Machining Load Detection Using Mode-Specific Thresholds
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Solution Overview
Problem
Conventional removal machining devices detect machining loads using a single threshold that includes a margin, leading to potential damage during idling operations, as it fails to differentiate between idling and actual machining conditions, resulting in unnecessary stoppages.
Innovation Solution
A detection device that acquires idling and expected machining thresholds, calculates an actual machining threshold, and detects excess loads based on operating modes to prevent damage by distinguishing between idling and actual machining operations, thereby adjusting the detection criteria according to operating conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a single threshold including margin is used for load detection, then tool damage can be prevented during actual machining, but unnecessary stoppages occur during idling operations
Solution Approach 1:
The patent applies dynamics by making the detection threshold variable rather than fixed. The threshold dynamically changes based on the operating mode: a first threshold is used during idling feed operations and a second threshold (higher than the first) is used during actual machining operations. This dynamic adjustment prevents unnecessary stoppages during idling while maintaining tool protection during machining.
Solution Approach 2:
The patent changes the detection parameter (threshold value) according to operating conditions. By switching between a lower threshold for idling operations and a higher threshold for actual machining, the system adapts the detection criteria to match the current operational context, thereby avoiding false positives during idling while maintaining safety during machining.
2Productivity
If a higher threshold is used to avoid stoppages during idling, then operational continuity improves, but tool damage detection sensitivity decreases
Solution Approach 1:
The system dynamically adjusts the detection threshold based on operating mode. During idling operations, a lower first threshold maintains high sensitivity for detecting abnormal loads. During actual machining, a higher second threshold is applied, which is appropriate for the expected load levels during machining while still detecting genuine abnormalities.
Solution Approach 2:
Different detection criteria (thresholds) are applied to different operational contexts. The first threshold is optimized for detecting abnormalities during idling operations, while the second threshold is optimized for actual machining operations. Each threshold is locally optimized for its specific operational context.
Data Source
AI summary
A detection device includes an idling feed threshold acquiring unit configured to acquire, as an idling feed threshold, a threshold of an acceptable load in an idling feed operation; an expected load acquiring unit configured to acquire, as an expected load, an expected increase in load due to execution of an actual machining operation; a calculating unit configured to calculate, based on the idling feed threshold and the expected load, an actual machining threshold which is a threshold of an acceptable load in the actual machining operation; an actual machining load acquiring unit configured to acquire, as an actual machining load, an actual load during an actual machining operation; and a detecting unit configured to detect, based on the operating mode, an excess of the actual machining load relative to the idling feed threshold or the actual machining threshold.