{"title":"Transparent Touch Sensors on Wood: Sustainable Development With Aesthetic Integrity","authors":"Lukas Rauter;Manoj Jose;Stephanie Weiss;Olivia Moser;Stefan Pandur;Jürgen Kosel","doi":"10.1109/JSEN.2024.3391828","DOIUrl":null,"url":null,"abstract":"Sustainability is becoming an increasingly crucial focus across various industries, reigniting interest in wood as a material. To enable its broader utility and smart applications, the integration of electronics and sensors into wooden surfaces is essential. Yet, preserving the optical integrity of elegant wood finishes is of paramount importance. This article presents the realization of a transparent touch sensor on recon veneers. The touch sensor relies on an interdigital capacitor (IDC), screen-printed using silver nanowire ink. Applying a protective coating onto the sensor prevents responses to ambient humidity. The temperature dependence of the sensor signal exhibits a contrasting trend compared to the touch response. The sensor demonstrates the highest touch sensitivity at a frequency of 2.57 MHz. A standard deviation of 0.7% was found, highlighting the sensor’s precision. This research paves the way for seamlessly incorporating advanced electronics into wooden surfaces while maintaining their aesthetic appeal and functionality.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":null,"pages":null},"PeriodicalIF":4.3000,"publicationDate":"2024-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10509635","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Sensors Journal","FirstCategoryId":"103","ListUrlMain":"https://ieeexplore.ieee.org/document/10509635/","RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
Sustainability is becoming an increasingly crucial focus across various industries, reigniting interest in wood as a material. To enable its broader utility and smart applications, the integration of electronics and sensors into wooden surfaces is essential. Yet, preserving the optical integrity of elegant wood finishes is of paramount importance. This article presents the realization of a transparent touch sensor on recon veneers. The touch sensor relies on an interdigital capacitor (IDC), screen-printed using silver nanowire ink. Applying a protective coating onto the sensor prevents responses to ambient humidity. The temperature dependence of the sensor signal exhibits a contrasting trend compared to the touch response. The sensor demonstrates the highest touch sensitivity at a frequency of 2.57 MHz. A standard deviation of 0.7% was found, highlighting the sensor’s precision. This research paves the way for seamlessly incorporating advanced electronics into wooden surfaces while maintaining their aesthetic appeal and functionality.
期刊介绍:
The fields of interest of the IEEE Sensors Journal are the theory, design , fabrication, manufacturing and applications of devices for sensing and transducing physical, chemical and biological phenomena, with emphasis on the electronics and physics aspect of sensors and integrated sensors-actuators. IEEE Sensors Journal deals with the following:
-Sensor Phenomenology, Modelling, and Evaluation
-Sensor Materials, Processing, and Fabrication
-Chemical and Gas Sensors
-Microfluidics and Biosensors
-Optical Sensors
-Physical Sensors: Temperature, Mechanical, Magnetic, and others
-Acoustic and Ultrasonic Sensors
-Sensor Packaging
-Sensor Networks
-Sensor Applications
-Sensor Systems: Signals, Processing, and Interfaces
-Actuators and Sensor Power Systems
-Sensor Signal Processing for high precision and stability (amplification, filtering, linearization, modulation/demodulation) and under harsh conditions (EMC, radiation, humidity, temperature); energy consumption/harvesting
-Sensor Data Processing (soft computing with sensor data, e.g., pattern recognition, machine learning, evolutionary computation; sensor data fusion, processing of wave e.g., electromagnetic and acoustic; and non-wave, e.g., chemical, gravity, particle, thermal, radiative and non-radiative sensor data, detection, estimation and classification based on sensor data)
-Sensors in Industrial Practice