Machine Axis Diagnostic Motion Profiles for Mechatronic Measurement
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods lack an automated solution for generating control programs for production machines or machine tools specifically designed for diagnostic purposes to determine mechatronic characteristic variables of feed axes, such as rigidity, friction, and synchronization errors.
Innovation Solution
An algorithm-generated control program defines a movement profile with test runs that excite the machine axis, allowing for the determination of mechatronic characteristic variables, using freely selectable and machine-specific parameters, enabling the creation of a database for comparison and evaluation across different machines.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If control programs are manually created for diagnostic purposes, then measurement precision for mechatronic characteristic variables can be achieved, but device complexity and time consumption increase
Solution Approach 1:
The control program automatically generates its own test movements and measurement sequences based on pre-stored movement profiles, eliminating the need for manual program creation. The system self-configures the diagnostic procedure by selecting appropriate movement profiles from its database and executing them automatically on the machine axis under test.
Solution Approach 2:
The system uses pre-stored movement profiles that define specific movement parameters (acceleration, velocity, position) optimized for determining different mechatronic characteristic variables. By changing the movement parameters according to the stored profiles, the system can automatically adapt to different diagnostic requirements without manual intervention.
2Productivity
If automated control program generation is implemented, then productivity and ease of operation improve, but measurement precision may be compromised
Solution Approach 1:
Movement profiles optimized for specific measurement purposes are pre-stored in the system database before actual diagnostic execution. These pre-configured profiles contain all necessary movement parameters and measurement sequences, allowing the automated system to simply retrieve and execute them, thereby maintaining measurement precision while achieving automation.
Solution Approach 2:
The system uses standardized movement profiles that can be copied and applied to different machines and diagnostic scenarios. These profiles represent proven measurement sequences that have been optimized for accuracy, and their replication across different automated diagnostic tasks ensures consistent measurement precision without requiring re-engineering of each diagnostic program.
3Adaptability or versatility
If diagnostic programs are created for each specific machine axis, then adaptability to different machines improves, but device complexity increases
Solution Approach 1:
The system employs universal movement profiles that can be applied to different machine axes and diagnostic purposes. A single standardized profile structure serves multiple functions by adjusting movement parameters, eliminating the need for completely separate diagnostic programs for each axis type while maintaining adaptability through parameter customization.
Data Source
AI summary
A method and a device operating according to the method automatically generate a control program designed for diagnostic purposes of a production machine or machine tool. The control program is generated using freely selectable parameters and/or machine-specific parameters by an algorithm which defines a movement profile. The movement profile incorporates at least one test run for at least one axis of the respective production machine or machine tool, wherein the at least one test run produces an axis excitation which is suitable for determining at least one mechatronic characteristic variable of the respective axis.