Cutting Edge Identification Tracking for Tool Use Traceability
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Solution Overview
Problem
Current cutting tools lack effective traceability of individual cutting edges, leading to inefficient management and potential misuse, as well as suboptimal machine operation settings, which can reduce tool lifespan and processing efficiency.
Innovation Solution
A cutting tool with machine-readable identification markers on each cutting edge, allowing for precise identification and tracking of cutting edge usage, along with a system that reads these markers to associate machine operation data and optimize settings for improved performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If identification markers are added to each cutting edge, then traceability of cutting edges is improved, but device complexity increases
Solution Approach 1:
The cutting tool is segmented into multiple cutting edges, and each cutting edge is further segmented by assigning a unique identification marker. This segmentation allows individual tracking of each cutting edge while maintaining the overall structure of the cutting tool, resolving the contradiction between traceability and complexity.
Solution Approach 2:
Instead of tracking the entire cutting tool as a single unit, the system creates individual copies (identification markers) for each cutting edge. These markers serve as digital twins or identifiers that can be read and tracked separately, enabling precise traceability without significantly increasing physical complexity.
2Productivity
If machine settings are optimized for specific cutting edges, then processing efficiency is improved, but ease of operation deteriorates
Solution Approach 1:
The cutting tool performs self-service by automatically providing its own identification information through the markers. When the cutting tool is placed in the machine, the reading device automatically detects the marker and retrieves the corresponding optimized settings, eliminating the need for manual configuration and making the system both efficient and easy to operate.
Solution Approach 2:
The system implements feedback by reading the identification marker, retrieving stored settings, and automatically applying the correct machine parameters. This closed-loop feedback mechanism ensures that optimized settings are consistently applied without requiring operator intervention, resolving the contradiction between productivity and ease of operation.
3Loss of information
If reading devices are integrated in machines, then traceability of cutting edge usage is improved, but device complexity increases
Solution Approach 1:
The reading device is designed with multi-functionality, serving both as an identification reader and as a trigger for retrieving and applying optimized settings. This universal device performs multiple functions (reading, data retrieval, parameter adjustment) without requiring separate dedicated systems, thereby improving traceability while minimizing the increase in overall system complexity.
Data Source
AI summary
A system, method and computer program product arranged for managing the operation of a machine and tracing the use of a cutting edge of a cutting tool used in the operation of the machine. The method includes the steps of reading an identification marker of a cutting edge of a cutting tool inserted into the machine, decoding the identification marker to determine a cutting edge information data associated with the cutting edge, obtaining machine operation data associated with the operation of the machine from the machine, and generating a first association data indicative of the cutting edge information data and the machine operation data.