Applied Engineering Letters

11-20

Authors: D. – P. A. Giannoulis, N. A. Avgerinos, D. P. Margaris

In recent years, there has been a growing interest in the exploitation of hydrocarbon deposits within the Greek territory, in the Aegean and the Ionian Sea. This increasing interest comes along with the possibility of an oil spill event of devastating impact on the environment, the marine life and the economic activity of the nearby coastal areas. In this context, the present work simulates the trajectory of leaking oil in the event of an accidental subsea blowout in the Gulf of Patras, in order to predict the underwater dispersion, to estimate the rise time needed for the underwater oil spill to reach the sea surface as well as the distance of this position from the accident location. Numerical simulations were performed using ANSYS Fluent software and the proposed numerical methods were validated against small-scale experimental results. Two cases involving oil leakage in the presence of transverse sea currents are examined, one for crude oil and one for chemically dispersed oil. Results for the rise times, the rise and horizontal migration velocities of the oil plume, as well as the distances traveled horizontally and vertically are presented.

29-38

Authors: L. N. Patil, H. P. Khairnar

Not just emissions issues, but also rising fuel costs for traditional cars is attracting individuals to make use of electric vehicles. Despite various benefits, such as pollution-free, noise-free, smooth driving, there may be a new likelihood of problems resulting from the quiet service of electric cars (EVs) which difficult to hear for pedestrians as well as wear particles coming out from disc brake are still unresolved issue from atmospheric state. In view of this, Authors have designed an intelligent braking system to address such issues. The aim of the proposed work is to construct an intelligent model of braking system that can incorporate contactless blending braking along with safety controls to prevent any collision. A state flow algorithm along with obstacle detection has been introduced to achieve desired braking action from proposed model. The results obtained from simulation study are consistent relative to previous researchers' findings. The new scheme has to be aiming to mitigate concerns over injuries and enhancing environmental conditions. The main contribution of the present study is the novel design of braking system test rig with the application of artificial intelligence to improve active safety control of vehicles.