Machining Condition Prediction from Dynamic Tool State Data
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Solution Overview
Problem
Existing techniques fail to account for dynamic changes in tool state during machining, which can adversely affect workpiece quality.
Innovation Solution
An information processing device that utilizes state variable and quality prediction models, such as CNN and RNN, to dynamically adjust machining conditions based on real-time tool state data, ensuring high-quality workpiece production.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If traditional machining control is used without considering dynamic tool state changes, then the control system is simple and easy to operate, but the workpiece quality deteriorates due to unaccounted tool state variations
Solution Approach 1:
The patent implements feedback by acquiring actual tool state variables during machining, comparing them with reference values, and adjusting machining conditions based on the deviation. This closed-loop feedback mechanism enables the system to adapt to dynamic tool state changes and maintain workpiece quality without requiring overly complex control architecture
Solution Approach 2:
The system performs self-adjustment by automatically acquiring tool state data, predicting quality outcomes, and modifying machining parameters without external intervention. This self-service capability allows the control system to adapt dynamically while maintaining operational simplicity for the user
2Manufacturing precision
If machining conditions are adjusted dynamically based on tool state changes, then workpiece quality is maintained or improved, but the processing time increases due to continuous monitoring and adjustment
Solution Approach 1:
The system performs preliminary quality prediction using acquired tool state variables before completing the machining operation. By predicting quality outcomes in advance based on current tool state, the system can proactively adjust parameters to prevent quality degradation, reducing the need for rework and time-consuming corrections
Solution Approach 2:
The patent implements dynamic adjustment of machining conditions based on real-time tool state monitoring. The system continuously adapts machining parameters to match changing tool characteristics, enabling quality maintenance throughout the machining process without requiring excessive time for static pre-planning or post-correction
3Manufacturing precision
If tool state monitoring and quality prediction are implemented, then workpiece quality is improved through adaptive control, but the system complexity and computational requirements increase
Solution Approach 1:
The patent replaces complex mechanical control systems with information processing and computational prediction. By using algorithms to analyze tool state variables and predict quality outcomes, the system achieves adaptive control through software-based solutions rather than complex hardware mechanisms, reducing overall system complexity
Data Source
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AI summary
There are provided an information processing device, an information processing method, and an information processing program that can obtain a workpiece having good quality. An information processing device includes at least one processor, and the processor acquires a dynamic state variable at a first time point, which is related to an element correlated with quality of a workpiece to be machined according to a set machining condition, and the machining condition at the first time point, predicts the state variable at a second time point after the first time point on the basis of the state variable and the machining condition at the first time point, and derives the machining condition at the second time point, which is required to achieve predetermined target quality of the workpiece, on the basis of the predicted state variable at the second time point.