Search results

In order to verify the reduction of the vibration, a test rig was set up.
On the test rig, the reduction effect of two different dampers was studied by adjusting the amount of the magnetic fluid.
It was accepted by the data acquisition and transformed by analog-to-digital conversion, then inputted into the connected computer, and then converted into acceleration signal by Matlab[5].

Representative corrosion rate data.
Representative corrosion imbalance data.
Representative pH data Figure 6.
Representative oxidation-reduction potential (ORP) data.
Mass loss data for LPR electrodes.

Computer Simulation of the Shaking Table Tests on Harder Soil-Structure Interaction System Peizhen Lia, Jing Mengb, Peng Zhaoc and Xilin Lud State Key Laboratory of Disaster Reduction in Civil Engineering, Tongji University, Shanghai, 200092, China alipeizh@tongji.edu.cn, bmengjing369@126.com, cpengzhao2007@163.com, dlxlst@tongji.edu.cn Keywords: Soil-Structure Interaction; Shaking Table Test; Layered Soil; Pile; ANSYS.
By comparing the results of the finite element analysis with the data from shaking table tests, the computational model is validated.
Under the sponsorship of National Nature Science Foundation of China, shaking table tests on dynamic soil-structure interaction system have been carried out in State Key Laboratory of Disaster Reduction in Civil Engineering of Tongji University, and now the tests have reached into the 4th stage.
Conclusions By comparing the results of the finite element analysis with the data from shaking table test PS10H, some conclusions could be obtained as follows

Plastic deformation of dies and thermal fatigue are a much less significant reason of die failure according to statistical data.
The comparison with practical data shows the best approximation is observed when the amplitude of stresses is used.
This model agrees with literature data on the gradual reduction of the plastic strain of the dies during the first cycles.
These parameters were defined for steel H13 based on the data of work [10].
Additional experimental research is required to find out data for other tool materials that are essential for the proposed model.

Results show that the method could not only reduce the geometry data volume of point models directly, but also reduce the sampling point number without debasing the numerical precision of the model geometry data, so as to further reduce data volume of point model.
Introduction At present, the 3D model obtained by scanners contains large sampling point set, which leads to unmanageable problems with large amount of data in the data processing procedures.
With the increasing of data size of the obtained sampling point set, the grid operation is becoming more and more difficult.
Therefore, the establishment of multiresolution data structure based directly on sampling point set data in 3D data processing must be considered.
Results show that the method could not only reduce the geometry data volume of point models directly, but also reduce the sampling point number without debasing the numerical precision of the model geometry data, so as to further reduce data volume of point model.

The role of the second phases amount on the microstructural features and on some mechanical data preliminary evaluated was established.
These ameliorations include a dramatic reduction of the matrix grain size (due to the pinning effect exerted by the second phase particles) and improved mechanical properties.
In AZY20, a significant reduction of the alumina grain size can be easily observed.
It should be pointed out that a very preliminary mechanical characterization has been here performed; future work will imply more systematic and complete investigations, in order to state a correlation among microstructural features and mechanical data.

The data at different rotation speed, cyanide concentrations, temperature and oxygen pressure are obtained.
Dissolution involves an electrochemical process in which the anodic reaction is Palladium oxidation while the cathodic reaction is oxygen reduction.
The activation energy data shows the dissolution of palladium involves electrochemical process.
The dissolution mechanism involves an electrochemical process in which the anodic reaction is palladium oxidation while the cathodic reaction is oxygen reduction

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.

The Evaluation of 4PL Enterprise Competitiveness Based on Information Entropy-"eural "etwork Using survey data, the application of information entropy and neural network to the fourth party logistics enterprise competitiveness.
These data in neural network operation, so in this step also are normalized processing.
Based on the above data for isometric method and discrete to 5 levels.
In table 4 for sample data network training.
First of all data on the normalized and input to the enterprise network, the evaluation.