Search results

Recently, in spindle motors for hard disk drive (HDD) devices, fluid dynamic bearings (FDB) with herringbone grooves have come to be used instead of ball bearings due to the demand for high density recording of the devices, improvement in the speed of data transfer, and the quietness of the motor.
Introduction In spindle motors for hard disk drive (HDD) devices and polygon mirror motors for laser scanners, fluid dynamic bearings (FDB) of herringbone bearings and three lobe bearings have come to be used instead of conventional ball bearings due to the demand for high density recording of the devices, improvement in the speed of data transfer and the quietness of the motor.
A layer of Cu-Sn alloys is formed on the bearing's surface and a reduction in the coefficient of friction and wear resistant is achieved, because a Cu foil powder is used for the raw material powder.
In the temperature range of less than 0 degree Celsius, the reduction in bearing loss of the 5-lobe bearing clearly clarified the current value as calculated in the results of Fig. 6.

The methodology of measurement of thermal conditions and of the heat output capacity is presented, with an example of data, collected so far.
· Both heat content changes and lateral heat flows are related to temperature gradients in the landfill and the related temperature reductions
The average deposit temperature based on the data processed is 49.9 °C » 50 °C.
Efficient utilization of the heat generated and stored in landfills can contribute to protection of the environment, when the landfill gas is not released the atmosphere, as well as to reduction of the amount of deposited garbage.

Finally, EMS provides a unified data platform for the automatic control system of all energy equipments for data archiving.
The data-acquisition subsystem contains the data standard interface of the industrial control unit which accords with OLE for Process Control (abbreviated OPC) standard, and the real-time data-storage system.
The function of data warehouse and data processing EMS has the capacity of data extraction, cleaning, transformation, integration and load.
After data cleaning, the required data extracting from a real-time database are loaded into a data warehouse according to the predefined data warehouse model.
Based on the time, product and energy medium, the multidimensional data warehouse, energy consumption and index data warehouse are established in EMS.

Second related data and information has to be collected, associated to the objects and archived.
At last, integrating the whole supply chain is necessary to avoid redundant data storage and inconsistencies.
Therefore, efficient data communication between the participants has to be established whereby additional potentials regarding data analysis arise.
Such magnetic stripes are able to save relatively high amounts of data [14].
What in turn is the basis for reduction of energy consumption as complex data as well as correlations can be analyzed and process optimizations are enabled.

That is, we fit to the relevant experimental data, in a least-squares sense, (1) where is photon energy andrepresents absorption coefficients.
For evaluation of Eg, we perform our fit of Eq. (1) to the experimental data shown in Fig. 4.
This results in a reduction in carrier concentration.
The reduction of structure defects implies a decrease of recombination centre of photo-generated carriers, and thus leads to an improved photo-sensitivity.
For R=0.1, we have inferred that hydrogenated InAsSb films did not crystallize from the XRD data (Fig. 1).

In addition, it is of great significance to produce hydrogen from organic wastes by fermentative hydrogen production, because it plays the dual role of waste reduction and energy production[1-3].
Hydrogenases that are able to catalyze the oxidation of hydrogen or the reduction of proton contain one or more [Fe-S] clusters to store and transport electrons [4].
Data shown are representative results of independent tests that were triplicate.
On this figure, the squares represent the data points and the curve represents the corresponding fitting curve.
In this study, the Han-Levenspiel model (Eq.1) was used to fit the average hydrogen production rate data.

It was reported in 2010 that PEM fuel cell can reach ~60% electricity conversion efficiency and 80% energy co-generation (electrical and thermal ) efficiency with more than 90% reduction of carbon and pollution emissions [1].
Within an operating circle of the PEM fuel cell, the diffusion of reactants, the oxidation and reduction of reactants and the conduction of protons, they all take place in the membrane electrode assembly (MEA).
The same step is conducted to obtain the properties of electrode by using the re-modified parameter of nafion membrane as the input data.
The accuracy of the material definition must be verified by experimental data [6].
The stress-strain curve acquired from the model fit the experimental data well as shown in Fig 3.

Introduction Aluminum reduction cell is the main equipment for the aluminum production, and whether it can provide a stable production is directly related to current efficiency, power consumption rate and the of primary aluminum and other technical indicators.
So it is essential in the aluminum electrolysis that the effects of aluminum reduction cell control is good or not.Aluminum electrolysis process is a nonlinear, multivariable time-varying and large delay system for industrial processes because of its own internal complicated physical and chemical changes, and various external conditions of interference determine a number of uncertain parameters during the cell operation process.
The cell resistance deviation x1 and resistance deviation variance ratio x2 getting from the analysis can be regarded as input data to calculate the spacing interval deviation of point feeding as y.
Fig.2The structure of fuzzy neural network The entire network data changes as follows: The first layer is the input layer.
The formulas described as follow: （k=1,2,…n） (2) (j=1,2,…n) (3) The third layer is the fuzzy rule layer, where each node represents a fuzzy rule, which is used to multiply the input data.

The collected data were implemented with data reduction using Graphical Reduction and Analysis SANS Program (GRASP) and analyzed with analysis software (IGOR Analysis Pro 5.04.8).The produced ZnO nanostructure was characterized by powder X-ray diffraction (XRD, Philips, X'pert, Cu Kα).
Log-log plots of SANS data on ZnO powder prepared by solvothermal method at temperature of 150˚C for 18 hours.

Material Specimens The average adhesion value of [N/5sm] The decrease of adhesion [%] Vinyplan 6580 Arctic «dry» 230 3 «soaked» 225 ORCA TECH 289 4588 «dry» 280 18 «soaked» 230 Prolonged soaking of the materials has different influence on the reduction of film adhesion.
However, such statistical data is needed to develop requirements for existing materials and materials under development as well as for estimation of their strength properties.
Table 2 shows data of strength tests of these specimens.
Data of strength tests.
The reduction in strength is about 30% compared to the new materials.