Abstract
Background: The traditional chord reference method and its device have faced challenges matching the sharp curve track. Thus, it is of utmost importance to research and develop a measurement device and method that can obtain accurate and comprehensive information regarding rail running band corrugation.
Aims: It provides a solution for the measurement of the multi-point chord reference method on sharply curved rails and, at the same time, meets the demand for data richness and accuracy in theoretical studies on the causes of rail corrugation and wheel-rail contact relationships.
Objective: This paper aims to research and design a measurement device based on the multi-point chord reference method for the rail running band corrugation. Meanwhile, the error in measuring the sharp curve rail is corrected and verified by simulation.
Methods: The lateral information of rail running band is obtained by using a line laser profile sensor; the rail corrugation measurement model and error correction model of the rail running band area are established based on multi-point reference system; the simulation of the system model is carried out using Matlab; and the mechanical structure is built for static testing.
Results: The measurement model based on the profile sensor and multi-point chord reference system can accurately obtain the rail corrugation waveform of any longitudinal measurement line in the running band area. The measurement results can be accurately corrected for a radius of 200m- 400m, the error parameters can be effectively improved, and the mechanical mechanism of the measurement system runs stably.
Conclusion: The results show that the measurement model can accurately measure the rail corrugation of the sharp curve section, and the multi-waveform in the rail running band area has good measurement performance, but the mechanical structure can be optimized and improved in the light weight.
Keywords: Rail corrugation, rail running band, rail measurement device, multi-point chord reference method, error correction, sharp curve track
Call for Papers in Thematic Issues
Advances in Micromanufacturing Processes.
This special issue welcomes original high-quality research papers in the areas of traditional and advanced Micromanufacturing Science and Technology. To name some of the areas but not limited to, are as follows: Micromachining, Nanofinishing, Microjoining, Microforming, Microforging, Microcasting, Additive microfabrication, High aspect ratio fabrication, Lithography, LIGA, Micro- / nano-metrology, Micro ...read more
Bio-inspired Optoelectronics for Solar Energy Conversion
The development and manufacture of micro/nanostructures on optoelectronic materials and protection layers to provide a range of capabilities have been made possible by bio-inspiration and advancements in nanomanufacturing methods. These designed surfaces may be employed in both conventional rigid structures and the new flexible variants in numerous optoelectronic devices, including ...read more
Data-Driven Optimization of Manufacturing Processes using Machine Learning and Data Visualization
This special issue explores the transformative impact of data-driven optimization in the aerospace sector and manufacturing process, where complex, multipurpose challenges arise. As manufacturing digitizes, modest and medium-sized businesses encounter issues such as lack of expertise, funding, and varied, opaque data formats. Machine learning and big data methodologies offer solutions ...read more
Digital Twins in Industrial Networks for Predictive Maintenance Using Neural Networks
Predictive maintenance, supported by digital twins, enhances industry profitability, safety, and sustainability. Digital twins—accurate digital replicas of physical systems—provide real-time data for predicting asset wear and ensuring efficient maintenance. Integrating IoT enables seamless communication between digital and physical systems, enhancing predictive capabilities. Digital twins aid in preventing service erosion and ...read more
Related Books
Advanced Characterization Technologies for Secondary Batteries
Design and Construction of Buildings and Foundations with Illustrative Examples
Robotics and Automation in Industry 4.0
Biomedical Applications of Perovskites: The Era of Bio-Piezoelectric Systems
Smart Kinematics For Modern Engineering Students
Computational Modeling and Simulation in Biomedical Research
Introduction to Advanced Soft Robotics
Intelligent Technologies for Research and Engineering
The Production of Biodiesel and Related Fuel Additives
Intelligent Technologies for Research and Engineering
