97% cycle match). The study uniquely integrates dynamic optimization with therapeutic motion profiles, offering a cost-effective design alternative to imported systems. A limitation includes the assumption of idealized patient loading, thus further validation with human subjects is recommended. 

Keywords:

Automated rehabilitation, Swing-board mechanism, Four-bar linkage, Lagrange method, Dynamic simulation, Kinematic optimization, Physiotherapy device

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Published

2026-03-16

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Vol. 3 No. 1 (2026): Intelligence Modeling in Electromechanical Systems (IMES)

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How to Cite

Habou, D., Amoo, A. L., & Ugonoh, S. B. (2026). Modeling and Dynamic Simulation of an Automated Exercise Bed’s Swing-Board Mechanism for Recuperating Patient. Intelligence Modeling in Electromechanical Systems, 3(1), 42-56. https://doi.org/10.48314/imes.v3i1.53

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