NC Machine Tool Pitch And Yaw Error Identification From 3D Trajectories
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Solution Overview
Problem
Existing methods for identifying pitch error and yaw error in numerically-controlled (NC) machine tools are limited by requiring multiple measurements and are not suitable for current geometric error measurement and identification, leading to redundancy and complexity in error computation.
Innovation Solution
A method that acquires a Cartesian coordinate system, sets each axis as a movement axis with three parallel measurement trajectories, and uses spatial angle geometric relationships to directly measure positioning errors, enabling simultaneous identification of pitch and yaw errors with reduced redundancy and complexity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional methods are used to identify pitch error and yaw error, then measurement data can be collected, but multiple measurements of positioning error are required and the process becomes complex and redundant
Solution Approach 1:
The patent segments the error identification process by separating perpendicularity error identification from pitch and yaw error identification. By first identifying and eliminating perpendicularity errors, then using the remaining data to identify pitch and yaw errors, the method avoids redundant measurements while maintaining accuracy.
Solution Approach 2:
The patent transitions from traditional two-dimensional measurement planes to three-dimensional spatial trajectory analysis. By measuring actual trajectories in 3D space and comparing them with ideal trajectories, the method directly identifies pitch and yaw errors without requiring multiple separate measurements in different planes.
2Measurement precision
If traditional methods require multiple measurements in the same coordinate axis plane, then pitch error and yaw error can be identified, but the measurement process becomes time-consuming and redundant
Solution Approach 1:
The patent merges perpendicularity error identification and pitch/yaw error identification into a single integrated measurement process. By simultaneously analyzing positioning errors from three non-coplanar parallel trajectories, the method identifies all three error types without requiring separate measurement campaigns, significantly reducing measurement time.
Solution Approach 2:
The patent performs preliminary elimination of perpendicularity error influence before identifying pitch and yaw errors. By first calculating and removing perpendicularity error components from the measured data, the method prepares cleaned data that directly reveals pitch and yaw errors, avoiding the need for repeated measurements.
3Measurement precision
If traditional methods select a plane parallel to the coordinate system plane for measurement, then perpendicularity error can be identified first, but the method is greatly limited in practical application
Solution Approach 1:
The patent creates a universal measurement method that works with any three non-coplanar parallel trajectories, regardless of their specific orientation or position. The method can identify perpendicularity errors, pitch errors, and yaw errors simultaneously for any movement axis, making it adaptable to various machine tool configurations and measurement scenarios.
Solution Approach 2:
Instead of selecting measurement planes parallel to coordinate system planes as traditional methods do, the patent inverts the approach by selecting three non-coplanar parallel trajectories that are not necessarily aligned with coordinate planes. This inversion allows measurement in more practical and flexible configurations while maintaining the ability to identify all geometric errors.
Data Source
AI summary
A method for identifying pitch error and yaw error of a numerically-controlled (NC) machine tool, including: acquiring a Cartesian coordinate system of a target machine tool; setting each axis of the Cartesian coordinate system as movement axis, where each movement axis has three measurement trajectories, and the three measurement trajectories are mutually parallel to the corresponding axis, and not on the same plane; selecting an axis as the movement axis; and obtaining positioning error data between an actual operation measurement point and an ideal operation measurement point of the target machine tool when the target machine tool moves along the three measurement trajectories corresponding to the movement axis; and according to spatial angle geometric relationship and the positioning error data, obtaining a pitch error angle and a yaw error angle of the target machine tool.