Machine Tool Accuracy Drift Prediction for Planned Adjustment
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for determining the timing of accuracy adjustments for machine tools are inefficient, as they require advance planning and cannot predict when future adjustments are needed, especially in large-sized machines with expensive and hard-to-handle measuring devices.
Innovation Solution
An accuracy diagnostic device with a change amount detecting unit, recording unit, predictor, and timing presenter, which uses a formula incorporating change and elapsed time to forecast future accuracy changes and suggest adjustment times, allowing for predictive maintenance and scheduling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If periodic accuracy measurements and adjustments are executed using laser measuring devices, then machining accuracy is maintained, but measurement time increases especially for large-sized machine tools
Solution Approach 1:
The system performs preliminary accuracy diagnosis by detecting change amounts in machine tool states and surrounding environments, then predicts future accuracy changes before they occur. This allows scheduling adjustments at optimal times rather than performing periodic measurements, reducing measurement time while maintaining accuracy.
Solution Approach 2:
The machine tool system monitors its own accuracy state by detecting changes in its operational parameters and environmental conditions. This self-monitoring capability eliminates the need for external laser measuring devices and periodic manual measurements, significantly reducing measurement time while maintaining continuous accuracy tracking.
2Manufacturing precision
If accuracy adjustment is requested to a person responsible instead of user self-adjustment, then adjustment quality improves, but scheduling complexity increases requiring advance planning
Solution Approach 1:
The system provides automated feedback by predicting future accuracy changes and notifying the responsible person in advance of when adjustments will be needed. This feedback mechanism includes specific timing predictions, allowing the responsible person to plan adjustments efficiently without complex scheduling requirements. The notification system reduces scheduling complexity by providing clear, data-driven timing recommendations.
3Measurement precision
If current accuracy state is diagnosed based on temperature information, then accuracy change detection is enabled, but future accuracy adjustment timing prediction is not possible
Solution Approach 1:
The system detects change amounts in machine tool states and surrounding environments, then uses these data to predict future accuracy changes before they occur. By analyzing trends in detected changes over time, the system can forecast when accuracy thresholds will be exceeded, providing advance timing predictions for required adjustments. This transforms reactive diagnosis into proactive prediction, preventing information loss about future timing.
Data Source
AI summary
An accuracy diagnostic device includes a change amount detecting unit, a change amount recording unit, an accuracy change predictor, and an accuracy adjustment timing presenting unit. The change amount detecting unit detects a magnitude of a change in at least one of a state of a machine tool and a surrounding environment of the machine tool as a change amount. The change amount recording unit records the change amount. The accuracy change predictor predicts a future accuracy change of the machine tool using the change amount recorded in the change amount recording unit. The accuracy adjustment timing presenting unit presents a timing at which an accuracy adjustment is to be required for the machine tool based on the accuracy change predicted by the accuracy change predictor.