At present, ethanol is used as an alternative to fossil fuels globally. Bamboo is an important source of producing ethanol. The moisture present in the bamboo determines the efficiency of ethanol production. Hence, accurate moisture measurement in bamboo is important. Gravimetric measurement is the gold standard for the determination of moisture content in any solid fuel (i.e. coal, biomass, etc.). However, this method is time-consuming and not suitable for onsite or field testing. On the other hand, other available methods for onsite moisture measurement are primarily applied to woods. Bamboo being one of the tallest grass shows significantly different characteristics than wood. Here, as an initial exploration, we attempt to measure moisture content in Bamboo through capacitance sensing, which is simple, compact, and thus field deployable. This work is a part of project work under Govt of India (GOI). Our work shows promising results where the relative permittivity of the Bamboo sample, when measured through a capacitance sensor, well correlates with its moisture content.
Worked on damage detection and localization in metal as well as composite sheets. Ultrasound-based approaches have been used for damage detection and localization of damage. Different statistical features have been extracted and studied to classify various types of damage. This technique is also being used to the localization of damage in a composite sheet. Glass fiber epoxy-based composite sheets are used primarily as sample composite materials. Here, we worked on identifying different types of damage (hole, scratch etc.) and localization of damage through ultrasonic guided wave technique.
Prepared different tissues (skin, muscle, human body equivalent) mimicking phantoms using different chemicals (Agar Powder, Polyethylene powder, Triton powder etc.). These are semi-solid phantoms which can mimic different parts of the human body. These were used to check the effect of microwave radiation in the human body. Additionally, I have also prepared some Agar-based liquid phantoms
Developed a simulation-based model for Ear-EEG electrode for real time and wearable applications. Simulation was carried out using COMSOL Multiphysics. A comparative analysis of different types of electrode materials have been carried out. A simulation-based model for the surface electrode potential for different microelectrodes have been prepared.