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A conventional creep equation based on tensile test data was adopted as a material model for the simulation.
Modeling Details 2.1 Material data The flow stress behavior during superplastic forming can be represented by the power law given by equation (1).
The data for the simulations were extracted from tensile test results with the corresponding strain rate of 0.003 s-1 and temperature of 400 ºC [9].
The bounded data are summarized in Table 1.
Table 1 Material data for AA5083 (unit: Pa) Parameter Value Parameter Value K 4.05×108 A 8.51×10-19 n 0.151 � 2.093 m 0.327 M -0.315 2.2 Simulation model The model used for the simulation is presented in Fig. 1.

PCA is used to reduce the dimension of original data, while FNN is applied to train and test the new data.
PCA PCA, Principal Component Analysis, is a linear input dimension reduction technique.
Experimental results This experiment used PCA to reduce the dimension of characteristic parameters of statistical data on water injection, and then FNN was applied to train and predict the data for further research.
The experimental processes are shown in figure 2: Fig. 2 Experimental process Data preparation.
The fuzzy membership function center C and width B obtained randomly. 116 groups of data samples were randomly divided into two parts of the training set and test set, the training set for 100 groups of data samples, the test sets for the rest of the 16 groups of data samples.

The paper specially focuses on how to fulfill the requirements of engineering projects by properly replacing fine aggregates with crumb rubber concrete based on the experimental results and their potential application, and accumulating experiment data for future design of rubberized concrete according to specific engineering requirements.
The density reduction mainly contributed to the lower specific gravity of crumb rubber (1120kg/m3) compared to that of river sand (2610 kg/m3).
The density reduction feature could be reasonably used in a number of engineering projects, such as false facades, and interior construction [10].
It is clear that the higher the rubber content in the concrete mix, the more the compressive and flexural strength reduction.
The strength reduction could be attributed to the lower strength of rubber aggregate than surrounding cement, microcracks initiated around rubber particles upon loading because of elastic mismatch.

Therefore, reduction of excess sludge is one of the biggest challenges in biological wastewater treatment.
All the fate of the nitrogen were showed in the Fig.2, the data showed that most of the nitrogen released from the ozonated sludge were escaped from the supernate in the form of nitrogen and ammonia. 10.31 1.02 109.83 121.04 Solid nitrogen Organic nitrogen Ammonia Nitrate nitrogen Other gas forms (ammonia or nitrogen) Nitrite nitrogen 3.23 Fig.2 Nitrogen balance after ozonation (Units: mg/L) Ozone oxidation enables the destruction of microorganism cells and the elution of cytoplasm compounds into the bulk solution [7].
Choi: Ozonation of wastewater sludge for reduction and recycling.
Hwang: Reduction of sludge by ozone treatment and production of carbon source for denitrification.
Weerapakkaroon: Advanced sewage treatment process with excess sludge reduction and phosphorus recovery.

The reduction of OPC content leads to a high reduction on the compressive strength of the mortars.
The slow hydration characteristics of fly ash contribute to explain that reduction.
Since this mixture has a higher percentage reduction on OPC content this could mean that the addition of metakaolin and calcined sodium hydroxide could have compensated that reduction.
So the differences between the several mixtures could be explained by the scatter data because they are small enough for that.
Compressive strength results were also presented showing that the reduction of OPC content in the mortars leads to a high reduction on the compressive strength.

The data were scanned from 15º - 60º of 2θ at room temperature.
The XRD data of samples was found to be in good agreement with the reported XRD pattern of BaBPO5 (PDF 01-089-4624).
The data also show similarities to the pattern assigned previous study of BaBPO5: Ce and BaBPO5: Sm phases [2, 16].
The data show no peaks originating from the dopant.
Data XRD shows the BaBPO5 phosphors were evaluated to have hexagonal structure.

It means that an 84% reduction of NOx is made.
Dual fuel engine has a natural advantage in CO2 emission reduction.
In the measure of the contribution to the greenhouse effect, not only see the CO2 emission reduction result, but also consider negative influence CH4 produced.
The table 2 and table 3 are the main parameters of the target ship: Table 3 Measured data of 5S60ME-C load （%） 50.0 75.0 90.0 100.7 measured fuel consumption (g/kWh) 172.3 165.6 168.5 170.2 measured power (kW) 4415 6625 7950 8891 Table 2 The main parameters of target ship main engine rated power 8833 kW gross tonnage 40896 t main engine rated specific fuel consumption 173.775 g/kWh deadweight tonnage 76450 t operational power 7950 kW full load speed 13.6 kn All the following calculations are assuming that the ship is fully loaded and running at the power of 7950kW
According to the data above in the table, using formula (1) and formula (2), when the target ship using original main engine with heavy oil, its EEDI value is 3.60 and EEOI value is 4.30×10-6

The application of VSM and line balancing in a gear manufacturing industry brings an idea of setup time and cycle time reduction [14].
The data were collected for making current state VSM to identify the NVA activities and the opportunities for change.
Data Collection and Analysis: Data was collected with the purpose of knowing the current state of VSM in the industry, using a stop watch, and they included activities cycle times, activities setup times, number of operators and value and non-value added activities.
Reduction of about 350 seconds in cycle time and 1500 seconds in setup time was achieved through standardization.
Venkatraman, Vijaya Ramnath, Muthu Kumar and Elanchezhian, (2014), “Application of value stream mapping for reduction of cycle time in a machining process”, Procedia Material Science, Vol. 6, pp. 1187-1196 [5] S.

Major energy consumption of transportation in Shandong province The data shows that oil is the largest energy consumption of transportation in Shandong province in recent years , accounting for about 95% of the total four energy consumption, relatively speaking, other types of energy consumption is much lower.
Table 1 Main energy consumption statistics of the transportation of Shandong Province, in September 2006-2011 [million tons] 2006 2007 2008 2009 2010 Jan-Sep 2011 coal 14.29 15.71 18.57 18.57 18.57 18.57 oil 1923.1 2066.18 2388.22 2452.59 2684.2 2013.41 gas 7.49 7.47 11.27 13.09 16.11 14.69 electricity 27.1 32.68 38.38 43.67 47.82 40.97 The proportion of energy consumption of transportation in Shandong province The data shows that oil consumption of transportation accounts for about 35% of total oil consumption in Shandong province, followed by natural gas consumption, accounting for about 2.7%.Overall, the absolute amount of each energy consumption of transportation is increasing year by year, and the proportion of the total energy consumption is relatively stable.
Improve supervision of transportation energy – saving Build statistical reporting schemes on energy consumption, and regularly carry out an assessment of the situation of energy consumption; combined with quarterly economic operation, based on the improvement of the energy consumption statistics, to study the establishment of transportation energy reduction index system, monitoring system in Shandong province, study and introduce a batch of transportation energy saving standards, and complete and collate statistics timely and effectively, to provide data support for higher authorities to develop specific energy conservation policies and measures.
Energy-saving and emission reduction in transportation field in China [J] Containerization, 2011, (3):13-15.
"Eleventh Five-Year" comprehensive transportation system of Shanghai constantly improves the effectiveness of energy conservation and emission reduction significantly [J].

Analysis data.
Therefore it was not properly reduced, and the diffractogram data is shown in Table 1.
Based on the R2 value, the data were well fitted with the pseudo-second-order model.
The Experimental data fitting to Langmuir and Freundlich model can be seen in the Figure 10.
Based on the R2 value, the data were well fitted with the pseudo-second-order model.