Machine Tool Warm-Up Using Spindle Thermal Displacement Prediction
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Solution Overview
Problem
Existing machine tool warm-up methods are inefficient and inaccurate, affecting machining precision and production scheduling due to unreliable temperature-based completion criteria and inability to predict thermal displacement errors at the spindle tip point.
Innovation Solution
A method involving temperature and thermal displacement data to establish a thermal compensation model using machine learning, estimating thermal displacement at the spindle tip point and quantifying warm-up completion degree, allowing for precise and timely completion of the warm-up process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If the warm-up time is extended to ensure complete warm-up, then machining accuracy is improved, but production scheduling efficiency deteriorates
Solution Approach 1:
The system continuously monitors temperature changes at multiple components during warm-up and feeds this data back to the thermal compensation model. The model dynamically adjusts thermal displacement estimates based on actual temperature measurements, enabling real-time assessment of warm-up completion rather than relying on fixed time schedules. This feedback mechanism allows the system to determine the precise moment when thermal stability is achieved, optimizing both accuracy and productivity.
Solution Approach 2:
The invention transitions from using fixed time-based warm-up schedules to dynamic parameter-based assessment. By monitoring temperature parameters at multiple components and using these to calculate thermal displacement parameters through the compensation model, the system adapts the warm-up duration to actual thermal conditions. This parameter change approach allows early termination of warm-up when stability is achieved, improving production efficiency without compromising machining accuracy.
2Ease of operation
If temperature measurement is used to judge warm-up completion, then the process is simple to implement, but measurement precision deteriorates due to external heat sources and ambient temperature variations
Solution Approach 1:
The thermal compensation model acts as an intermediary that processes raw temperature measurements from multiple components. Instead of directly using single-point temperature readings to judge warm-up completion, the model integrates temperature data from multiple components, compensates for ambient variations, and calculates the resulting thermal displacement at the spindle tip. This intermediary processing significantly improves measurement precision while maintaining operational simplicity.
Solution Approach 2:
The system uses multiple temperature sensors placed at different components (spindle, tool holder, workpiece) to simultaneously monitor various thermal conditions. This multi-functional temperature monitoring approach allows the system to capture comprehensive thermal behavior, making the warm-up completion judgment more accurate despite external heat sources and ambient variations, while still using simple temperature measurement techniques.
3Ease of operation
If temperature at a specific component is used to assess warm-up completion, then the measurement is straightforward, but reliability deteriorates because thermal displacement at spindle tip cannot be accurately reflected
Solution Approach 1:
The system divides the thermal monitoring task into multiple segments by placing temperature sensors at different critical components (spindle, tool holder, workpiece). Each sensor monitors the thermal state of its specific component. The thermal compensation model then integrates these segmented temperature measurements to calculate the overall thermal displacement at the spindle tip. This segmentation approach provides a more reliable and comprehensive assessment of warm-up completion compared to monitoring a single component.
Solution Approach 2:
The thermal compensation model serves as an intermediary that transforms simple temperature measurements from multiple components into an accurate estimate of thermal displacement at the spindle tip. By using this intermediary calculation process, the system maintains the simplicity of temperature measurement while achieving reliable assessment of warm-up completion based on the actual thermal state affecting machining accuracy.
4Ease of operation
If conventional temperature-based criterion is used, then the judgment method is simple, but the completion time of warm-up cannot be effectively controlled or predicted
Solution Approach 1:
The system implements continuous feedback by monitoring temperature changes at multiple components throughout the warm-up process. The thermal compensation model uses this feedback to dynamically estimate thermal displacement and calculate the warm-up completion degree. This real-time feedback enables effective control and prediction of warm-up completion time, allowing the system to identify the precise moment when thermal stability is achieved, thereby reducing unnecessary warm-up duration and improving time utilization.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables accurate prediction of warm-up completion, reducing time costs and ensuring machining precision by quantifying thermal displacement, facilitating efficient scheduling of subsequent operations.
Implementation Method 1
thermal expansion or contraction of the heat-affected component
Implementation Method 2
temperature change data and thermal displacement data of a spindle
Data Source
AI summary
An intelligent warm-up method of machine tool, applicable to a machine tool, includes: a step of, based on temperature change data and thermal displacement data of a spindle measured at different time points, establishing a thermal compensation model; a step of, while the machine tool performs a warm-up process, inputting temperature change values measured at least one component of the machine tool at intervals to the thermal compensation model to obtain corresponding thermal-displacement estimated values of the spindle at different time points and changes of thermal displacement values at individual time points; and, a step of, based on the changes of the thermal displacement values at the individual time points, deriving corresponding warm-up completion degrees.