Search results

In general, the output data of these approaches is related to the temporal and spatial evolution of the microstructure (grain boundaries and size, pores, …), which in turn controls the evolution of the material's properties, while initial microstructure, temperature, kinetic law for diffusion and grain boundary migration, specific interfacial energies and diffusion coefficients are the main input data for the model [3]–[5].
Simulation of the model with data extracted from the literature to represent the evolution of non-conserved phase-field variable η of two particles.
Input data for simulations.
The main goal is to evaluate the impact of these two main input data on microstructural evolution, in terms of grain growth and diffusion, porosity evolution, and time to achieve microstructural equilibrium.
Bates, “Partial molar volumes and size factor data for alloy constituents of stainless steel,” Metall.

The sand was of the quartz type, which underwent a moisture reduction process for 24 hours at a temperature of 105±0.5 ºC.
Voltage readings, both on the specimen (Um) and on the 1 kΩ reference resistor (Uref) were taken using two modules of the model 365F data logger (brand Hantek), connected to a laptop, which were used to calculate the electrical impedance (Z) by Eq. 1, adapted from [22,23].
The results are presented as the mean ± standard error (SE) and the data were analyzed by analysis of variance (ANOVA one-way) followed of Tukey’s Test, where a P<0.05 was considered to indicate a statistically significant difference.
Nevertheless, the reduction observed in this research was only 4.91% in the case of the TA-5-II mix.
Results of the analysis of variance between electrical impedance (Z) data Degree of freedom Sum of Squares Mean Square F* Value Prob>F Model 6 8.67046E8 1.44508E8 3.77537 0.00979 Error 22 8.42082E8 3.82765E7 *F is the ratio between Mean Squares Fig. 9.

The above data were calculated based on the software's background data.
In the usage phase, power consumption while manufacturing the primary tool was determined to be 1920 kW for the machining center and 700 kW for the compact robot as foreground data based on measurements taken by clamp power meter (Yokogawa Electric, CW120) during actual use.
Fig. 4 compares the global warming potential for the mass downsizing and energy reduction effects.
On the other hand, we assumed that the effect of energy reduction during machine use would appear in the usage phase.
This reduction was mainly caused by the carbon dioxide emission from mass downsizing.

The present work is able to explain the first effect, namely the concentration dependent reduction of velocities.
Results are compared to experimental data.
The lines show data trends.
The computed velocities are too high, but it can be expected that the experimental data will be well described by more accurate models ([3] for Al50Ni50, cf.
Binder, for much helpful discussion and for providing data.

The analytical results are compared with the simulation data obtained from Finite Element Analysis, which employs compressible Navier-Stokes equations and heat equation.
The relative pressure and density as a function of initial temperature is displayed in Fig. 4 and shows how the maximum range decreases with increasing initial temperature (Included are also the relative pressure and density points from two additional minor simulations at different initial temperatures): Inlet density reduction arises from decompression due to the centrifugal force as explained in Equations and Boundaries section, and is dependent on the initial temperature and frequency through the a-parameter introduced in Eq. 5.
A reduced initial temperature and increased rotation frequency both indicate an increased centrifugal force, resulting in the reduction of initial density in Eq. 11.
Figure 5 a) Initial density reduction as function of initial temperature (with constant frequency of 3600 rad/s), b) Initial density reduction as function of frequency (with constant initial temperature of 293.15 K).
The initial state is affected by the rotation and the results from the investigation describe the relative reduction as function of the main operational parameters; initial temperature and rotational frequency.

Based on the McKinsey Matrix of Tianjin Industrial Low Carbon Development Research YuHong Yang 1,a,Jingling Bao2,b , Juan Wen3,b, Ran Li 3,b, Wentao Chang3,b 1School of Environmental and Chemical Engineering, Tianjin Polytechnic University, China, 300387 2Tianjin Environmental Protection Bureau, Tianjin, China, 300191 3Tianjin Academy of Environmental Planning, Tianjin, China, 300191 ayuhongyoung@126.com, btjhjzl@163.com Keywords: Industry, Low Carbon Development, McKinsey Matrix Abstract: Promotion of low carbon industry development, reduction of industrial carbon emissions intensity and construction of low carbon characterized industry system are the most important to achieve low carbon development.
Introduction The data of this paper is based on China Energy Statistical Yearbook and Tianjin Statistical Yearbook.
In recent years, comprehensive energy consumption of per unit of GDP and fossil fuel combustion CO2 emissions of per unit of GDP have decreased year by year though optimizing the industrial structure and layout and developing energy conservation and emission reduction.
At the same time, enterprises are encouraged to introduce advanced technology of energy saving and emission reduction, to strengthen utilizing and developing clean energy, which will enhance energy efficiency and decrease CO2 emission.

According to the CAAC office of energy conservation and emissions reduction, energy consumption proportion of CAAC is as follows: airlines 97% (air + ground), airports 2%, air traffic and other civil aviation enterprise or business unit 1%.
Most of the airports pay attention to or focus on energy conservation and emissions reduction in the green construction and operation, and set up a special leading group for it.
Domestic airports in the measurement and the corresponding energy consumption management, motivating rewards and punishment is not perfect, while major foreign airport data are more detailed, almost no waste of energy consumption, and the data will be released to the public.
According to the plan, by 2020, nearly 100 airports in China will be new-built or renovated, Chinese airports have great potential in the green construction and in energy saving and emission reduction.
The plan of energy conservation and emissions reduction for civil aviation industry, Published by CAAC in 2008, confirmed energy consumption per ton-km and carbon dioxide emissions per ton-km by 2015 will be lower 15% than in 2005.

Particle size, polydispersity index (PI), and zeta potential of DNRL were measured by a Zetasizer (model ZetaPALS, Brookhaven Instruments Corporation, USA.) and the data were reported from the average 10 measurements at 25°C.
The flow behaviors of DNRL dispersions were Newtonian for all prepared DNRLs since the shear stress and shear rate relationships were linear at 50-250 rpm (r2 > 0.99) (data were not shown).
EtOH, IpOH, or ACT also affected the protein reduction.
Increasing the concentration of these solvents improved the efficacy of protein reduction.
ACT provided the highest efficacy of protein reduction.

Glass phases account for around 57%, which is conducive to reduction of energy in recycling of the ash.
It was done to provide data for thermal characterization of fly ash.
Content of glass phases reaches around 57%, which is conducive to reduction of energy in recycling of the ash.
Glass phases account for around 57%, which is conducive to reduction of energy in recycling of the ash.

Ten specimens in each batch were tested in order to acquire data.
The UTS reduction of samples with contaminants of 5 layers water, oil and paper was respectively 28.7%, 36.3% and 31.2%.
The Et reduction of samples with contaminants of 5 layer water, oil and paper was respectively 15.0%, 16.7% and 16.7%.
Under the same contamination condition, the reduction of UTS is more than that of Et value compared with the control test.
The flexural E modulus reduction of specimens with contaminants.