Numerical Controller for Constant Spindle Load Time Prediction
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Solution Overview
Problem
It is challenging to predict machining time when controlling the spindle feed rate to maintain a constant load, requiring multiple test machining operations with load adjustments.
Innovation Solution
A numerical controller with a spindle load detection unit, machining time setting unit, and spindle load calculation unit that detects and calculates the spindle load based on time-series data to set a desired machining time, allowing for constant load control during spindle operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Duration of action of stationary object
If the feed rate of the spindle is controlled so that the load on the spindle remains constant, then the lifetime of the tool is extended, but it becomes difficult to predict the machining time
Solution Approach 1:
The system performs preliminary test machining to collect time-series data on spindle load before actual production machining. This preliminary action enables the creation of a load model that can predict machining time for constant load control, eliminating the need for repeated test machining while extending tool lifetime.
Solution Approach 2:
The system creates a virtual copy of the machining process through mathematical modeling. By generating a load model from test machining data, the system can simulate and predict machining time for constant load conditions without performing actual test machining, thus resolving the contradiction between tool protection and time prediction.
2Manufacturing precision
If test machining is performed multiple times with adjustment of the load on the spindle to complete machining in desired time, then the machining time can be optimized, but the productivity is reduced due to repeated testing
Solution Approach 1:
The system performs a single preliminary test machining to collect data, then uses this data to create a predictive load model. This preliminary action replaces multiple iterative test machinings, allowing machining time optimization to be achieved with minimal testing and significantly improving productivity.
Solution Approach 2:
The system replaces repeated mechanical test machining operations with a mathematical prediction model. By substituting physical trial-and-error testing with computational prediction based on collected data, the system achieves machining time optimization without the productivity loss associated with multiple test runs.
3Duration of action of stationary object
If the feed rate is adjusted frequently to maintain constant load, then the tool lifetime is extended, but the device complexity increases due to feed rate control mechanisms
Solution Approach 1:
The system implements a feedback control mechanism where the spindle load is continuously monitored and the feed rate is automatically adjusted to maintain constant load. This feedback loop extends tool lifetime while managing the complexity through automated control rather than manual intervention.
Solution Approach 2:
The system enables the machining process to self-regulate by automatically adjusting feed rate based on detected spindle load conditions. This self-service capability extends tool lifetime through constant load control while reducing the need for complex external control mechanisms and manual operation.
Data Source
AI summary
A numerical controller includes: a spindle load detection unit that detects time-series data on a load on a spindle when a workpiece is machined; a machining time setting unit that sets a machining time taken in machining the workpiece; a spindle load calculation unit that, based on the time-series data, calculates a load on the spindle applied when the workpiece is machined in the machining time set by the machining time setting unit and when a feed rate of the spindle is controlled so that the load on the spindle is a constant load; and a spindle load output unit that outputs data indicating the load on the spindle calculated by the spindle load calculation unit.


