Cold Spray Acoustic Diagnostics for Nozzle Wear Detection
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Solution Overview
Problem
Cold spray systems face challenges in maintaining process stability and detecting nozzle wear or blockage during extended operations, leading to deviations in deposit quality and potential system failures.
Innovation Solution
Implementing an acoustic sensor system that generates time-dependent acoustic data signals, processed by a computing device to analyze frequency-domain spectra, allowing for real-time monitoring and control of process attributes, including nozzle condition and other components, to maintain process stability and prevent failures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If acoustic sensor system and real-time monitoring are implemented, then process stability and reliability are improved, but device complexity increases
Solution Approach 1:
The patent implements a feedback mechanism where acoustic sensors continuously monitor the cold spray process and feed this information back to a control system. The system analyzes acoustic signatures in real-time and provides feedback to maintain process stability, adjusting parameters when deviations are detected. This closed-loop feedback system improves reliability by continuously monitoring and correcting process variations.
Solution Approach 2:
The patent replaces traditional mechanical monitoring methods with acoustic field-based monitoring. Instead of using physical sensors that contact the spray path or mechanical measurement devices, the system uses acoustic sensors to detect process conditions through sound wave analysis. This substitution reduces mechanical complexity while improving monitoring capability and process stability.
2Manufacturing precision
If acoustic monitoring is implemented to detect nozzle wear and blockage, then manufacturing precision is improved, but device complexity increases
Solution Approach 1:
The patent introduces acoustic sensors as an intermediary between the spray process and the monitoring system. These sensors act as mediators that convert physical process conditions (nozzle wear, blockage, spray characteristics) into acoustic signals that can be analyzed. This intermediary approach enables precise detection of process deviations without requiring direct contact or complex measurement equipment in the spray path.
Solution Approach 2:
The system monitors changes in acoustic parameters (frequency, amplitude, temporal patterns) to detect nozzle wear and blockage. By tracking variations in acoustic signatures over time, the system can identify when nozzle geometry changes or blockages occur, allowing for precise control of deposit quality through early detection and correction of process deviations.
3Productivity
If real-time acoustic analysis is performed to detect process deviations, then productivity is improved through prevention of failures, but use of energy increases
Solution Approach 1:
The patent implements preliminary detection of process deviations through continuous acoustic monitoring. By detecting early signs of nozzle wear, blockage, or process instability, the system can take preliminary actions to correct issues before they lead to failures or defective deposits. This preliminary detection and correction approach prevents downtime and rework, improving overall productivity.
Solution Approach 2:
The system enables self-service monitoring where the cold spray process monitors itself through acoustic emissions. The acoustic sensors detect process conditions and the analysis system automatically identifies deviations and triggers appropriate responses. This self-monitoring capability reduces the need for external inspection and manual intervention, improving productivity while keeping energy consumption manageable through automated operation.
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 real-time monitoring and control of cold spray processes, reducing defects and extending operational efficiency by detecting deviations and prompting maintenance before failures occur.
Implementation Method 1
at least one acoustic sensor configured to generate at least one time-dependent acoustic data signal indicative of an acoustic signal. The acoustic signal is generated by a cold spray system performing a process
Implementation Method 2
The acoustic data signal processing module may be configured to receive the at least one time-dependent acoustic data signal, and transform the at least one time-dependent acoustic data signal to a frequency-domain spectrum
Implementation Method 3
The computing device may additionally include a correlation module configured to determine a process attribute of the plurality of process attributes by identifying at least one characteristic of the frequency-domain spectrum
Data Source
AI summary
An example system includes at least one acoustic sensor configured to generate at least one time-dependent acoustic data signal indicative of an acoustic signal generated by a cold spray system performing a process possessing a plurality of process attributes, and a computing device including an acoustic data signal processing module configured to receive the at least one time-dependent acoustic data signal, and transform the at least one time-dependent acoustic data signal to a frequency-domain spectrum, wherein each process attribute of the plurality of process attributes is associated with at least one respective frequency band, and a correlation module configured to determine a process attribute of the plurality of process attributes by identifying at least one characteristic of the frequency-domain spectrum.