<p>This study presents the development and characterization of a multi-taxel (pressure sensitive region) sensor array for displacement measurement in pneumatic dampening systems. The sensor, integrated directly into the system, addresses challenges associated with traditional external sensors, such as misalignment, and response lag while providing measurements of displacement. By analyzing the contact and non-contact regions of sequentially arranged taxels, the sensor determines rolled rubber displacement and calculates pneumatic system displacement through a validated linear relationship. Experimental results demonstrate the sensor’s robustness under static and dynamic loading conditions, with its ability to monitor displacement, loading frequency, and air pressure, making it a versatile tool for predictive maintenance and system health assessment. The sensor’s impact lies in its ability to enhance system safety, reliability, and performance by offering monitoring and actionable insights into system behavior. Its integration into pneumatic systems has potential to enhance automotive prognosis and health management systems for waste reduction through preventive maintenance. Additionally, the multifunctionality of the sensor positions it as an innovative solution for industries such as automotive, robotics, and manufacturing, where real-time control and predictive analytics are critical. This work sets the stage for future innovations in sensing technology to further improve accuracy, resolution, and adaptability across dynamic systems.</p>

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Elastomeric Sensor Array for Displacement Measurement in Pneumatic Rolling Rubber for Automotive Dampening Applications

  • Md Jarir Hossain,
  • Shahba Tasmiya Mouna,
  • Sarath Suresh Kamath,
  • Jong Min Park,
  • Heung-Seok Oh,
  • Young-Seok Kim,
  • Jae-Won Choi

摘要

This study presents the development and characterization of a multi-taxel (pressure sensitive region) sensor array for displacement measurement in pneumatic dampening systems. The sensor, integrated directly into the system, addresses challenges associated with traditional external sensors, such as misalignment, and response lag while providing measurements of displacement. By analyzing the contact and non-contact regions of sequentially arranged taxels, the sensor determines rolled rubber displacement and calculates pneumatic system displacement through a validated linear relationship. Experimental results demonstrate the sensor’s robustness under static and dynamic loading conditions, with its ability to monitor displacement, loading frequency, and air pressure, making it a versatile tool for predictive maintenance and system health assessment. The sensor’s impact lies in its ability to enhance system safety, reliability, and performance by offering monitoring and actionable insights into system behavior. Its integration into pneumatic systems has potential to enhance automotive prognosis and health management systems for waste reduction through preventive maintenance. Additionally, the multifunctionality of the sensor positions it as an innovative solution for industries such as automotive, robotics, and manufacturing, where real-time control and predictive analytics are critical. This work sets the stage for future innovations in sensing technology to further improve accuracy, resolution, and adaptability across dynamic systems.