Yazar "Mujtaba, M. A." seçeneğine göre listele

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    Effect of injection timing and duration on the performance of diesel engine fueled with port injection of oxygenated fuels
    (Taylor & Francis Inc, 2023) Swamy, L. Ranganatha; Banapurmath, N. R.; Chandrashekar, T. K.; Soudagar, Manzoore Elahi M.; Gül, M.; Nik-Ghazali, Nik-Nazri; Mujtaba, M. A.
    An alarming adulteration of nature with automotive tail pipe emissions causing global warming demands suitable engine modification. Further use of alternative renewable fuels with fine-tuning the engine and required modifications could reduce the diesel engine emissions. Oxygenated fuels (such as methanol, ethanol and Butanol) act as stand-in fuel that could enrich the global energy requisites and affirmatively downsize the emissions by accelerating combustion efficiency. Under this circumstance, the experimental analysis was done on a single-cylinder four-stroke DI CI engine using conventional diesel as fuel by injection of ethanol, diethyl ether (DEE) and Butanol independently to into intake manifold at three injection timings viz., TDC, 5 degrees ATDC and 10 degrees ATDC respectively under the constant 27 degrees CA injection duration with the help of a distinct setup comprises of the electronic control unit (ECU) and injector system. The resolutions drawn from the recorded results at 80% load during experimentation summarized that DEE exhibited improved BTE of 2.5% and 1% and reduced smoke emissions of 12.54% and 10.6% compared to that obtained with ethanol and Butanol, respectively. On the other hand, DEE emitted excessive NOx and inferior HC, CO emissions compared to ethanol and Butanol apart from shortened ignition delay and combustion duration. The conclusions are drawn from the injection of oxygenates that apart from the perspective of performance, DEE injection at the 5 degrees ATDC was noticed to be optimal at 27 degrees CA injection duration (3 ms) too for emissions characteristics of a diesel engine.
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    Optimization of Thermal and Structural Design in Lithium-Ion Batteries to Obtain Energy Efficient Battery Thermal Management System (BTMS): A Critical Review
    (Springer, 2021) Fayaz, H.; Afzal, Asif; Samee, A. D. Mohammed; Soudagar, Manzoore Elahi M.; Akram, Naveed; Mujtaba, M. A.; Saleel, C. Ahamed
    Covid-19 has given one positive perspective to look at our planet earth in terms of reducing the air and noise pollution thus improving the environmental conditions globally. This positive outcome of pandemic has given the indication that the future of energy belong to green energy and one of the emerging source of green energy is Lithium-ion batteries (LIBs). LIBs are the backbone of the electric vehicles but there are some major issues faced by the them like poor thermal performance, thermal runaway, fire hazards and faster rate of discharge under low and high temperature environment,. Therefore to overcome these problems most of the researchers have come up with new methods of controlling and maintaining the overall thermal performance of the LIBs. The present review paper mainly is focused on optimization of thermal and structural design parameters of the LIBs under different BTMSs. The optimized BTMS generally demonstrated in this paper are maximum temperature of battery cell, battery pack or battery module, temperature uniformity, maximum or average temperature difference, inlet temperature of coolant, flow velocity, and pressure drop. Whereas the major structural design optimization parameters highlighted in this paper are type of flow channel, number of channels, length of channel, diameter of channel, cell to cell spacing, inlet and outlet plenum angle and arrangement of channels. These optimized parameters investigated under different BTMS heads such as air, PCM (phase change material), mini-channel, heat pipe, and water cooling are reported profoundly in this review article. The data are categorized and the results of the recent studies are summarized for each method. Critical review on use of various optimization algorithms (like ant colony, genetic, particle swarm, response surface, NSGA-II, etc.) for design parameter optimization are presented and categorized for different BTMS to boost their objectives. The single objective optimization techniques helps in obtaining the optimal value of important design parameters related to the thermal performance of battery cooling systems. Finally, multi-objective optimization technique is also discussed to get an idea of how to get the trade-off between the various conflicting parameters of interest such as energy, cost, pressure drop, size, arrangement, etc. which is related to minimization and thermal efficiency/performance of the battery system related to maximization. This review will be very helpful for researchers working with an objective of improving the thermal performance and life span of the LIBs.