Session: 10-01 Interactive Presentations
Paper Number: 99327
99327 - Characterization of Additively Printed Humidity Sensor With Super Capacitive Material Using Real-Time Artificial Neural Network Calibration and Multi-Physics Simulation for Wearable Astro-Sensor Device
Using additive technologies for the fabrication of printed circuit boards eliminates the need for expensive manufacturing. Software-based design and production permits production flexibility, as well as quicker tool modifications and design evolution. In addition, additive printing techniques can be applied to a variety of surfaces and shapes. This adaptability to a wide range of applications enables in the construction of novel applications, such as biosensors, by designers. Several previous studies have focused on the development of additively printed humidity sensors because of their potential for flexibility and integration. Current temperature and humidity sensor technologies have reliability concerns when subjected to flexing force in conjunction with humidity. For the prevention of reliability problems, it is necessary to establish a superior printing technology, process recipe, and encapsulation of sensing material. In this study, direct write printing method with nScrypt printer is used to print the humidity sensor as test vehicle in lab-environment. Characterization of the sensor has been done by studying the process-performance interactions of temperature coefficient to resistance and sensitivity to humidity. Additionally, characterization of sensor accuracy, hysteresis, repeatability, linearity, and stability has been quantified with respect to printing recipe and encapsulation. Moreover, folding reliability test has been conducted for the assessment of viability of sensor in operation to mimic real life use conditions. The cyclic folding motions are administered every 13 seconds with same folding diameter and travel distance on each three samples which have respectively, single trace and multi-trace of sensing materials and trace with polyimide encapsulation. Furthermore, chemo-electrical measurement with cyclic voltammetry method for assessment of water possession on high humidity conditions with the different samples. It is found that the encapsulation might be helpful to improve the humid and mechanical reliability of the additively printed humidity sensor.
Presenting Author: Hyesoo Jang Auburn University
Characterization of Additively Printed Humidity Sensor With Super Capacitive Material Using Real-Time Artificial Neural Network Calibration and Multi-Physics Simulation for Wearable Astro-Sensor Device
Paper Type
Student Poster Presentation