Surface Machining Parameter Measurement Using Acoustic Feedback
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Solution Overview
Problem
Current methods for measuring operating parameters of surface machining, such as deburring, are subjective and influenced by environmental conditions, lacking standardization and objective assessment, leading to suboptimal process optimization and safety concerns due to rough surfaces.
Innovation Solution
A method and device that integrate a data acquisition and processing unit with temperature and movement sensors, allowing precise measurement of operating parameters directly on the semi-finished component, using adjustable brushes and a conveyor system to optimize machining settings, and providing feedback through acoustic or visual signals for adjustment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sensors are mounted close to the brushes to measure wear and machining efficiency, then measurement capability is improved, but the large size of plants and presence of dust greatly deteriorate the effectiveness of these solutions
Solution Approach 1:
The patent uses acoustic waves as an intermediary to transmit machining information from the brush-workpiece interface to the sensor. Instead of placing sensors directly in the harsh environment near the brushes, the system captures acoustic emissions generated during machining, which can be detected remotely. This mediator approach allows measurement of machining quality without direct exposure to dust and environmental interference.
Solution Approach 2:
The patent replaces direct mechanical contact sensing with acoustic field-based measurement. Rather than using physical sensors that must be mounted close to the brushes and are affected by dust, the system uses acoustic emission technology to detect machining characteristics through sound waves, substituting a mechanical sensing approach with a field-based detection method that is less susceptible to environmental contamination.
2Reliability
If visual inspection and noise analysis are used by expert operators, then subjective assessment capability is improved, but the process lacks standardization and objective assessment
Solution Approach 1:
The patent implements an automated feedback system that objectively measures acoustic emissions during machining and provides real-time information about machining quality. This feedback mechanism replaces subjective operator assessment with standardized, repeatable measurements that can be automatically recorded and analyzed, enabling consistent evaluation criteria across different operators and shifts while maintaining high reliability through precise acoustic measurement.
Solution Approach 2:
The system enables the machining process to self-assess its own quality through acoustic emission monitoring. Instead of relying on external operator inspection, the machining system itself generates measurable acoustic signals that automatically indicate machining quality, allowing the process to monitor and evaluate its own performance without human intervention, thereby achieving both standardization and objective assessment.
3Productivity
If brush penetration and friction are adjusted empirically by experienced operators, then machining effectiveness is improved, but the adjustment process lacks standardization and optimization
Solution Approach 1:
The patent uses acoustic emission feedback to objectively monitor brush penetration depth and friction conditions during machining. By measuring acoustic characteristics that correlate with brush-workpiece interaction, the system provides real-time information about machining parameters, enabling precise control and optimization of brush penetration and friction without relying on empirical adjustments by operators.
Solution Approach 2:
The patent replaces empirical mechanical adjustment methods with acoustic-based measurement and control. Instead of operators manually adjusting brush penetration based on experience, the system uses acoustic emission technology to objectively measure and monitor machining parameters, substituting subjective mechanical adjustment with precise, standardized measurement that enables better process optimization and repeatability.
Data Source
AI summary
Described is a method for measuring operating parameters of a machining of at least one surface of a semi-finished component including the step of preparing a group of brushes; the step of preparing a line for the passage of the semi-finished components; the step of preparing a data acquisition and processing unit; the step of associating at least one measuring device in an integral fashion with the semi-finished component; the step of positioning on the line the semi-finished component; the step of machining the semi-finished component; the step of measuring a plurality of operating parameters of the machining performed during the machining step; the step of sending at least one signal representing said operating parameters to the data acquisition and processing unit.