Innovative technologies are needed to make the life easy. The innovations are best used using renewable source of energy. Greenhouse solar dryer is a device used for drying purpose. Computational fluid dynamics analysis simulation is performed on greenhouse solar dryer when exposed to an ambient temperature on a hot sunny day for free convection and forced convection processes. The mass flow rate and the thickness of polycarbonate roof sheet material vary. The average temperature of the dryer is analysed using simulation. The maximum temperature obtained by forced convection is 71°C for 0.025 kg/s mass flow rate, which is 41% more than that obtained by natural convection.

The aim of this project is to design and optimize the existing automobile radiator. The entire analysis is carried out using CFD (Computational Fluid Dynamics) with FLUENT (6.0.) as software. The main objective is to design the automobile radiator with surface area density (SAD) greater than 1000 m^2//m³ with increased heat transfer coefficient, rate of Heat transfer, reduced cost and reduced weight using CFD. Suitable modifications are to be incorporated depending on the requirements.

In present world, every customer needs their products to get on time with good quality. Presently every industry is striving to satisfy their customer requirements. An aviation concern trying to accomplish continuous improvement in all its projects. In this project the maintenance service for the customer is analyzed. The maintenance part service is split up into four levels. Out of it, three levels are done in service shops and the fourth level falls under customer's privilege to change the parts in their aircraft engines at their location. An enhancement for electronics initial provisioning (eIP) is done for fourth level. Customers request service shops to get their requirements through Recommended Spare Parts List (RSPL) by eIP. To complete this RSPL for one customer, it takes 61.5 hours as a cycle time which is very high. By mapping current state VSM and takt time, future state improvement can be done in order to reduce cycle time using Lean tools such as Poke-Yoke, Jidoka, 5S, Muda etc.,