Acoustic Process Control for Generative Manufacturing Deviation Detection
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Solution Overview
Problem
Existing process control systems face challenges in monitoring and controlling individually configured manufacturing processes, particularly in generative manufacturing, where deviations can lead to costly defects, and require a cost-effective solution for real-time monitoring and alarm issuance.
Innovation Solution
A process control device equipped with an acoustic output device, such as a synthesizer, generates sound sequences based on robot arm movements and control signals, allowing for comparison with target melodies or rhythms to detect deviations, and includes acoustic sensors and a processor for real-time monitoring and alarm generation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If acoustic sensors and reference pattern comparison are used for process monitoring, then manufacturing precision and defect detection are improved, but device complexity and implementation costs increase
Solution Approach 1:
The machine tool itself generates the reference acoustic pattern during normal operation, eliminating the need for separate calibration equipment or external reference systems. The system uses its own operational data to establish baseline patterns for comparison
Solution Approach 2:
Instead of using complex physical reference standards, the system creates acoustic signal copies (reference patterns) from actual machine operation that can be stored and compared against future operations, simplifying the monitoring apparatus
2Manufacturing precision
If individual component manufacturing processes are monitored, then manufacturing precision is improved, but implementation costs and device complexity increase
Solution Approach 1:
A single acoustic monitoring system is designed to handle multiple different machining operations (milling, turning, drilling, etc.) and various components using the same basic apparatus, eliminating the need for separate monitoring systems for each process type
Solution Approach 2:
The system adapts to different manufacturing processes by changing acoustic parameter thresholds and reference patterns rather than requiring hardware modifications, allowing individual component monitoring across diverse operations
3Productivity
If acoustic monitoring systems are implemented for real-time process control, then productivity through early defect detection is improved, but device complexity and initial costs increase
Solution Approach 1:
The system continuously compares acoustic signals from ongoing operations against stored reference patterns and provides immediate feedback when deviations are detected, enabling real-time corrective action without requiring complex predictive modeling
Solution Approach 2:
Reference acoustic patterns are established and stored before actual manufacturing begins, allowing the system to immediately detect deviations during production without requiring complex real-time analysis algorithms
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
Enables effective monitoring and control of generative manufacturing processes, allowing for early detection of deviations and prevention of defects, thereby reducing waste and maintaining production quality.
Implementation Method 1
acoustic sensor (3) arranged to detect the sound waves
Implementation Method 2
an acoustic output device (13) used to generate sound, tone, and/or noise. This is a process by which sound waves are actively generated in the air or another medium
Data Source
Figure 1
AI summary
The invention relates to a device for process control. The device comprises at least one acoustic sensor and an optical and/or acoustic warning device. The device includes an acoustic output element.