Search results

The second one was a CP-3800 equipped with a Propak Q column with helium as carrier gas for measuring CO2 production. 2.3 Experimental data evaluation Conversion of model tar compounds to gaseous products (CO, CO2 and CH4) in the presence of the different catalysts was determined as a function of temperature (T), steam to carbon ratio (S/C) and space velocity (SV).
The data points that represent the model tar compound conversion were average points of three tests. 2.4 Characterization of the catalysts 2.4.1 X-ray diffraction (XRD) The analysis of crystalline structure was done by XRD, Maximum-3B Diffractometer from Japan.
The first peak of original olivine was attributed to the reduction of its ‘extra framework’ of iron oxide and the second peak was attributed to the reduction of Fe2O3·H2O.
No obvious observation of iron oxide in olive structure was observed since no reduction at 1173K.
With the addition of Mg, the first reduction peak of Catalyst C was higher than the original one.

Results of the slump test data for the mixture were recorded in millimetres (mm) shown in Fig. 2.
Based on the data in Fig. 2, it was clearly indicates that the slump of the mixture was reduced when aluminum waste content increased.
The reductions of slump are 14, 16.7 and 18.3 mm for 1%, 2% and 5% of aluminum waste, respectively.
From the data collected, it shows that the compressive strength of the concrete will be increased by adding aluminum waste into the mixture for the specimen tested at 7, 14 and 28 days.
The data as shown in Fig. 3 reveal that, at all ages the strength of control concrete were higher than the corresponding concrete containing aluminium waste.

The instrument used to collect data is GPS-ISA device.
The data gained from questionnaire are attention level, stress level, and ISA acceptance level.
Analyze the data from GPS device and questionnaires.
Data Collection 1) Firstly, data collection before intervention of ISA.
Based on data analysis of speed profile, P-value is 0.041644 which less than value of alpha (0.05) which means the data is significant.

The average plastic strain ratio (the -value) and the anisotropy parameter ½ΔR½calculated from the measured texture of AA1050 Al alloy sheet treated by the heavy asymmetric rolling by 84% reduction in thickness and subsequent annealing for 1 h at 500 °C, followed by light rolling by 10% or 20% reduction in thickness and the subsequent annealing for 1 h at 500 °C increased by 1.52 times that of the non-processed specimen and reduced to 1/12 times that of the non-processed specimen, respectively.
The starting Al alloy sheets were asymmetrically rolled by about 84% reduction in thickness in 5 passes (reduction path: 2.92→1.74→1.05→0.69→0.53→0.46 mm) and annealed for 1 h in a salt bath at 500˚C.
The asymmetrically rolled and annealed Al alloy sheets were symmetrically rolled by 10 and 20% reductions in thickness in 1 and 2 passes, respectively.
The complete pole figures and orientation distribution functions (ODFs) of the upper, center and lower planes of the Al alloy sheets were calculated using the measured pole figure data [28, 29].
The R-value, -value, and ½ΔR½ were calculated by orthorhombic symmetry from the pole figure and ODF data using Bunge method [28, 29].

Detailed simulation results, which are validated against experimental data provided by Group Lotus plc, are reported here and quantitative conclusions are drawn for maximising airflow in future inlet manifold design.
This reduction in magnitude of pressure wave results is a reduction in quantity of air forced into the cylinder, thus reducing the volumetric efficiency.
These results are validated against Lotus engine data and other published data [7] [8], and they are generally in good agreements.
As the entry radius is increased a larger bandwidth but a reduction in peak pressure was seen.

The distribution functions of these variables are determined by statistical methods based on data collected from field and laboratory tests.
This method is used worldwide[6,7,8] because it inherits the reliability level (or probability of failure) of the current code, and develop a reasonable target index by calibrating the implied index with statistical data collected from engineering practices.
These coefficients were determined by an expert panel according to related historical data and engineering judgments.
The resistance reduction factor is selected mainly based on data collected in routine inspections, and in most cases, field test is optional.
The resistance reduction factor is computed based on data collected from both annual inspections and field tests, and load test is required when the ratio of load effect to resistance is between 1.0 and 1.2.

Data Acquisition Module Design.
The data acquisition module mainly achieves accurate and rapid weight data collection.
Data Transmission Module Design.
Data Storage Module Design.
The standard JTAG interface has 4 lines: TMS(mode selection), TCK(clock), TDI(Data-in), TDO(Data-out).

Slab was reheated at 780°C (ferrite; α + austenite; γ phase region) and rolled with 90% reduction down to 12mm in thickness using laboratory mill. 700°C (ferrite; α + cementite; θ phase region) rolled plate was also prepared to compare with 780°C rolled plate.
The rolling reduction was divided into 20 passes to lighten a load imposed on the mill and average reduction per pass was around 10%.
Deformation stress was derived from experimental data measured by thermo-mechanical simulator in advance.
Fine-grained ferrite is formed by Total reduction 90% Ac3: 880°C α + θ α + γ Ac1: 730°C 780°C 700°C 120mm 12mm grain subdivision, thus dynamic recrystallization process.
The ratio evaluated by SEM micrographs is in good accordance with EBSD data.

., Hsinchu 300, Chinese Taipei aamylee@cuh.edu.tw, bm10021019@chu.edu.tw, camytu@chu.edu.tw, dd09803006@chu.edu.tw, eweiming@chu.edu.tw Keywords: Solar energy, site selection,data envelopment analysis (DEA) Abstract.
Through literature review and the experience of the experts in the field, this research aims to collect the most important factors for site selection.Data envelopment analysis (DEA) is applied to assess what place is most suitable for the establishment of a solar plantin Taiwan.
Method Data envelopment analysis (DEA) can consider multiple inputs and outputs to generate a single measuring index for each decision making units (DMU).
In an input orientation (input minimization), maximal movement toward the frontier through proportional reduction of inputs is focused [6].
[6]Chung, S.H., Pearn, W.L., Lee, A.H.I., Measuring production performance with different product mixes in semiconductor fabricator using data envelopment analysis (DEA).International Journal of Industrial Engineering- Theory, Application, and Practice 13(1), 5-17(2006).

All the data are get after the smoothing process.We use SPSS statistical software to process the statistical data.
The speed decreases as early as in the last two step touching the ground and leaving the ground, the average reduction is 0.10m/s.
The average reduction is 0.06m/s.
The leaving ground angles of the last two steps are 0.2 and 3.1 degrees greater than those of foreign players, the last two step showed no significant difference (P> 0.05), but the last one step shows a great difference (P <0.05). the leaving ground angle will contribute to reduction of the horizontal pushing strength. thus affecting the speed of recovering the speed in the pushing stage.
The value of the landing angle and take-off angle Last two step Last one step Landing Leaving Landing leaving Domestic Players( x ) 85.5±2.95 63.1±2.8 72.70±3.4 62.1±3.2 Foreign Players( x ) 86.2±2.9 62.9±2.6 77.80±2.90 59±3.10 difference －0.7 0.2 －5.1 3.1 P ＞0.05 ＞0.05 ＜0.01 ＜0.05 The influence of the landing angle and leaving ground knee angle on the speed In current documents and data, very few literature studies the influence of the landing angle and leaving ground knee angle on run-up speed.