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Slight reduction in density were observed across all T1 as the Y-TZP content increases up to 10 vol%.
Above 10 vol% Y-TZP content, the sharp decrease in HV might be effects of significant reduction in density.
The reduction of HV in the alumina-Y-TZP composite could also be the effect of porosity formation which caused reduction in density hence leading to reduction in HV.
Furthermore, according to Eq.2, the Young’s modulus is directly proportional to density hence reduction in density would lead to reduction in Young’s modulus of the composite.
According to previous literature data [13,15], the most ideal amount of ZrO2 content is found to be 10 vol% hence these finding are in agreement with previous literature.

With potassium ferricyanide as the probe, electrochemical properties of this sensor were characterized via electrochemical impedance spectroscopy(EIS) and measured EIS data were fitted with an equivalent circuit to investigate the detailed information about the electrode/solution interface.
Comparing the data obtained, it can be concluded that the L-Ser/CS-GCE presented the lowest Rct in the interface and concomitant higher Cdl, reflecting an improvement of the effective electron transfer rate.
At bare GCE, PA showed a weak oxidation current peak at 0.49V and a reduction peak at 0.01V.
A pair of large oxidation and corresponding reduction peaks are observed at 0.72V and 0V on the L-Ser-GCE.
A oxidation peak at 0.71V and a reduction peak at -0.14V were observed at the CS/GCE.

The obtained data show that the increase in milling time leads the increasing in lattice strain and decreasing in crystallite size.
According to data presented in Tables 1, and Fig.4 with increasing of milling time, the crystallite size decreases and lattice strain increases.
Here, with increasing milling time, the reduction of particle size occurs while the shape of product is flake like.
Here with increasing milling time, the reduction of particle size occurs similar to R1 sample but the shape of the production will be irregular.
According to the TEM micrographs, with increasing milling time to 60hr, the reduction of crystallite size occurs for R1 reaction and the shape of product looks like a rod.

Experimental data were used to estimate the diffusion coefficient.
Works reported in the literature also showed a reduction in the effective drying time when a tempering period was used [17,18].
The theoretical solution was fitted to the experimental data set for a suitable choice of diffusion coefficient in each continuous drying period.
The data of the dimensionlessaverage moisture contents are joined along the straight line, which shows the suitability of the model to describe the rice drying behavior.
The comparison between the experimental and predicted data confirms the validity of the model and the GBI method to obtain solution of the diffusion equation.

The adsorption equilibrium data for NO and SO2 were fitted to Freundlich, Dubinin-Radushkevich (D-R) and Sips adsorption isotherm model.
The reduction of NO emission takes place conventionally through Selective catalytic reduction (SCR), Selective non-catalytic reduction (SNCR), Catalytic decomposition, adsorption, etc.
Adsorption equilibrium data of NO and SO2 were obtained using a static volumetric method [6].
The adsorption data were fitted to Freundlich, D-R [7] and Sips [8] isotherm model, respectively.
In this paper the adsorption equilibrium data of NO and SO2 were fitted to Freundlich, D-R and Sips isotherm model.

The objective of the ALM/USAMP Ultra-Large Casting (ULC) project is to assess the manufacturing feasibility, economics and mass reduction potential of large, thin-wall structural castings of aluminum and magnesium as applied to automotive weight reduction.
These detailed data will serve as input to predictive models that will link the as-cast structure to the mechanical response of the material.
In addition, in-field data is being collected from casting suppliers on die pin wear and degradation.
Pelton and colleagues are working on the calculation of phase equilibria and alloy phase diagrams using a Mg thermodynamic data base (FACTSage).
Data were obtained from the literature and directly from organizations around the world involved in each of the processes.

