Search results

The nameplate data method According to the nameplate data, the efficiency is analyzed and calculated with losses analysis method.
(In the equations, the stands for nameplate data, and the stands for measuring values
This part is composed of resistance measurement, temperature measurement, power analysis and data processing.
In addition, data processing is composed of two industry control computer and associated software, in which the storage of measurement data, the analysis of measurement results and the automatic producing and printing are accomplished. 5.
The energy efficiency testing is based on Nameplate data method.

Finally, Gleeble specimens were subjected to hardness tests to compare FE prediction of hardness with experimental data.
The available data set has been divided into three parts: training, validation and testing data.
The ANN model has been trained using 80% of the total data randomly selected, while the remaining data 10% has been used for validation and the other 10% for testing.
A measurement of how well neural network has fit the data is the regression analysis and the error histogram.
The blue bars represent training data, the green bars represent validation data, and the red bars represent testing data.

Automation can introduce cost reduction minimizing production times on such manual finishing operations.
Automation can introduce cost reduction minimizing production times on such manual finishing operations, which mostly includes the methods of industrial robot and NC machine.
Marquez et al. [3] developed an automatic planning and programming system based on data from a CAD system for a robotic polishing cell for mold manufacturing.
So an automatic robotic path planning method based on CAD/CAM datum is developed in this paper.
In the commercial CAD/CAM software system, such as UG NX, the multi-axis (max 5 axis) NC milling programs can usually be generated according to the CAD datum.

To solve the hard problem that the reduction of heat transfer efficiency on the cooling stave of blast furnace due to fouling deposition, solid particles have been added into the cooling water pipes, forming liquid-solid two-phase flow, which can change the heat transfer and anti-fouling capacities of the cooling water pipes.
Schematic diagram of experimental apparatus system is showed in Figure 1. 1 cooling fluid collection tank; 2 cooling fluid outlet; 3 cooling pipe; 4 casing pipe; 5 steam inlet; 6; thermocouples; 7 data collection equipment; 8 computer; 9 funnel; 10 valve; 11 rotor flow meter; 12 valve; 13 circulating water pump; 14 filtration net; 15 tank for CaCO3 fluid; 16 mixing equipment; 17 cooling water system; 18 filtration tank; 19 filtration net Fig 1 Schematic of diagram of experimental device system Experimental component size: The water pipe is φ34×2×1000mm the seamless steel pipe, the casing pipe is φ48×3×1000mm seamless steel pipe.
When experiment state is stable, the data is collected by the computer automatically.
On the one hand, the particle near pipe wall can slip in advance, which can strengthen the shearing effect on fouling surface and make the fouling thickness reduction.

Data collection is composed of non-contact laser scanner Comet300 scan.
Point cloud data preprocessing in the integration of point clouds, noise, filter, grid and other functions of the software platform in.
Fig 1 The heights of tractor reverse design Fig 2 Tractor wheel cover of cloud data Point cloud data acquisition and preprocessing Experiment data acquisition is the first step of reverse engineering modeling, it is to use certain experimental device for physical measurements to obtain the real surface data.
This experiment is to use laser non-contact 3D measurement part surface data, is based on the structure light COMAT300 non contact coordinate scanning system with high resolution high speed scanning object surface [2]. 2.1 Point cloud data merging Scanning high of wheeled tractor wheel cover, due to wheel cover original size is bigger, need several scanning, so with the use of software automatic registration system, with the help of shot from multi-view cloud reference point coordinate position, and then use these reference points to establish the corresponding relationship between the point cloud, the system comes with software in the automatic registration of point cloud. 2.2 Point cloud noise reduction filter Because of our incoming data to be brought into noise, especially near the borders and corners are relatively obvious, the laser scanning the obtained mass data, it will seriously affect the surface reconstruction speed and precision, so must the point cloud data preprocessing
We should first remove while scanning scanning parts except the extra point, add missing the point, eliminate the error of measurement ( digital filter, mean filter ), removing data stitch overlapping redundant data, in ensure the existence of retention characteristics under the premise of point cloud, filtering and so on, after preprocessing the rear wheel cover of cloud data, as shown in figure 2.

Empirical analysis Variable selection and data processing.
The statistical data of this article is from 1994 to 2010 China Statistical Yearbook.
To ensure the accuracy of the data, the GDP standard is billion, and transforming GDP data into constant price data.
Co-integration tests and error correction model About the co-integration test, this article will adopt the method of two-step E - G for data analysis.
In the model, GDP and E is endogenous variables, using Eviews6.0 to analyze data, the estimated results of VAR model is shown as Eq. 4, (Eq. 4) ,, F-statistic=3131.584, AIC is 18.00724, and SC is 18.24325.

Another data that we can use that data is the elasticity of the material.
The other data is we got the highest elasticity value at 2.71 MPa.
The other data is we got the highest elasticity value at 2.97 MPa.
The other data is we got the highest elasticity value at 3.17 MPa.
Here, is the comparison between 2 data: Graph 11.

It is requisite to acquire image data of disaster area in the shortest time and master the situation of disaster in order to minimize the loss.
Image pyramid structure that is used for image coding and gradually proceeding is a typical hierarchical data structure form.
The more the layers are built, the more easier to search, certainly the greater the data redundancy is.
The satellite image data on lots of cities provided by Google Maps can be reached the accuracy within 1 meter.
It is the core parameter used for coordinate mapping, map displaying and maps serving when publishing the raster data.

Data of ARMA model must be stable.
Data of forecast model compared with the original data shown in Fig. 2.
In addition, small amount of data requires by GM model, and in not obvious periodic data it has higher predictive power.
While the MA model requires a relatively large amount of initial data, and in this case the amount of data has just reached its initial basic requirements.
After that I want to increase the amount of data in the case of the full amount of data, re-examine the comparative performance of the two models predict.

Iannuzzi[7-9] had used the split cell technique, EIS, polarization curves, and adsorption isotherms methods to study the mechanisms of corrosion inhibition of AA2024-T3 by vanadates, and find that the clear metavanadate solutions(contain monovanadate (V1), divanadate (V2), tetravanadate (V4) and pentavanadate (V5) species [10-12]) were shown to be good inhibitors of the oxygen reduction reaction(ORR) by adsorbing on the surface and blocking sites rather than by a reduction process, and the main corrosion inhibition composition is metavanadate(V1) .
It may because that the adsorption activation energy of SO was significantly lower than the activation energy of oxidation-reduction reaction which sodium vanadate participates in.
The second is that the oxidation-reduction reaction which sodium vanadate participates in is increased with the increase of the temperature.
Data 40 (1995) 1276-1280