Research On Temperature Sensor Array Based On Carbon Nanotube/epoxy Composite Material

The health of a person is closely related to the temperature of his body.Health problems are often accompanied by abnormal fever in corresponding parts of the body.Through the detection of the local temperature distribution of the human body,and through the analysis of abnormal heat source information,we can achieve the purpose of diagnosis and rehabilitation monitoring of some diseases.At present,the main method of human thermal image detection is infrared imaging technology,but the technology is expensive,vulnerable to environmental impact,and can not achieve real-time and other shortcomings.Polymer composites have become the focus of researchers because of their high sensitivity and easy processing.It has the potential to solve the limitation of infrared imaging technology by using the temperature sensor array made of polymer thermosensitive composite to detect human body.It has the potential to solve the limitations of infrared imaging technology to detect the temperature of human body through the temperature sensor array made of polymer thermosensitive composite materials.In this paper,the flexible sensor array based on MWCNT/ Epoxy CNC is studied.In order to develop a kind of temperature sensor array which is easy to operate and can realize real-time auxiliary diagnosis and curative effect tracking monitoring without disturbing people's daily activities.Firstly,a flexible temperature sensor based on MWCNT/ Epoxy CNC was prepared.The temperature characteristics of resistance,sensitivity,stability and response time of the sensor were analyzed.Secondly,the mechanism of the thermal effect of MWCNT/ Epoxy CNC is studied in this paper from the two aspects of the influence of temperature on the bonding property of CNT / epoxy matrix and the influence of temperature on the structural state of the composites.By using Kohler model and tunnel effect model for reference,a three-stage mathematical model is finally established,which has certain innovation.At the same time,the flexible temperature sensor array and the array signal acquisition system are designed.The 8x8 flexible temperature sensor array is designed by using thecommon row line(column line)method.The circuit design of array signal acquisition system is completed.The program design of the lower computer and the upper computer of the train signal acquisition system is completed.Finally,based on the Pennes model,this paper analyzes the heat transfer process of biological tissue,and studies the influence of the temperature and depth of point heat source in biological tissue on the surface temperature distribution.The heat source information acquisition model in vitro was established.Through the COMSOL software,the back tissue and arm tissue with point heat source were simulated and analyzed respectively,and the temperature array data of tissue surface was obtained.The error of resistance fluctuation caused by sensor instability and the error of model calculation caused by fitting model formula are analyzed in detail,and finally the temperature measurement error of sensor is determined.The measurement error is introduced into the simulation array data,the temperature image is made by MATLAB,and the temperature and depth information of the heat source is obtained by the heat source information to obtain the model solution.The results show that,the flexible temperature sensor array based on MWCNT/ Epoxy CNC can obtain the internal heat source information accurately.It can be used to detect the local temperature distribution of human body,and also lays a foundation for further optimization analysis of sensor array.