Search results

ORNL has been developing models and data to predict powder densification.
As example, two data sets (press data and press and sinter data) of two powder types (Armstrong and HDH) are shown in Figures 2 (a) and (b).
These data sets illustrate the need for improved understanding of consolidation mechanics and mechanisms.
For trucks, the case for weight reduction is different.
There is a paucity of this data and experience where Ti PM is concerned.

Furthermore, all curves were smoothed by a sliding average filter over n = 10 data points for the analysis of the switching energies and n = 75 data points for the automated evaluation of the diD/dt and the dvDS/dt.
The main part of the reduction appears at turn-on (cf.
The reduction in switching losses by the Kelvin source connection is most pronounced at high currents.
Primarily, the loss reduction is due to the faster turn-on.
Despite the loss reduction at turn-on, proper packages with lower stray inductances, i.e. not only revised standard packages with Kelvin source connection, need to be developed to enhance the efficiency of circuitries with SiC-MOSFETs.

The results indicated that (1) there were two processes: Ga(III)→Ga(I)→Ga(0), which corresponded to the double reduction peaks in the cyclic voltammogram; (2) the first reduction process was a diffusion controlled and quasi-reversible process.
Results and Discussion Electrochemical Reduction of Ga (III).
The double reduction peaks in the cyclic voltammogram indicated that there were two processes in the reduction reaction of Ga(III) to Ga(0) in this Lewis acid ionic liquid solution.
According to Chen etal[8], the first reduction peak correspond to reduction process of Ga(III) to Ga(I) at negative electrode, it was [Ga2Cl7]– convert to Ga+ and [GaCl4]- with getting two electrons (Eq.3).
The data of liner slope K, correlation coefficient r, standard deviation S and diffusion coefficient D are listed in Table 1.

Microbial Community Structure Analysis of Blood Pond Hell Hot Spring in Japan and Search for Metal-Reducing Microbes Yusei Masakia, Shin-ichi Hiranob, Naoko Okibea* a Department of Earth Resources Engineering, Kyushu University, Fukuoka 819-0395, Japan b Central Research Institute of Electric Power Industry, Chiba 270-1194, Japan *correspondence: okibe@mine.kyushu-u.ac.jp, +81-(0)92-802-3312 Keywords: microbial diversity, extreme environment, Fe(III) reduction, Cr(VI) reduction, Sulfolobus.
Two isolates showing Fe(III) reduction ability were named Sulfolobus sp.
Cr(VI) reduction test.
The fact that no decrease in total Cr concentrations was observed in cell suspensions (data not shown) indicate that highly toxic Cr(VI) was microbially reduced to less toxic/soluble Cr(III) in the solution phase.
The finding that Cr(VI) reduction was seen more effectively with GA1 than GA2 (Fig. 2), was consistent with our preliminary observation that GA1 reduced Fe(III) more readily than GA2.

Results show that the inorganic membrane Fe-based oxygen carrier has higher reduction reactivity and stability than the conventional oxygen carrier.
Their activity was measured with a thermogravimetric analyzer (TGA) during reduction/oxidation cycles and Temperature programmed desorption (TPD).
Every cycle of the reduction of the OCs with CO and oxidation with air were conducted at 850℃.
Data in reduction TGA tests is directly got by a sample weight evolution as a function of time.
Fig. 2a shows the conversion data of both OC samples as a function of time in reduction stage, respectively.

The Si steel was multi-passed rolled at 800oC to a various reductions up to 50%.
The 0.2% proof strength (a) tended to increase with the increasing of the reduction and also strain rate.
The total elongation (b) tended to increase with the increase of the reduction by the rolling when the data were compared at the same strain rate.
The threshold strain rate increased with the increasing of the reduction.
The threshold strain rate is higher with increasing of the rolling reduction

The friction force between pin and disc during the pin revolving was recorded automatically with a load cell every 0.5 s and these data were used to calculate the COF.
The highest COF reduction was 0.059 corresponding to the nanoparticle concentration of 0.5 wt%, which indicated that aluminum nanoparticles contribute to friction reduction.
In addition to the friction coefficient data, the special wear rate of the disc from the above trials was measured, see in Fig. 4.
The influence of dispersant oleic acid on the friction reduction and anti-wear properties of nanoparticles were studied.
Furthermore, the effect of a surfactant agent on friction reduction is indicated in Fig. 7.

The Study on Water Conservation in Thermal Power Plants Jianlei Zhou 1, a , Yuyun Fu1, b 1Baoding Technical College of Electric Power, Baoding, Hebei, 071051, China agary99012003@163.com, bbddyfuyy@126.com Keywords: Thermal Power Plant, Water Conservation, Emission Reduction, Consumption Reduction Abstract: As the main working fluid pair to transfer energy and cool down the equipment, water is used in a large amount in thermal power plants.
The power plants should follow the direction of “energy saving, water saving and emission reduction” to achieve zero wastewater emission and contribute to the development of circular economy.
Reference: [1] Dawei Zhang, The Current Situation and Analysis of Industrial Water-saving and Emission Reduction Technology [J].
[2] Lin Zhang, The Analysis and Reform of Water-saving and Emission Reduction Technology in Thermal Power Plant[J].
The Ways and Potential Analysis of Chemical Water Conservation and Emission Reduction in Yangcheng Power Plant [J].Inner Mongolia Technology & Economy, 2011,24: 132-136

In this context, two keywords are therefore frequently mentioned: "Big Data" and "data-driven forecasting" [5].
These data volumes offer cost reduction potentials of e.g. up to 20% of the manufacturing costs [8], which are underestimated by many companies [9].
The process data can also show which cost reduction effects and mutual dependencies are associated with the individual parameters [11].
Hemmrich, Data Mining und Industrie 4.0.
Waschbusch, Big Data in der Produktion: große Daten = großes Potential?

An equation, d (µm) =102.07 Z -0.16, was found to satisfy the experimentally obtained data.
Cutting Observed area Cutting Observed area 5K/s 773, 823, 923K for 60s soaking Water quenching Compressive deformation 75% reduction ε=1, 0.01s-1 ・ 5K/s 773, 823, 923K for 60s soaking Water quenching Compressive deformation 75% reduction ε=1, 0.01s-1 ・ 75% reduction ε=1, 0.01s-1 ・ Fig. 1 Experimental procedure.
The data of this study is almost on a single straight line and the following relationship was found between the grain size d and the Z parameter.
Thick line and thin line represent a grain boundary with misorientation θ ≧ 5° and 5° > θ ≧1.5°. 5µm Compression axis 923K,10/s eq =1.2 eq =1.7 eq =2.7 eq =3.8 ε εε ε 5µm 5µm 5µm ・ The data of this study shown in Fig. 4 is on an extension line of the data of subgrain size rather than the grain size of dynamic recrystallization (DRX) reported by Tsuji [11] .
It may be noted from Fig.7 that the data of multi-pass caliber rolled specimens exactly lies on the data of single-pass compressed specimens.