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The cast-forged alloy was fabricated by homogenizing an alloy cast with a low pressure at 500 oC for 6 hrs and then by conducting finish forging at an average reduction ratio of 20% at 450 oC.
Data interpretation procedures followed ASTM E399 specifications under a stress intensity factor rate of 1 MPa�m/sec [4].
The hardness, room temperature tensile, and fracture toughness test data are shown Table 1.
� � � � Summary Mechanical properties and fracture toughness of the two cast A356 alloys were measured, and the data were interpreted in relation with the microfracture observation.

In order to know the pattern how the energy consumption per unit area changes with time, we have selected 5 typical office buildings’ data of each month to analysis, see figure 3.
That would assure energy consumption reduction when devices start running.
c) Energy management personnel should record energy consumption data and compare the data from before and after, which is helpful to identify energy consumption differences and to take measures to reduce energy consumption.

Besides, another valuable advantage of using MW was the dramatic reduction in reaction times: from days and hours to minutes and seconds [3,4].
The strength and elongation data was recorded by the microcomputer.
The data was statistically treated by analysis of variance (ANOVA).
According to the data of tensile properties in the first 20 minutes, TS and E both increased as the treatment extended, this effect may be attributed to the decrease of the particle size and the increase of interactions between molecules.

Each part of system hardware through their dedicated DRIVE-CLIQ port interconnection between modules, transfer command and data information to complete the control objective.
According to the performance requirements of the system, we need to choose the appropriate model for the motion controller, the control unit, the driving module, the power module and the data acquisition module. 3.2.1 Motion controller selection.
Have the above data calculation motor torque
Its computation formula is as follows: L --- Frame motion stroke (mm) --- Reduction ratio N --- Motor revolution (r/min) P --- Screw lead (mm) This will do become a closed loop control and can satisfy the prototype to achieve accuracy requirement, its structure diagram as shown in Fig.3 shows.

The data of sap flow rate were stored in RR1008 data collector.
Experimental data were analyzed by spss16.0.
As after the reduction in solar radiation, the sap flow rate showed a trend of decrease, it decreased to less than 1.0 cm/h at 20:30.

Through noise reduction processing and extracting the feature information of interest is the key to gear fault diagnosis, the common used methods is spectrum, cepstrum , neural network and wavelet research is also growing.As mostly all methods need the feature extraction of original signal, the original signal in rich information were lost.
The raw data is firstly converted into a probability box and then probability boxes are fused.
The raw data is firstly converted into a probability box and then probability boxes are fused.
In term of normal gear signal ,fault feature extraction and the original acquisition data,this section respectively discusses corresponding probability box modeling method on three different levels .The model as follows: Fig.1 The flow chart of gear fault modeling method based on probability box theory 4 the Application Prospects of Fault Diagnosis Method of Gear Base on Probability Box Theory In understanding the general gear fault diagnosis method, probability box theory and the practical application of probability box theory , combining with the research work of this paper, the author thinks that still need further research in the following respects: 1) Take maximum advantage of the probability box theory further, that is to say strong inclusive of subjective and objective uncertainty, fusing gear box fault signal measured by different direction sensor. 2) In term of gear fault diagnosis, deepening the probability box modeling methods, exploring the

Thus, based on those researches, according to the measured data of Datong-Qinhuangdao Heavy-haul line, the representative profiles of wheels and rails are selected to establish the three dimensional contact finite element method (FEM) models and dynamic models.
Their wheel profiles datum contain the wheel profiles of each stage which includes the profiles from the standard one to the one worn to the limit.
Five typical wheel profiles are selected from these wheel profiles datum as shown in Figure 1.
From the statistical data in the Table 3, it is known that the value of lateral ride index is improved with the abrasion increase.
According to the calculation results, some conclusions can be drawn as follows: (1) When contacting with the standard rail on straight line, the maximum equivalent stress between the wheel and rail is decreased and then increased with the reduction for the abrasion of wheel profiles.

Some energy-using units have not the relevant equipment of energy statistics, seriously affecting the statistics and accounting of carbon emission data at the park level.
In long-term development strategies of enterprises, put into the low carbon development growth concept, establish detailed activities planning, which include financial goals, quantitative reduction targets and other targets.
The energy low-carbonization development of the industrial park must be supported by advanced information technology to build information databases, included public infrastructure data, socio-economic, energy, greenhouse gas emissions, industrial, technical, environmental, etc., to achieve the construction of public-oriented, highly effective information sharing and information services system.
Industrial park administrative committee should make full use of network, communications and other modern information technology and resources to promote the information exchange and knowledge sharing of low-carbon, achieving statistical analysis and data management [8].

In the current economic conditions, cost planning is closely related with increase in economic efficiency of the whole construction production, which is possible only through an integrated approach to management processes, cost reduction and increase in profits, the relationship between external (market) and internal conditions of production.
To describe the essence of the sectoral theory visualization model it is expedient to consider the following main stages: set-up stage - determining end objective of the modeling, a set that took part in the model of factors and indicators, their role; priori stage - premodeling analysis of the economic essence of the phenomena being studied, formation and formalization of prior information, particularly as relates to the nature and genesis of initial statistical data and random residual components; parameterization stage - modeling as such, i.e. the choice of general view of the model, including the structure and form of input relationships; information stage - collection of the necessary statistical information. i.e. registration of values, involved in the model of factors and indicators at different temporal or spatial functioning cycles of the phenomenon being studied; model identification stage - statistical analysis of the model and, primarily, statistical estimation of the unknown
model parameters; model verification stage- comparison of real and model data, model adequacy check, estimation of model data accuracy.

There is a possibility to measure drilled borehole using borehole inclinometer and according measured data accept a correction to limit the distortion of BHTE system.
The data for model enumeration is to be taken from special inclinometric measuring device, which is in the advanced stage of development.
(This device should provide exact BHTE shape data even if the borehole is already equipped with tubing.)
This only change caused slight reduction of calculated power (1694 W).