Research
Investigation of Thrust Performance for Different Drone Propeller Designs Using CFD, Co-author
In my research paper on Computational Fluid Dynamics (CFD), I analyzed and optimized drone propeller designs. This research was motivated by the logistical challenges faced in providing timely medical aid in regions with limited accessibility. By leveraging CFD simulations on Ansys Fluent, I aimed to create a more efficient propeller that maximizes thrust output and power efficiency while minimizing drag and turbulent flow, which are critical factors for drone stability and endurance in varying environmental conditions.
The study involved generating high-fidelity 3D models of multiple propeller configurations and performing CFD analysis. Each model tested was to simulate various airflow conditions, helping to evaluate lift-to-drag ratios and pressure distribution along the blade surfaces. Through mesh refinement techniques and turbulence modeling using the k-omega SST model, I was able to achieve precise flow visualization, which allowed for the identification of high-pressure zones that could compromise efficiency.
Under the guidance of my mentor, Mr. Vinay Vishwakarma, the research was presented at the International Conference of Business and Technology, 2024 & is also published by SpringerLink.
Click here to access the paper.
Evaluation of Newtonian Cooling, Independent Researcher
In my research paper, "Evaluation of Newtonian Cooling", I examined the accuracy of Newton’s Law of Cooling in modeling temperature changes for objects at various initial temperatures and under different thermal conditions. Newton's Law states that the rate of heat loss in a body is directly proportional to the difference in temperature between the body and its surroundings. To test this, I conducted experiments with distilled water in both closed and open conditions to evaluate heat transfer through radiation, conduction, and convection.
Data was collected using a Vernier Go Direct® Temperature Probe and analyzed through curve-fitting techniques in MATLAB. By comparing the theoretical cooling curve with experimental data across different initial temperatures (40°C, 60°C, 80°C, and 100°C), I measured the cooling constant (k) and quantified accuracy using the Coefficient of Determination (R²). The study confirmed that Newtonian cooling provides higher accuracy when temperature differences are small, but as the temperature increases, deviations grow due to the law's limitations in addressing dynamic conditions and multi-mode heat transfer.
Click here to access my research paper.