272 research outputs found
RC Autonomous Circuits with Chaotic Behavior
The paper presents obtained results with applying the "Semi-systematic procedure for producing the chaos from quasi-sinusoidal oscillators". We applied this procedure to RC autonomous circuit and obtained two new autonomous circuits with chaotic behaviour. The two obtained circuits are presented. The usage of various non-linear devices is examined
A new treatment process to recover magnetite, zinc and lead from iron and steelmaking dusts and sludges
Steelmaking dusts are frequently classified as hazardous residues, due to their
eco-toxicity characteristics. This derives mainly from the presence of heavy metals like
zinc, lead and cadmium in their compositions, in forms that are easily leachable by water or slightly acidic or alkaline media. Following the most employed eco-toxicity standard tests, like DIN 38414-S41) from Germany, and TCLP (Toxicity Characteristic Leaching Procedure)2) from the United States, steelmaking dusts present a high level of mobility of heavy metals, what is relevant for the evaluation of their environmental impact, when disposed in controlled landfills.
In the present project (contract number ERB IC 15CT97-0704), a new process is being developed to recover valuable metals and products from steelmaking dusts and
sludges. Two different process routes are being evaluated, both from the technical and
from the economic points of view. A pre-treatment stage, based on water leaching of the dusts, is, in both cases, studied, to remove alkalis present in the wastes
A statistical study of the performance of the Hakamada-Akasofu-Fry version 2 numerical model in predicting solar shock arrival times at Earth during different phases of solar cycle 23
The performance of the Hakamada
Akasofu-Fry, version 2 (HAFv.2) numerical model, which provides predictions
of solar shock arrival times at Earth, was subjected to a statistical study
to investigate those solar/interplanetary circumstances under which the
model performed well/poorly during key phases (rise/maximum/decay) of solar
cycle 23. In addition to analyzing elements of the overall data set (584
selected events) associated with particular cycle phases, subsets were
formed such that those events making up a particular sub-set showed common
characteristics. The statistical significance of the results obtained using the
various sets/subsets was generally very low and these results were not significant
as compared with the hit by chance rate (50%). This implies a low level
of confidence in the predictions of the model with no compelling
result encouraging its use. However, the data
suggested that the success rates of HAFv.2 were higher when the background
solar wind speed at the time of shock initiation was relatively fast. Thus,
in scenarios where the background solar wind speed is elevated and the
calculated success rate significantly exceeds the rate by chance, the
forecasts could provide potential value to the customer.
With the composite statistics available for solar cycle 23,
the calculated success rate at high solar wind speed, although clearly above
50%, was indicative rather than conclusive. The RMS error
estimated for shock arrival times for every cycle phase and for the
composite sample was in each case significantly better than would be
expected for a random data set. Also, the parameter "Probability of
Detection, yes" (PODy) which presents the Proportion of Yes observations
that were correctly forecast (i.e. the ratio between the shocks correctly
predicted and all the shocks observed), yielded values for the
rise/maximum/decay phases of the cycle and using the composite sample of
0.85, 0.64, 0.79 and 0.77, respectively. The statistical results obtained
through detailed analysis of the available data provided insights into how
changing circumstances on the Sun and in interplanetary space can affect the
performance of the model. Since shock arrival predictions are widely
utilized in making commercially significant decisions re. protecting space
assets, the present detailed archival studies can be useful in future
operational decision making during solar cycle 24. It would be of added
value in this context to use Briggs-Rupert methodology to estimate the cost
to an operator of acting on an incorrect forecast
Iterative inversion of global magnetospheric ion distributions using energetic neutral atom (ENA) images recorded by the NUADU/TC2 instrument
A method has been developed for extracting magnetospheric ion distributions from Energetic Neutral Atom (ENA) measurements made by the NUADU instrument on the TC-2 spacecraft. Based on a constrained linear inversion, this iterative technique is suitable for use in the case of an ENA image measurement, featuring a sharply peaked spatial distribution. The method allows for magnetospheric ion distributions to be extracted from a low-count ENA image recorded over a short integration time (5 min). The technique is demonstrated through its application to a set of representative ENA images recorded in energy Channel~2 (hydrogen: 50–81 keV, oxygen: 138–185 keV) of the NUADU instrument during a geomagnetic storm. It is demonstrated that this inversion method provides a useful tool for extracting ion distribution information from ENA data that are characterized by high temporal and spatial resolution. The recovered ENA images obtained from inverted ion fluxes match most effectively the measurements made at maximum ENA intensity
Bismuth Doping in Nanostructured Tetrahedrite: Scalable Synthesis and Thermoelectric Performance
In this study, we demonstrate the feasibility of Bi-doped tetrahedrite Cu12Sb4−xBixS13
(x = 0.02–0.20) synthesis in an industrial eccentric vibratory mill using Cu, Sb, Bi and S elemental
precursors. High-energy milling was followed by spark plasma sintering. In all the samples, the
prevailing content of tetrahedrite Cu12Sb4S13 (71–87%) and famatinite Cu3SbS4
(13–21%), together with small amounts of skinnerite Cu3SbS3, have been detected. The occurrence of the individual Cu-Sb-S phases and oxidation states of bismuth identified as Bi0 and Bi3+ are correlated. The most
prominent effect of the simultaneous milling and doping on the thermoelectric properties is a decrease
in the total thermal conductivity (κ) with increasing Bi content, in relation with the increasing amount
of famatinite and skinnerite contents. The lowest value of κ was achieved for x = 0.2 (1.1 W m−1 K
−1 at 675 K). However, this sample also manifests the lowest electrical conductivity σ, combined with
relatively unchanged values for the Seebeck coefficient (S) compared with the un-doped sample.
Overall, the lowered electrical performances outweigh the benefits from the decrease in thermal
conductivity and the resulting figure-of-merit values illustrate a degradation effect of Bi doping on
the thermoelectric properties of tetrahedrite in these synthesis conditions
Characterization and pre-treatment of steelmaking dusts in order to recover valuable products
Steelmaking dusts are frequently classified as hazardous residues, due to their eco-toxicity characteristics. This derives mainly from the presence of heavy metals like
zinc, lead and cadmium in their compositions, in forms that are easily leachable by water or slightly acidic or alkaline media. Following the most employed eco-toxicity standard tests, like DIN 38414-S41) from Germany, and TCLP (Toxicity Characteristic Leaching Procedure)2) from the United States, steelmaking dusts present a high level of mobility of heavy metals, what is relevant for the evaluation of their environmental impact, when disposed in controlled landfills.
By this work, financed by the European Communities COPERNICUS Programme, a characterisation of the dusts generated in different steelmaking plants has been done. Also, the behaviour of the dusts when washed with cold water has been evaluated, giving some informations on the mobility of metals and on the prospects for pre- treatment of the residues to recover valuable products
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