Search results

All reported data of kinetics tests are averages of two parallel bottles.
The identification of the crystalline phases was accomplished using standard cards from the International Centre for Diffraction Data (ICDD).
Growth kinetic of dissimilatory Fe(III) reducing mixed cultures (Each data represents means of two sampled vials ± standard deviation) Bacterial growth on Fe(III) oxyhydroxides.
The two solids tested were dissolved under dissimilatory Fe(III) reduction conditions (Fig. 2).
Kinetic of dissimilatory dissolution of Fe(III) oxyhydroxides (Each data represents means of two sampled vials ± standard deviation) References [1] A.

With the great volume of operation data, an fuzzy rough set (FRS) –based big data analytics were introduced to build the intelligent energy-saving decision-making model.
Big data-driven energy-saving decision-making model of thermal power units 3.1.
Energy-saving decision making model The proposed intelligent energy-saving decision making model are based on the great volume of practical operation data with big data analytics.
Such a method emphasizes the huge volume of data and implies that the collected data set covers almost the whole population as well.
Remote data center monitoring and management.

The weight decrease on time, presented in Fig. 4 (the data is processed by methods of linear approximation) was fixed.
Under the received data the values of reactionary ability corresponding to these temperatures under the formula (14) are calculated as: For processing of experimental data, the mathematical procedure offered in the works [3, 16] was used
There is no data about equivalent or close correlation connection of the indicators CRI/CSR with technical and economic indicators of the blast furnace smelting.
In a certain zone of the furnace at a reduction stage of magnetite the reaction of wustite reduction tends to a thermodynamic equilibrium.
In this zone so-called zonal reduction realizes when the processes of reduction of various iron oxides combine in time.

The x-ray diffraction (XRD) data show that the reduction annealing process decreases c-axis length indicating successful removal of the excess oxygen.
Moreover, some studies claimed that the O(3) can be eliminated through the “modified” reduction annealing process [11–13].
Fig. 1 also describes that there are peaks that shift to a higher diffraction angle after the reduction annealing.
Similarly, the reduction annealing also provides an effect on the R distance.
Baqiya et al., ‘Ce-Doping and Reduction Annealing Effects on Magnetic Properties of Pr2-xCexCuO4 Nanoparticles’, J.

The two main problems in data-based SHM are therefore: (1) If supervised learning is necessary, how does one acquire data corresponding to damage states of the structure
Basically, a statistical model of the healthy system is created, based on normal data and then subsequent data are tested to see if they are statistically consistent or inconsistent with the normal data.
The first SVM (labelled SVM0) seeks to separate damage-state data from normal-state data.
Confusion matrix for Classifier 2 applied to testing data.
Also concerned with the problem of sourcing data, a classifier has been presented that has generalised from single-site damage data to multi-site data.

Fig.5 Relationship between variation of cylindrical void dimension and reduction (inter- mediate section) As indicated by the data shown in Fig. 5, the first stage closure of cylindrical void at different locations in ingot has identical process.
Fig.7 shows the relationship between void dimension variation and reduction.
(a) spherical void (b) tetrahedral void Fig.8 Distribution of isoline of effective strain in ingot (ε=42%) Also, cylindrical, spherical and tetrahedral void of different dimension from 1 to 5 mm were used to carry out analysis of influence on the rate of void closure induced by different dimension. 0.15 0.2 0.25 0.3 0.35 0.4 0.45 0 1 2 3 4 5 6 void dimension c r i t i c a l r e d u c t i o n spherical void tetrahedral void cylindrical void (intermediate section) Fig.9 Relationship between void dimension and critical reduction (central porosity) The data in Fig. 9 show that void of different dimension is almost closed up with identical reduction, which is theoretically confirmed by elasticity analytical solution of void issue.
Tetrahedral void has the maximal values of critical reduction on void closure during forging.
Tetrahedral void has the maximal values of critical reduction on void closure during forging.

Results and Discussion Reaction Mechanism of Catalytic Reduction of Nitrate.
Fig. 1 Hypothetical mechanism of catalytic nitrate reduction（*--the state of adsorbed phase） NO is the key intermediate on the selectivity of catalytic nitrate reduction [10].
Kinetics of Catalytic Nitrate Reduction.
Then equation (2) is simplified as： (3) Considering given conditions：when t=0, and , Equation (3) was processed by Laplace transform, then nitrate concentrations over time can be calculated by computer simulation as following: (4) In order to test for the proposal dynamic model, the experiment results from Fig.3 were plotted according to Eq. (1) and Eq. (4) to see whether a straight line passing through data can be obtained.
Kinetics of nitrate reduction in monolith reactor.

The goals of the automation of design, small size and light weight for the sprung parts are easily realized, and the protection of weight reduction, lower cost and less material reserve has also been gotten in the curtain wall project.
（1） Where [T] is the coordinate conversion matrix.The general stiffness matrix in global coordinate system [K] can be combined by laying each [k]e to corresponding node number.After the equations set between the general stiffness matrix in global coordinate system [K] and load array {R},[K]{q}={R},is established and resolved based on the special final condition, the data of displacement, strain and stress of above model can be easily obtained.
For more detailed,you can see [5]. 1.3 The optimal model of sprung parts 1.3.1 The objective function In order to achieve the goals of energy conservation and weight reduction, the best method is decreasing the volume of sprung parts by analyzed the structure of sprung parts.
The weight reduction in the project is 6258.6kg, and the decreased cost is $6462.
The goals of the automation of design, small size and light weight for the sprung parts are easily realized, and the protection of weight reduction, lower cost and less material reserve has also been gotten in the curtain wall project.

Overall noise reduction result is difficult to meet the expected goal.
In this paper, a full-scale diesel engine model was established, and the model is calibrated with the experiment data.
With this model, the noise and vibration reduction were analyzed.
Fig.1 Thermodynamics and acoustics model of single cylinder diesel engine In order to simulate the actual working state accurately, the diesel engine numerical model is calibrated with the experimental data.
The model is calibrated with experimental data.

H2-Temperature-programmed-reduction (TPR) profiles.
Genarally the reduction of iron oxides take place in two steps.
Table 1: H2-TPR data of the catalysts Catalyst 5wt%/Al2O3 Reduction temperature (◦C) Peak 1 Peak 2 Peak 3 Co/ Al2O3 507 650 731 70Co:30Fe/Al2O3 447 501 667 50Co:50Fe/Al2O3 328 412 614 30Co:70Fe/Al2O3 456 458 669 100Fe/ Al2O3 454 635 716 Bimetallic nanocatalysts showed different reduction patterns than monometallic nanocatalysts.
Total H2-consumption and degree of reduction of the catalysts.
Fig. 3: Representative spectrum of CO-Chemisorption at 250 ◦C for Co/Al2O3 Table 3: CO-Chemisorption data for 5wt%/Al2O3 catalysts Catalyst CO-Adsorbed (μmol/g.cat) Co/Al2O3 0.41 70Co:30Fe/Al2O3 0.50 50Co:50Fe/Al2O3 1.77 30Co:70Fe/Al2O3 0.57 Fe/Al2O3 0.27 X-ray diffraction analysis.