Directly Printed Low-Cost Nanoparticle Sensor for Vibration Measurement during Milling Process

Area of Science:

• Materials Science
• Manufacturing Engineering
• Sensor Technology

Background:

• Real-time process monitoring is essential for intelligent manufacturing and digital twin applications.
• Existing vibration measurement methods can be costly and complex.

Purpose of the Study:

• To develop a novel, low-cost nanoparticle vibration sensor for workpiece monitoring during milling.
• To demonstrate the sensor's capability for accurate and reliable vibration data acquisition.

Main Methods:

• Direct printing of silver nanoparticle-based sensors onto a polyimide substrate using an aerodynamically-focused nanomaterials printing system.
• Fabrication without post-processing steps like etching or heat treatment.
• Performance comparison with commercial vibration sensors using frequency and power spectrum analysis.

Main Results:

• A highly sensitive, microscale porous vibration sensor was fabricated at a low cost (cents each).
• Accurate and reliable vibration data was obtained through simple workpiece attachment.
• The sensor successfully measured workpiece vibration during milling, correlating with process parameters.

Conclusions:

• The developed nanoparticle vibration sensor offers a cost-effective solution for real-time process monitoring in intelligent manufacturing.
• The sensor is applicable to digital twins, particularly in high-precision manufacturing like turbine blade production, for real-time defect prediction.