• Design & fabricate a rotary doser that can spread the powder equally on the surface which increases powder dosing by 30%.

• CAD modeling of doser is done using Creo Parametric

• Used Ultimaker Cura for 3d Printing of doser. Used testing setup like diverter, flanges and weighing machine for the experiment.

• Due to improvement in dosing we experienced decrease in the porosity of parts by 40%

• Addresses the impact of installation conditions on the accuracy of the flow meter in hydro turbines.

• Given the condition that straight lengths are limited, affecting the flow. 

• Designed the CAD model using Solidworks.

• Applied GD & T to all drawings

• Used Ansys CFD Fluent solver to mesh, model and analyze the velocity distortion caused by the butterfly valve.

The study focuses on creating and optimizing a Fogponic system, which uses a fog to provide nutrients to plants, potentially increasing the efficiency of resource use in agriculture. 

• Developed using software like Solidworks (CAD Modeling), Arduino (Microcontroller for electronics), and Ansys (Flow simulations).

• Includes the development of the necessary infrastructure, selection of suitable plant types, and experimentation with different nutrient solutions and environmental conditions. 

Effective system in growing plants with less water and space than conventional method

This project focuses on the development and optimization of the intake system for a high-performance vehicle. 

The above graph helped to select the plenum volume that we require at subsequent power and torque values.  

• The project involves designing an intake manifold that maximizes the engine's efficiency and power output. 

• The design of the intake manifold was created using SolidWorks, incorporating a surface features tool for precision.

• Different materials (Fiber Reinforced Plastic, 3D Printing, and Metal) were considered for the intake manifold, assessing their strengths, weaknesses, opportunities, and threats.

• Key features such as plenum volume, runner length, and runner area were analyzed. 

• The final intake design resulted in a plenum volume of 2.3 liters, determined to be the most effective after testing various volumes.

• Verifying the laminar air flow in the intake by using CFD fluent.

• The aim is to find the best combination of hyper parameters for a CNN model focusing on minimizing the error and training time

• The method involves using Central Composite Design (CCD) for the Design of Experiments (DOE) approach. 

• The CNN's performance is then evaluated based on accuracy and time, and the Response Surface Model is used to find the optimum point. 

• The project successfully fine-tunes a CNN's hyperparameters, achieving a balance between lower error rates and reduced training time.