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Bhaskar, K.
- Reduction of Nitrous Oxide in Diesel Engine using Metal Salt Macro-Emulsion
Abstract Views :240 |
PDF Views:3
Authors
S. Sendilvelan
1,
K. Bhaskar
2
Affiliations
1 Department of Mechanical Engineering, Dr. M.G.R. Educational and Research Institute, University of Chennai – 600 095, IN
2 Department of Automobile Engineering, Rajalakshmi Engineering College, Thandalam, Chennai- 602 105, IN
1 Department of Mechanical Engineering, Dr. M.G.R. Educational and Research Institute, University of Chennai – 600 095, IN
2 Department of Automobile Engineering, Rajalakshmi Engineering College, Thandalam, Chennai- 602 105, IN
Source
Journal of Surface Science and Technology, Vol 32, No 3-4 (2016), Pagination: 69–72Abstract
In this paper four new emulsions were prepared by mixing 0.5% tween 85 and 0.5% span 80 with diesel fuel using 10% aqueous metal salt solution with concentration of 0.4 mol/dm3. The performance and emission tests were carried out by using these fuels in single cylinder water cooled diesel engine. The results were compared with that of diesel and comparison graphs were plotted to analyze the advantages and disadvantages of using the new emulsions over diesel. This report analyze on the effect of new emulsion fuels combustion on brake thermal efficiency, brake specific fuel consumption, oxides of nitrogen and hydrocarbon emissions. The emulsions used for analysis achieved reasonable reductions in the NOx emission from diesel engines without requiring any retrofitting of the engines and also there was no notable increase in emission of other pollutants.Keywords
Aqueous Metal Salts, Engine Emission Control, Macro-Emulsions, Span 80, Tween 85.
References
- A. Lif, K. Holmberg, Adv. Colloid Interface Sci., 123, 231 (2006).
- D. Scarpete, Machines, Technologies, Materials, 13 (2013).
- H. Sane, N. Purandare, O. Barve, A. Todakar, Intl. J. Res. Eng. Technol., 3, Issue, 378 (2014).
- Z. Fu , M. Liu, J. Xu, Z. Fan, Fuel, 89, 2838 (2010).
- Z. Fu, M. Liu, J. Xu, Z. Fan, Fuel, 89, 3860 (2010).
- M. Prabhahar, M. Manohar, S. Sendilvelan, Indian J. Sci. Technol., 5, 2880 (2002).
- M. Prabhahar, M. Manohar, S. Sendilvelan., Eur. J. Sci. Res., 73, 504 (2012).
- P. A. Strandell, H. W. Schab, Naval Eng. J., 3, 529049 (2015).
- Z. A. M. Y. Khan, A. Karim, A. F.Y. Hagos, A. Rashid Aziz, I. M. Tan, The Scientific World Journal, Article ID 527472 (2014).
- G. M. Madhu, S. M. Kumar, M. A. L. Raj. J. Disper. Sci. Technol., 28, 1123 (2007).
- S. Myung-Geun, C. Sung-Ho, K. Jong-Yun K. Jong-Duk, Korean Chem. Eng., 19, 425 (2002).
- G. Urbina-Villalba, Garcia-Sucre, M. Brownian, Langmuir, 16, 7975 (2000).
- M. A Hossain, M. R Islam, M. H Ali, M. Mashud, Intl. J. Res. Eng. Technol., 4, 3009 (2013).
- Efficient Aerial Image Matching Algorithm for Autonomous Navigation of Aerial Vehicle
Abstract Views :111 |
PDF Views:0
Authors
Affiliations
1 School of Electrical Engineering, Vel Tech Dr. RR & Dr.SR Technical University, Avadi, Chennai, Tamil Nadu-62, IN
1 School of Electrical Engineering, Vel Tech Dr. RR & Dr.SR Technical University, Avadi, Chennai, Tamil Nadu-62, IN
Source
International Journal of Scientific Engineering and Technology, Vol 2, No 12 (2013), Pagination: 1204-1207Abstract
Guidance of aerial systems is generally based upon inertial navigation sensors and Global Positioning System. Inertial navigation sensors are assumed accurate and reliable for short duration of flights. Error of inertial navigation sensors accumulates and ultimately drifts from actual position increases with flight duration. On the other hand, Global Positioning System (GPS) is independent of flight durations. So errors of inertial sensors are corrected by information of GPS. There is another way to correct errors of inertial navigation sensors. This is based upon image matching techniques. Waypoints are defined along flight path of aerial vehicle. These way points are stored in aerial system as satellite images. When aerial vehicle reaches pre-stored area, it captures image of small geographic area (aerial image). Now image matching algorithm locates aerial image in pre-stored satellite image. Design of these algorithms is a challenging task. Image matching algorithms are computationally very expansive. A number of matching algorithms are evaluated and finally a computationally efficient algorithm is proposed.Keywords
Image Matching, Aerial Vehicle, Efficient, Hashing, Chamfer Matching, Realtime.Full Text