Cutting Edge Identification for Tool Wear Traceability
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Solution Overview
Problem
Current cutting tools lack effective traceability of individual cutting edges, leading to inefficient management and reduced tool lifetime due to unknown wear patterns and improper machine settings, affecting material processing quality.
Innovation Solution
The system incorporates machine-readable identification markers on each cutting edge, allowing for precise identification and tracking of cutting edge usage, along with machine operation data, enabling optimized machine settings and extended tool life.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If only cutting tool identification is tracked without individual cutting edge identification, then the management system remains simple, but traceability of specific cutting edges is lost
Solution Approach 1:
The patent divides the cutting tool into multiple independently identifiable cutting edges, with each edge having its own identification marker. This segmentation allows individual tracking of each cutting edge's usage, wear, and performance history, resolving the information loss about specific edges while maintaining manageable complexity through modular identification.
Solution Approach 2:
The patent adds a new dimension of identification by placing markers directly on cutting edges rather than just on the tool body. This dimensional shift from tool-level to edge-level identification enables granular traceability without requiring complete system redesign, as the additional identification layer works alongside existing tool management infrastructure.
2Reliability
If machine settings are not optimized for specific cutting edges, then the configuration process remains simple, but cutting edge lifetime and processing quality deteriorate
Solution Approach 1:
The patent implements a feedback mechanism where machine settings are automatically adjusted based on identification data from specific cutting edges. The system retrieves edge-specific parameters and feeds them back to the machine control, enabling optimized settings for each cutting edge while automating the complexity of settings management through data-driven adjustments.
Solution Approach 2:
The patent applies preliminary action by pre-configuring optimal machine settings for each cutting edge identification marker. Before processing begins, the system reads the marker, retrieves pre-determined optimal settings, and configures the machine in advance, eliminating the need for complex real-time adjustments and ensuring consistent processing quality from the start.
3Duration of action of moving object
If cutting edges are not individually monitored, then the monitoring system remains simple, but tool lifetime and usage optimization are reduced
Solution Approach 1:
The patent enables self-service monitoring where each cutting edge automatically provides its own identification data through embedded markers. The system reads these markers to automatically track usage, wear, and lifetime without requiring manual intervention or complex external monitoring infrastructure, extending cutting edge life through automated, edge-specific management.
Solution Approach 2:
The patent replaces manual mechanical tracking methods with automated optical or electromagnetic reading of identification markers. This substitution eliminates the need for physical inspection and manual recording, enabling automatic monitoring of each cutting edge's usage and lifetime while reducing the complexity of the monitoring system through non-contact, rapid data acquisition.
Data Source
Figure 1a~1b
Figure 1c~1d
Figure 2a~2b
AI summary
A system, method and computer program product (500) for managing the operation of a machine (90) and tracing the use of a cutting edge (21, 22) of a cutting tool (20) used in the operation of the machine (90), the method comprising the step of (S2) reading an identification marker (41, 42) of a cutting edge (21, 22) of a cutting tool (20) inserted into the machine (90), (S3) decoding the identification marker (41, 42) to determine a cutting edge information data (1celD, 2celD) associated with the cutting edge (21, 22), (S5) obtaining machine operation data (1mOD, 2mOD) associated with the operation of the machine (90) from the machine (90), and (S10) generating a first association data (1AD) indicative of the cutting edge information data (1celD, 2celD) and the machine operation data (1mOD, 2mOD).