Machining Program Restart Using State Change Point Detection
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Solution Overview
Problem
Current machining restart systems in numerical controllers often fail to accurately identify the optimal restart point, leading to unnecessary stops and increased cycle time, as they rely on predefined interruption points rather than detecting changes in the machining state, which can result in inefficient storage and operator-dependent restart selections.
Innovation Solution
A program restart assisting apparatus that includes a data acquisition unit, machining state change point detection unit, restartable point recording unit, and restart execution point selection unit, which analyzes time series data from industrial machines to identify and record change points in machining states, such as torque, vibration, or temperature, to provide more accurate restartable points, reducing storage needs and operator reliance on rules of thumb.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If machining is stopped immediately on detecting an abnormal point for preventive maintenance, then reliability is improved, but productivity deteriorates due to false detection generating useless stops and extending cycle time
Solution Approach 1:
The system changes the parameter for determining restartable points from fixed predefined positions to dynamic positions based on machining state changes. By monitoring machining state parameters (vibration, temperature, torque) and detecting their change points, the system dynamically determines where to restart machining, balancing preventive maintenance with avoiding false stops that extend cycle time
Solution Approach 2:
The system introduces feedback by continuously monitoring machining state and using this information to determine appropriate restartable points. The machining state change detection provides feedback that guides the selection of restart positions, allowing the system to adapt to actual machining conditions rather than relying on predetermined stops
2Adaptability or versatility
If a large number of restartable points are stored to enable selection of points close to desired restart position, then adaptability is improved, but device complexity increases due to increased storage capacity requirements
Solution Approach 1:
The system extracts only the essential information needed for restart point selection by identifying and storing only the positions where machining state changes occur. Instead of storing all possible restartable points, it extracts and stores only the change points of machining state, which are the critical positions for determining where to restart machining
Solution Approach 2:
The system performs preliminary detection and recording of machining state change points during normal machining operations. By pre-identifying and storing these change points as they occur, the system prepares the necessary restart information in advance, reducing the need for extensive storage of alternative restart positions
Data Source
AI summary
A program restart assisting apparatus acquires time series data of a physical amount detected in machining, detects a change point on which a machining state of the machining is changed based on the acquired data, and records the change point of the machining state as a restartable point. Then, the program restart assisting apparatus selects a restart execution point from among the recorded restartable points, with the result that an appropriate restartable point can be easily selected.