A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Ramabalan, S.
- Experimental Investigations on the Effects of Nano-Additive Blended Diesel Fuel on CI Engine
Authors
1 Department of Mechanical Engineering, Kings College of Engineering, Thanjavur, Tamil Nadu, IN
2 Department of Mechanical Engineering, EGS Pillai Engineering College, Nagapattinam, Tamil Nadu, IN
Source
Automation and Autonomous Systems, Vol 4, No 7 (2012), Pagination: 328-332Abstract
Diesel engines are widely used for their low fuel consumption and better efficiency. Ever increasing diesel consumption, large outflow of foreign exchange and concern for environment have prompted developing countries like India. Recently, because of increases in crude oil prices, limited resources of fossil oil focus on nano additives in diesel engines. In this study, performance tests were carried out on diesel engine with neat diesel fuel; diesel with 10ppm cerium oxide nanoparticle blend and 30ppm and 50ppm blend with as additive.
The effects of the additive cerium oxide nanoparticles on the engine performance and emissions are studied, and comparisons of the performance of the fuel with and without the additive are also presented. The experimental results revealed a substantial enhancement in the performance and a reduction in harmful emissions.
Keywords
Cerium Oxide Nano Additive, Ci Engine, Emissions Performance.- Optimal Trajectory and Path Planning of Autonomous Mobile Robot
Authors
1 J.J. College of Engineering & Technology, Tiruchirapalli, IN
2 Alagappa Chettiyar College of Engineering & Technology, Karaikudi, IN
3 E.G.S. Pillay Engineering College, Nagapattinam, IN
4 M.A.M College of Engineering, Tiruchirapalli
Source
Automation and Autonomous Systems, Vol 3, No 8 (2011), Pagination: 352-358Abstract
In this project optimal trajectory and path planning of mobile robot, which is working in a fixed & moving obstacles area was programmed. The problem has a multi-criterion character in which three objective functions were used. The objectives are optimal trajectory planning in a moving obstacles area, minimum mechanical energy of the actuators and optimal path planning in a fixed obstacle area. Existing algorithms are not able to perform efficiently in the moving obstacles area, it`s not able to select the optimum path, if it`s able to do that means it requires more memory storage and mechanical power. Then it has minimum capability of handling multi tasking problems which is required for practical application. In order to overcome the above drawbacks all the objectives want to be optimized, for that purpose non domination solution is required. So NSGA-2 (non-dominated sorting genetic algorithm-2) is used here to solve that domination problem by calculating the Pareto set values, best non dominated optimal solution is find out by applying it to the real problem best solution is obtained.Keywords
Non Domination Solution,a Multi-Criterion Character.- Performance and Emission Studies on an Agriculture Engine on Karanja Bio Diesel with Bio Fuel Enhancer Additive
Authors
1 Department of Mechanical Engineering. Kings College of Engineering, Thanjavur, Tamil Nadu, IN
2 Department of Mechanical Engineering. Kings College of Engineering, Thanjavur, Tamil Nadu, IN
3 Department of Mechanical Engineering, Kings College of Engineering, Thanjavur, Tamil Nadu, IN
4 E.G.S Pillay Engineering College, Nagapattinam, Tamil Nadu, IN