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Introduction Constantly increasing demands on quality of products require further reduction or elimination of defects in manufacturing.
The maximum change in length ΔL of the strain gauge has been calculated according to (1), (2), (3), (4): (1) The stain ε and the initial length l0 are given in the data sheet of the strain gauge.
In the table 2 the maximum load data of the developed clamping system are displayed [7].
The raw data are shown the next graph.

And the cause of vibration is founded through studying data acquired from experiments.
The measuring data indicate that the eigenfrequency of joint shaft is 290Hz, grinding carriage about 135Hz - 150Hz, workbench about 150Hz - 170Hz.
Reduction of decentration of grinding wheel spindle.
In terms of data of Table 2, the acceleration and displacement of grinder with grinding wheel are both bigger than without wheel.

Recently, the hydrogenated amorphous silicon (a-Si:H) device is used in the LCD because of good uniformity, lots of ease of a fabrication and cost reduction.
To analyze the experimental data, we use the carrier trapping noise model with correlated mobility fluctuations.
Results and Discussion From Eq. 1, SVfb can be extracted by fitting and Fig. 2 shows the best fitting data.
The obtained density of tail states as a function of energy is shown in the Fig. 3(b) (dotted data).

The data acquisition system records the signals from four T-type thermocouples, located at inlets and outlets of MCHE, and the differential pressure transducer between the inlet and outlet chambers in the cold side.
Data reduction The actual effectiveness of the MCHE in the single- and two-phase regions is analyzed below.
Under the conditions of single-phase liquid methanol flow in the cold side, good agreement between experimental data and numerical predictions are demonstrated.

At the same time, because the specimen size is smaller, the test temperature changed rapidly, the accuracy of test data obtained will be affected.
Processed test data collected according to the relevant calculation formula of indirect tensile test, obtain the corresponding index value, see Table 1.
Table 1 Low temperature performance index of basalt fiber asphalt concrete Fiber length （mm） Basalt fiber content （%） Failure strength（MPa） Vertical deformation （mm） Failure stiffness （MPa） Failure strain (με) 0 0 3.52 1.03 1941.82 3119.73 6 0.12 3.57 1.29 1572.47 3907.23 0.15 3.64 1.43 1446.34 4331.27 0.17 3.60 1.35 1515.21 4088.96 Figure 1 -10˚C, Failure strength variation Figure 2 -10˚C, Splitting stiffness modulus variation Figure 3 -10˚C, Indirect tensile failure strain variation From the data in Table 1, it can be seen that splitting failure strength（RT）changes little, compared with without fiber ,the asphalt concrete with fiber  maximum splitting failure strength（RT） only increased by 6.53%.From the trends in Figure 1, it can be seen that the asphalt concrete mixed fiber is greater than without fiber on splitting failure strength（RT）as a whole.
The details are as follows: 1.The maximum increased value of basalt fiber to asphalt concrete low temperature damage intensity is 3.41%. 2.The maximum reduction value of basalt fiber to asphalt concrete low temperature damage stiffness is 25.52%. 3.The maximum increased value of basalt fiber to asphalt concrete low temperature failure strainis is 38.83%. 4.For low temperature performance, the optimum amount of value about 6mm basalt fiber is 0.15%.

The data such as the voltage range and the width of electrode were inserted into the system via its software.
Therefore, the stress reduction mechanism was employed by refining the sp3 bonding to sp2 bonding during the deposition in nature (P.N Vishwakarma et al, 2005) [6,8].
First of all, there are two different range of current density of DLC thin films were presented in the log data plot.
Film thickness measurement provide a qualitative data which compatible to result, growth of DLC thin films in this optimum substrate temperature was presented while the issues of previous thickness analysis was affirmative.

Table 1 The Recognition Rate of Target Orientation Experiments The Serial Number The Recognition Rate of Group 1 The Recognition Rate of Group 2 0 78.31% 98.70% 1 61.64% 85.07% 2 50.00% 52.27% 3 55.26% 65.28% 4 52.08% 68.92% 5 68.09% 70.31% 6 67.86% 86.30% 7 62.32% 70.15% 8 46.77% 55.00% 9 54.81% 68.85% 10 51.19% 61.02% 11 81.55% 90.77% AVERAGE 60.82% 72.72% Table 2 The Time-Interval of Target Orientation Experiments The Serial Number The Time-Interval of Group 1 (s) The Time-Interval of Group 2 (s) 0 2.92 1.76 1 4.53 2.32 2 6.25 4.03 3 4.86 3.10 4 6.09 3.45 5 4.11 3.82 6 3.27 2.76 7 4.26 3.26 8 5.67 3.79 9 4.21 2.75 10 4.90 3.28 11 3.23 2.12 AVERAGE 4.53 3.04 After identifying the location of the vibrating tactor which represents the direction information of the target, the subject choose the direction by a single left click of the mouse on the software interface of target orientation experiment and the related data was recorded by the software.
The data of Table 1 and Table 2 is average recognition rate and time-interval of the appointed tactor.
After detailed comparison of the data of two sets of comparative experiments, it is found that the accuracy and speed of Group 2 is significantly higher than Group 1 in the same experiments due to the subjects’ proficiency.
The average promotion of the recognition rate is more than 10 percentage while the average reduction in the interval is about 1.5 seconds.

SMED (single minute exchange of dies) - a changeover reduction technique.
Fig. 1: Production line at sub-assembly 1 and 5 Based on the cluster of volume production, the data is collected for machine capacity at assembly in three months commenced from January until March.
Fig. 2: Machine capacity processes From the layout machine and data gathered, machine number WSS 502, 103, 107, and 112 is identified to be operated with two processes.
The data is tabulated in Table 1 with details parts process involved.

The following are the parameters which have been analyzed base on data taken during the process.
The following data presented by the table configures the cycle time of both process.
The data is taken by stopwatch after considering the normal operator rating factor (RF) and 20% tolerance time.
Auto pour reduces the rejection rate from 11.56 % to 6.59 % or equivalent to 43% reduction in damage products.

For crack closure measurements, the compliance method as initially proposed by Elber [2] is used as described in [3] with numerical data acquisition and processing.
Results The Fig. 1 compares the crack propagation data in the three studied environments, air, high vacuum and 4 bar hydrogen, with the da/dN vs DK diagram in Fig.1a and da/dN vs DKeff diagram in Fig.1b.
The data obtained in hydrogen environment let appear two different regimes; for DK lower than 14 MPaÖm (i.e.
This assisted stage II in air has been attributed to an effect the atmospheric water vapor, H2O molecules being adsorbed on the freshly created surfaces [5, 6], with accelerated da/dN due to a reduction of the energy required to create a new surface, and to an additional effect of hydrogen resulting from the dissociation of H2O molecules.