430 research outputs found
Experimental Investigation of Gaseous Emissions and Hydrocarbon Speciation for MF and MTHF Gasoline Blends in DISI Engine
With the increasing shortage of fossil energy, the development of engines urgently requires alternative fuels. Gaseous emissions of a gasoline direct injection spark ignition engine fueled with blends of 2-methylfuran (MF 20% vol. and gasoline 80% vol.) and 2-methyltetrahydrofuran (MTHF 20% vol. and gasoline 80% vol.) were experimentally investigated using Gasmeth FTIR. Experiments were conducted at air-fuel ratio (λ = 1) and at engine speed of 1500 rpm using the fuels optimised spark timing. Effects of fuel injection sweeps (180–280 °CA BTDC) on the emission characteristics of blends were investigated at the intermediate load of 5.5 bar IMEP. Hydrocarbon emission (HC) for gasoline is about 41% and 16% higher compared to MF20 and MTHF20 respectively. Carbon monoxide emission for the fuels increases as the injection timing is retarded but the Nitrogen oxide (NOx) emissions was observed to reduce with the retarded injection timing. Both MF20 and MTHF20 recorded high NOx emissions compared to gasoline. The results indicated ethylene (25–26%) as the major component of the HC speciation in the fuels investigated. The unburnt furan samples for blend fuels were determined to be less than 3% of HC emissions, which could be considered a safe level for exposure
Experimental Study on the Adhesive Fuel Features of Inclined Wall-Impinging Spray at Various Injection Pressure Levels in a Cross-Flow Field
The wall-impingement phenomenon significantly impacts mixture formation, combustible performance, and pollutant release in DISI engines. However, there is insufficient knowledge regarding the behavior of fuel adhesion. Thus, here, we examine adhesive fuel features at various injection pressure levels (5 and 10 MPa) in a cross-flow field (0 to 50 m/s). The RIM optical method was employed to track the expansion and distribution of fuel adhesion. As a result, adhesive fuel features such as area, mass, thickness, and lifetime were assessed. Postprocessing image analysis reveals that fuel adhesion was consistently thinner at the edge region. With increased injection pressure, the cross flow led to a rise in the fuel-adhesion area and mass; however, small changes in pressure did not affect adhesive thickness. Adhesive thickness significantly decreased in the cross flow, indicating enhanced evaporation potential. Furthermore, lifetime prediction was conducted to quantitatively evaluate the impact of cross flow and injection pressure upon fuel adhesion, which could be calculated by examining the decreasing trend in adhesive area. Results show that the lifetime was dramatically reduced with higher cross-flow velocity, and slightly decreased with lower injection pressure. Under injection pressure of 10 MPa, the adhesive lifetime in the cross-flow field of 50 m/s was reduced by 77.5% compared with the static flow field (0 m/s). The experimental results provide corresponding guidance for low-carbon fuel utilization and emission reduction in DISI engines
Compressed Wideband Spectrum Sensing Based on Discrete Cosine Transform
Discrete cosine transform (DCT) is a special type of transform which is widely used for compression of speech and image. However, its use for spectrum sensing has not yet received widespread attention. This paper aims to alleviate the sampling requirements of wideband spectrum sensing by utilizing the compressive sampling (CS) principle and exploiting the unique sparsity structure in the DCT domain. Compared with discrete Fourier transform (DFT), wideband communication signal has much sparser representation and easier implementation in DCT domain. Simulation result shows that the proposed DCT-CSS scheme outperforms the conventional DFT-CSS scheme in terms of MSE of reconstruction signal, detection probability, and computational complexity
Compressed Wideband Spectrum Sensing Based on Discrete Cosine Transform
Discrete cosine transform (DCT) is a special type of transform which is widely used for compression of speech and image. However, its use for spectrum sensing has not yet received widespread attention. This paper aims to alleviate the sampling requirements of wideband spectrum sensing by utilizing the compressive sampling (CS) principle and exploiting the unique sparsity structure in the DCT domain. Compared with discrete Fourier transform (DFT), wideband communication signal has much sparser representation and easier implementation in DCT domain. Simulation result shows that the proposed DCT-CSS scheme outperforms the conventional DFT-CSS scheme in terms of MSE of reconstruction signal, detection probability, and computational complexity
Interference Management by Harnessing Multi-Domain Resources in Spectrum-Sharing Aided Satellite-Ground Integrated Networks
A spectrum-sharing satellite-ground integrated network is conceived,
consisting of a pair of non-geostationary orbit (NGSO) constellations and
multiple terrestrial base stations, which impose the co-frequency interference
(CFI) on each other. The CFI may increase upon increasing the number of
satellites. To manage the potentially severe interference, we propose to rely
on joint multi-domain resource aided interference management (JMDR-IM).
Specifically, the coverage overlap of the constellations considered is
analyzed. Then, multi-domain resources - including both the beam-domain and
power-domain - are jointly utilized for managing the CFI in an overlapping
coverage region. This joint resource utilization is performed by relying on our
specifically designed beam-shut-off and switching based beam scheduling, as
well as on long short-term memory based joint autoregressive moving average
assisted deep Q network aided power scheduling. Moreover, the outage
probability (OP) of the proposed JMDR-IM scheme is derived, and the asymptotic
analysis of the OP is also provided. Our performance evaluations demonstrate
the superiority of the proposed JMDR-IM scheme in terms of its increased
throughput and reduced OP.Comment: Submitted to IEEE Transactions on Vehicular Technology, Under revie
Experimental investigation on combustion and emission characteristics of non-premixed ammonia/hydrogen flame
Design of next generation high throughput satellite communication system based on beam-hopping
Beam-hopping technology provides a basis for flexible allocation and efficient utilization of satellite resources,and it is considered as a key technology of the new generation of high-throughput satellite.With the goal of service-driven,efficient utilization of resources and on-demand coverage of hot spots area,from the aspects of system architecture,communication system,working mechanism,resource allocation method and beam-hopping pattern design,user access strategy,air interface protocol design and system workflow,a top-down feasibility and technical foundation was provided for the design of a new generation of high-throughput satellite communication system based on beam hopping.Finally,it meet the requirements of flexible and mobile information service for the space-earth integration network,as well as the demand of the space-based backbone network with high reliability and large capacity transmission
Coarse-grained Soft-Clusters Remain non-Diffusing in the Melt State
Melts of 3-dimensional dendritic beads-springs, namely coarse-grained
soft-clusters, are studied by molecular dynamics simulations. The goal is to
elucidate the unique dynamics of giant molecules, or generally speaking,
3-dimensional architectured polymers. When constituted by more than the
critical number around 200 beads, soft-clusters cannot diffuse or relax far
above their glass transition temperature, although relaxation can happen on the
level of beads. Each soft-cluster can only rotate in the cage formed by
neighboring soft-clusters. Such a non-diffusing state would transform to the
liquid state at exceptionally high temperature, e.g. 10 times the glass
transition temperature. Agreeing with experiments, 3D hierarchies lead to
unique dynamics, especially their divergent relaxation times with the number of
beads. These unique dynamics are in sharp contrast with 1-dimensional
chain-like polymers. We name such a special state as 'cooperative glass',
because of the 'cooperation' of the 3D-connected beads. The design of
soft-clusters may also resemble cooperative rearranging regions where
cooperativeness is contributed by low temperature, thus offer further insights
into the glass problem
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