Punching Machine Audio Analysis for Material and Thickness Detection
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Solution Overview
Problem
The manual selection of technology tables for laser processing in punching/laser combination machines is labor-intensive and error-prone, limiting automation and flexibility, as it relies on operator-dependent material identification.
Innovation Solution
A method utilizing audio analysis of processing noises and workpiece vibrations to automatically determine material properties, such as material type and thickness, allowing for the selection of appropriate technology tables and improving subsequent processing parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If manual selection of technology tables is performed by operator, then flexibility for automating laser processing is limited, but operator can select appropriate technology table based on material knowledge
Solution Approach 1:
The system performs self-identification of workpiece material properties through audio analysis during punching operations. The evaluation unit automatically determines material type and thickness without operator intervention, enabling the laser processing parameters to be automatically selected based on the detected properties, thus achieving both automation and reliability
Solution Approach 2:
The manual mechanical selection process by operator is replaced with an automated acoustic detection and evaluation system. Microphones capture processing noises during punching, and the evaluation unit processes these signals to automatically identify material properties, substituting human judgment with automated acoustic analysis
2Productivity
If manual selection of technology tables is performed, then additional effort is required, but operator can ensure correct material identification
Solution Approach 1:
The system automatically performs material identification and technology table selection through audio analysis of punching operations. The evaluation unit determines material properties and selects appropriate laser processing parameters without requiring operator effort, thereby increasing productivity while maintaining ease of operation
Solution Approach 2:
The material identification is performed preliminarily during the punching operation itself, before laser processing begins. The system captures audio signals during punching, analyzes them to determine material properties, and pre-selects the appropriate technology table, eliminating the need for separate manual material identification steps
3Extent of automation
If audio analysis is used to determine material properties, then automation is enhanced, but additional measurement and analysis systems are required
Solution Approach 1:
The microphone and evaluation unit serve multiple functions: they monitor punching process quality, detect material properties, and identify workpiece thickness. By making this measurement system multi-functional, the patent avoids adding separate dedicated sensors for each function, thereby enhancing automation while limiting the increase in device complexity
Solution Approach 2:
The audio signals generated during punching serve as an intermediary that carries information about material properties. Instead of directly measuring material characteristics, the system uses the acoustic mediator produced during normal punching to indirectly determine material type and thickness, simplifying the measurement approach
4Manufacturing precision
If material properties are determined during first machining operation, then subsequent processing operations can use improved parameters, but additional analysis time is required
Solution Approach 1:
The material property determination is performed preliminarily during the first machining operation itself. The audio analysis occurs concurrently with the punching process, so that material identification is completed before subsequent laser processing begins, enabling improved precision without adding separate analysis time
Solution Approach 2:
The audio recording and analysis process continues throughout the punching operation without interrupting the machining process. The evaluation unit continuously processes audio signals during the entire first machining operation, ensuring that material properties are determined without pausing production, thus maintaining continuous useful action
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
This approach reduces operator errors, enhances automation, and ensures accurate material identification, enabling improved cutting performance and flexibility in laser processing by automatically selecting the correct technology tables based on determined workpiece properties.
Implementation Method 1
by means of audio analysis of machining noises (sound) or workpiece vibrations
Implementation Method 2
by means of audio analysis of machining noises (sound) or workpiece vibrations
Data Source
Figure 1
AI summary
The method according to the invention for determining at least one material property of a workpiece (2) arranged in a punching machine (1), in particular for determining workpiece material and/or workpiece thickness, comprises the following method steps: - machining the workpiece (2) by executing at least one stroke movement of a tool (3) of the punching machine (1), - recording the machining noises and/or workpiece vibrations generated during the machining of the workpiece (2), and determining the at least one material property of the workpiece (2) by comparing the recorded machining noises and/or workpiece vibrations with reference machining noises and/or reference workpiece vibrations that have been recorded when machining reference workpieces having known material properties.