TPI, also known as artificial eucommia rubber, is a thermo-responsive SMP created by molecular recombination and modification with contemporary polymer synthesis and modification techniques. In this paper, TPI shape memory polymer is reinforced with different weight proportions (0, 0.2 %, 0.4 %, 0.6 %, 0.8 % and 1 %) of Silicon carbide nano particles (SiC) and specimens were fabricated with the aim of enhancing the properties of neat TPI polymer composites. Some thermo-mechanical characteristics were investigated and interpreted, including the differential scanning calorimeter (DSC) test, dynamic mechanical analysis (DMA) test, thermal conductivity test, compression test, and a few shape memory properties such as shape recovery ratio and shape recovery rate. TPI shape memory polymers exhibit strong shape memory capabilities and the best mechanical properties based on the testing results for the specimen TPI with 0.8 % SiC weight fraction.
With advancement of technology at present health monitoring is one of the most emerging fields. Recently Internet of things is used in various applications like remote monitoring of parameters; control the process far away from the plant etc. In our work we used internet of things to design a health monitoring system using Arduino and several sensor network. This system will monitor the body temperature, environmental temperature, humidity, heart rate and fall detection of the patients. The measured value will be communicated to the thingspeak cloud platform. The thingspeak will read the values and send an alert message to the responsible person in the family and also to the respective doctors to do the immediate aid for the patients under abnormal conditions.
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