Machine Tool Control with Automatic Tool Data Recognition
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Solution Overview
Problem
Machine tools, such as sawing machines, require tool-specific process data for optimal operation, which can lead to errors if not correctly entered by operators, resulting in inefficient processing times and potential tool damage.
Innovation Solution
Incorporating detection means, such as sensors for reading tool-specific codes, into the control device of machine tools to automatically identify tools and retrieve corresponding process data specifications from external sources, eliminating the need for operator intervention and ensuring optimized operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual entry of tool-specific process data is used, then operator control is maintained, but errors occur and processing time increases
Solution Approach 1:
The control device automatically retrieves and enters tool-specific process data using its communication interface and detection means, eliminating the need for manual operator input. The system serves itself by autonomously identifying the tool via code detection and fetching corresponding process parameters from external sources or memory.
Solution Approach 2:
The manual mechanical process of operator data entry is replaced by an automated electronic system. Detection means (such as optical or RFID sensors) automatically identify the tool, and the communication interface electronically retrieves process data, substituting human action with automated technological means.
2Reliability
If automated tool recognition is implemented, then errors are eliminated, but device complexity increases
Solution Approach 1:
The control device's communication interface serves multiple functions: it communicates with external data sources, detects tool codes, retrieves process data, and controls the drive device. This multi-functionality reduces the need for separate dedicated components, thereby limiting the increase in device complexity.
Solution Approach 2:
Tool-specific process data are stored externally or in a separate memory area, acting as an intermediary between the tool and the control logic. The control device simply retrieves and applies this data rather than containing all control knowledge internally, reducing system complexity.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system enables machine tools to independently recognize tools and materials, automatically retrieving and adapting process data for efficient machining, reducing errors and processing times while ensuring tool longevity.
Implementation Method 1
The detection means of the control device according to the invention essentially consist of at least one sensor for detecting the code. This code can be a number, a barcode, a matrix code, an RFID chip, and the like.
Data Source
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Figure 2(a)~2(g)
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AI summary
The invention relates to a machine tool, in particular a sawing machine, comprising a tool for machining metal, in particular a saw band or saw blade, a drive device for driving and/or moving the tool, a control device for the drive device to control and/or regulate the drive device with a process data set, and a communication device for data exchange between the control device and an external data storage device and/or an external computer, wherein the control device includes recognition means for identifying the tool. The invention further relates to a system for optimized operation of such a machine tool, which also includes an external data storage device and/or an external computer.