Analysis of Variables Influencing Towing Limits in Self-Propelled Rail Track Maintenance Equipment
Journal Title: Mechatronics and Intelligent Transportation Systems - Year 2024, Vol 3, Issue 2
Abstract
The towing limits for self-propelled rail track maintenance equipment (SP-TME) are influenced by a multitude of factors, including the type and weight of the equipment, speed, braking capabilities, track and weather conditions, traction, engine power, driveline performance, coupler/towing link integrity, and safety regulations. This study investigates these variables to determine their impact on the towing limits of SP-TME. Unlike traditional rail vehicles, SP-TME possesses unique operational constraints and specifications, necessitating careful consideration of its independent mobility. An extensive analysis was conducted on the towing usage and overuse of SP-TME during travel mode, examining various scenarios that incorporate different combinations of trailing load, rail track grade, rail curvature, and weather conditions. These scenarios, ranging from normal to worst-case, aim to simulate demanding operational environments. The parameters evaluated include structural strength, traction, engine and driveline performance, wheel rolling and skidding, braking capabilities, trailing load, speed, and track and weather conditions. Results indicate that under normal and moderate conditions, the equipment can tow significantly higher loads than the defined base load. However, in special situations, such as negotiating tighter curves and steeper grades in adverse weather conditions, wheel skidding and locking emerge as limiting factors. Findings related to service and parking brake performance during steep grade descents, particularly when the trailer lacks independent braking capabilities, are also presented. Recommendations and cautions are provided to ensure safe and efficient operation of SP-TME under various conditions.
Authors and Affiliations
Dipak Patil
Keywords
Related Articles
- EP ID EP742912
- DOI -
- Views 21
- Downloads 0
Pavement Condition Assessment Using Pavement Condition Index and Multi-Criteria Decision-Making Model
Road maintenance is essential to the growth of the transportation infrastructure and, thereby, has a big impact on a nation's overall economic stability and prosperity. It is impossible to simultaneously monitor and main...
A Bibliometric Analysis of Trends and Collaborations in Autonomous Driving Research (2002-2024)
Through the deployment of bibliometric techniques and network visualizations, this analysis synthesizes the evolution and trajectories of autonomous driving research from 2002 to May 2024, as captured in the Scopus datab...
Incorporating Climate Change Resilience in India’s Railway Infrastructure: Challenges and Potential
This study delves into the crucial task of embedding climate change resilience within the sphere of railway infrastructure planning and design in India. As climate change continues to threaten global transportation syste...
Dynamic Performance of Low- and Medium-Speed Maglev Train Running on the Turnout
This study aimed to analyze dynamic performance of the low- and medium-speed maglev train on the turnout, by conducting a series of field tests on the Fenghuang maglev sightseeing express line. This study systematically...
Influence of Electromagnet-Rail Coupling on Vertical Dynamics of EMS Maglev Trains
Active control is essential for EMS maglev trains to achieve stable suspension. Currently, the main line's suspension performs well, but in areas with low track stiffness, such as the garage, turnouts, and other lines, u...