For example, single crystalline sheets of Ni3Al can be cold rolled to more than 99% reduction in thickness when the rolling direction (RD) is close to <100> [3].
Such irregular rolling deformation makes further reduction difficult.
The orthogonal components, , , and , were given from the widening and reduction of the rolled sheet and determined from the constant volume condition, respectively.
Among the three slip systems, the magnitude decreases in the order of a3, b1, and d1 until 30% reduction.
Zaoui, Multislip in f.c.c. crystals a theoretical approach compared with experimental data, Acta Metall. 30 (1982) 1627–1637

Jiang Jinhe (2011) proposed carbon emission measuring methods of different levels according to different energy consumption characteristics and available statistical data of the national, regional, industry.
The top-down way is more suitable for the level of country or region, while for the industrial park, the fuel consumption data are difficult to statistics; so many scholars adopted the bottom-up approach.
This paper using Hierarchical cluster process to analyze the carbon emissions condition of 36 parks,.In the case of complete data, clustering results can reflect the relative position and gap of 36 parks in carbon reduction, so as to specify the direction of further carbon emissions reduction of the industrial parks.
But there lack the data of carbon emissions intensity of buildings, traffic carbon emissions intensity and carbon sink, at present there are no relevant statistical data on this aspect, or it is not complete.
It is imperative to construct the system of building carbon reduction, traffic carbon reduction and carbon sink.

Calculation parameters of orthotropic slab analogue method The flexural rigidity of concrete cellular slab is slightly less than the same thickness of solid slab and λ is defined stiffness reduction factor as ratio of stiffness from concrete cellular slab to solid slab.
Because different of cross-sectional shapes in both direction and concrete cellular slab appeared anisotropy, the stiffness reduction factors of cross sections in both direction are different. 1) Stiffness reduction factor λx in direction of parallel to hollow tubes (1) Where: Bx=EcIx, B=EcI, Ix and I are moment of inertia in unit width of concrete cellular slab and solid slab in x-axis direction respectively.
According to classical definition of beam stiffness, Chaoyang Zhou[5] puts forward a kinds of method which can calculate equivalent bending stiffness for concrete cellular slab in direction of vertical to hollow tubes and gives reduction factor table of corresponding slab stiffness that shown as in Tab.1.
(15) The equilibrium differential equation of concrete cellular slab is (16) Where: , it is bending rigidity of isotropic thin slab, , it is stiffness reduction factor of concrete cellular slab.
Tab.2 The mid-span deflection coefficients f’ （×10-3） tw/d d/h 0.45 0.50 0.55 0.60 0.65 0.70 0.75 0.15 0.20 0.25 0.30 0.35 0.40 0.45 0.50 4.300 4.287 4.275 4.265 4.256 4.248 4.241 4.235 4.419 4.400 4.384 4.370 4.358 4.347 4.337 4.328 4.582 4.557 4.535 4.516 4.500 4.484 4.470 4.458 4.804 4.771 4.741 4.715 4.692 4.672 4.654 4.637 5.106 5.061 5.022 4.987 4.956 4.929 4.904 4.882 5.519 5.459 5.406 5.359 5.317 5.280 5.246 5.216 6.090 6.007 5.935 5.870 5.813 5.762 5.716 5.675 According to geometry sizes, it can be obtained that tw/d＝110/140=0.272 7 d/h＝110/140=0.687 5 The deflection coefficient at midpoint of cellular slab is 5.290×10-3 from Tab.3 and then takes this data into equation (20), the calculated deflection at midpoint of cellular slab is 0.2235mm.

If more machines are integrated in to the one system, their production is synchronized and material flow is fast. [1] Most important effects which are coming from flexible production are: · Manufacturing process time reduction · Working out manufacture reduction · Stocks reduction · Manufacturing costs reduction · Rigid reaction ability to the market requirements · Higher machine usage · Redistributing times reduction · Quality increase · Reduction the Material and manufacturing documentation circulation · Stock material volume reduction · Manufacturing space reduction Intelligent manufacturing systems Automation process is basic condition for manufacture intensification and flexible reaction to the customer requirements.
Such self control function will also ensure constant optimization based on actual data coming from system surrounding.