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OPTIMIZING TRACKED VEHICLE PERFORMANCE IN SWAMP PEAT: SINKAGE AND INTELLIGENT ADDITIONAL TRACK MECHANISM ANALYSIS

Amran Aziz , Centre for Advanced Mechatronics and Robotics, College of Engineering, Universiti Tenaga Nasional (UNITEN), Jalan Ikram-Uniten, Kajang, Selangor, Malaysia

Abstract

Tracked vehicles operating in swamp peat environments face unique challenges due to the soft and unstable nature of the terrain. Sinkage, the vertical displacement of the vehicle into the soil, significantly affects vehicle mobility and performance in such conditions. This study investigates the impact of sinkage on tracked vehicle performance in swamp peat and explores the effectiveness of an intelligent additional track mechanism in mitigating sinkage and enhancing mobility. Through experimental analysis and simulation, we evaluate the influence of various factors, including vehicle weight, track design, and soil properties, on sinkage behavior. Furthermore, we propose and assess the performance of an intelligent additional track mechanism designed to dynamically adjust track width and distribution of ground pressure. The findings offer valuable insights into optimizing tracked vehicle performance in swamp peat environments and advancing the design of intelligent mobility solutions for challenging terrains.

Keywords

Tracked vehicle, swamp peat, mobility

References

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Amran Aziz. (2024). OPTIMIZING TRACKED VEHICLE PERFORMANCE IN SWAMP PEAT: SINKAGE AND INTELLIGENT ADDITIONAL TRACK MECHANISM ANALYSIS. American Journal of Applied Science and Technology, 4(06), 1–5. Retrieved from https://www.theusajournals.com/index.php/ajast/article/view/3046