Abstract-Minimal quantity lubrication (MQL) is a recenttechnique introduced in machining (in particular, in drilling) to obtain safe, environmental and economic benefits, reducing the use of coolant lubricant fluids in metal cutting. In MQL a very small lubricant flow (ml/h instead of l/min) is used. In this case, the lubricant is directly sprayed on the cutting area. It guarantees a good level of lubrication. The cost of coolant is approximately from 7 to 17% of the total machining cost. This cost continues to rise. So coolant in wet machining operations is a crucial economic issue. An alternative, machining with "minimum quantity lubricant," or MQL, is gaining acceptance as a cost-saving and environmentally friendly option in place of some wet machining processes. In the present work a specially formulated cutting fluid was applied as a high velocity, thin pulsed jet at the immediate cutting zones at an extremely low rate of 2 ml/min using a fluid application system developed for this purpose during turning of hardened steel. The performance of HTMF (Hard Turning -Minimum Fluid) is studied in comparison with that of conventional hard turning in wet and dry form in terms of cutting force, cutting temperature, surface roughness, average flank wear, etc.

In this paper we focused on to reduce the latency time for 5G applications using hardware accelerator. In current 4G systems the roundtrip latency period is about 15mS, The 5G applications will need a roundtrip latency period less than about 1 ms, faster than 4G.The latency constraints may have major role in the design of a 5G communication system. 5G networks will require tight inter-coordination between multiple network elements and tight sharing of spectrum.OFDMA can only operate if strict time and frequency synchronization between users and a base station is achieved. There is a need for a filtered, multicarrier approach with reduced side-lobe levels of the waveform which could minimize inter-carrier interference (ICI) in 5G, FBMC (filter bank multi-carrier) generalizes traditional orthogonal frequency-division multiplexing (OFDM) schemes. The proposed work consists of latency analysis of filter bank based multicarrier (FBMC) transmitter and receiver with and without a hardware accelerator. This waveform is a possible candidate for 5G. The result of this experiment will be one of the references to finalize engineering requirements of 5G wireless communication system in terms of latency.

Knowledge of seabed/riverbed properties is required to predict mine burial, to study the effect of habitat on fisheries etc. Collection of samples of seabed/riverbed sediment and their characterizations are tedious and time consuming tasks even for a small area. The nature of seabed/riverbed will be affects on the characteristics of reflected echo. Mathematical modeling of the river bed system is designed. The modeling of the system is based on the acoustic behavior of river (water) and river bed (river bottom layer). Various types of losses in the acoustic signal at water layers are calculated using standard acoustic wave propagation equation. Using these loss parameters and other channel introduced noises, the system is mathematically modeled. Using the mathematical model, it is possible to predict the behavior of the system and reflected echoes. With the known transmitted signal parameters and created reflected echoes an algorithm is developed for extracting the required parameters like water depth and layer types. The algorithm includes acquisition of reflected echoes, removal of noise, envelope detection, and computation of echo amplitude and classification of layer type.