Wheelset Geometry Measurement for Conicity and Radial Run-Out
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Solution Overview
Problem
Current wheelset processing and diagnosis systems lack the capability to accurately measure and evaluate geometric parameters such as equivalent conicity and concentricity, particularly in high-speed rail applications, which poses safety concerns.
Innovation Solution
The method involves recording point-by-point scan data using a control system in wheelset processing or diagnosis machines, with measurements taken from a measuring circle plane and processing algorithms to calculate equivalent conicity and concentricity, including polygon evaluation, allowing for visualization and logging of results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional measurement methods are used for wheelset geometric parameters, then basic profile wear detection is achieved, but equivalent conicity and concentricity parameters cannot be accurately measured
Solution Approach 1:
The measurement system is designed to perform multiple functions: basic profile wear detection, equivalent conicity measurement, and concentricity/polygon evaluation. The control system integrates various measurement tasks into a unified platform that can acquire and process different types of geometric data using the same hardware infrastructure, thereby improving measurement precision without proportionally increasing device complexity
Solution Approach 2:
A measuring circle plane is introduced as an intermediary reference element. All measurements for profile wear, equivalent conicity, and concentricity are referred to this common plane, which serves as a mediator that enables accurate determination of multiple geometric parameters from a single measurement setup, resolving the contradiction between measurement capability and system complexity
2Reliability
If additional geometric parameters (equivalent conicity, concentricity) are measured, then safety assessment is improved, but measurement and evaluation time increases
Solution Approach 1:
The system performs preliminary data acquisition during the wheelset rotation, collecting all necessary measurement points for profile wear, equivalent conicity, and concentricity in a single pass. The control system is pre-programmed with algorithms that process the raw measurement data and calculate all geometric parameters simultaneously, rather than performing separate measurement campaigns, thus improving reliability without significant time penalty
Solution Approach 2:
The measurement process continues uninterrupted during wheelset rotation. The control system continuously acquires measurement data at multiple points around the wheel circumference and performs real-time evaluation of all geometric parameters. This continuous measurement approach ensures comprehensive safety assessment while minimizing measurement time by avoiding stop-and-go procedures
3Measurement precision
If point-by-point scan measurement is performed for equivalent conicity and concentricity, then measurement accuracy is improved, but data processing complexity increases
Solution Approach 1:
The measurement data is segmented into distinct sets corresponding to different geometric parameters: profile wear data, equivalent conicity data, and concentricity data. The control system applies specific evaluation algorithms to each segment independently, processing measurement points according to the particular requirements of each parameter type. This segmented approach maintains high measurement precision while managing data processing complexity through systematic organization
Solution Approach 2:
The measuring circle plane serves as an intermediary reference that simplifies data processing. All measurement points are coordinated relative to this plane, providing a common reference framework that enables straightforward calculation of equivalent conicity and concentricity parameters from the raw scan data, reducing the complexity of data processing while maintaining accuracy
Data Source
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AI summary
The invention relates to a method for measuring and calculating geometric parameters of the wheels of a wheelset for rail vehicles, wherein the wheelset to be evaluated is rotatably mounted in a wheelset machine tool or in a wheelset diagnostic system and wherein measured values for profile measurement with respect to profile wear to be detected are determined during rotational motion of said wheelset. The problem addressed by the invention is to expand already available measuring methods on known wheelset machine tools and wheelset diagnostic systems in such a way that further geometric parameters can be detected and evaluated. This problem is solved in that methods for measuring and calculating the equivalent conicity and the radial run-out property of a wheelset are integrated as new measurement functions, wherein solution approaches are proposed for these additional methods.