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Experimental data show that the magnetic powder in fly ash and other magnetic minerals possesses greater coercive force and remanence, the necessary conditions for the magnetic powder seal in the ash-unloader.
However, the rotation of the magnetic domain improves with the size reduction.
As such, the data on the manometer will increase when the thickness of the seal layer increases.
The experimental data is shown in Table2.
According to the experimental data and the seal pressure tendency, the seal pressure increased with the increase in the mass fraction of the magnetic material found in the powder.

A shortening of the process chain allows a significant reduction of the manufacturing costs.
This task can be easily performed if a CAD-data of the tool geometry is available.
For the relation between deflection and transverse force following linear approximation was calculated from the experimental data: f(F) = 0.05F - 0.24. (1) Using the results of the elementary Theory of Elasticity it is possible to calculate the deflection of the cantilever under a bending moment M resulting from a given transverse force F applied at its free end.
Along with the classical elastic material parameters, described by Young's Modulus and Poisson's number, further input data for the description of the plastic behavior of the material, like hardening curve and normal anisotropy, must be determined by means of appropriate testing methods.
Main advantage of optical systems for the strain measurement over tactile ones is the possibility to extract usable data up to very high strain values [4].

So it may uncover the nonlinear structure of chatter data, and offer significant information for chatter classification.
Secondly, a SVM scheme for quality classification is provided to classify the chatter data.
For kernel-based PCA, nonlinear principal components comprise nonlinear interactions between the data points.
A comparison of PCA, KPCA and ICA for dimensionality reduction in support vector machine.
Fusion of face and speech data for person identity verification.

The digitized data was used for development of Pro-E model.
Many lightweight materials have been used for vehicle weight reduction.
However, for the vehicle’s primary structure, carbon fiber composites offer the potential of great weight reduction without compromising structural integrity, crash worthiness and secondary processing operations.
The digitized data was used to visualize and develop Pro-E model, which was scaled up to generate CAD drawings for tool development.
Kalmbach, Weight Reduction with Composites, JEC Composites Magazine, 45 (Nov – Dec 2008) 44-45 [2] Z.M.

If machining monitoring function does not work, the system saves vibration data after FFT transfer, and determines whether the transfer result is normal or not with the use of the saved vibration data.
The system is implemented so that four sets of vibration data can be monitored real time, and the vibration data saved in normal condition and the input data can be compared real time.
Machining monitoring condition is set so that the data should be analyzed and compared with normal data with 4 acceleration sensors attached to the side of ultra large deep hole drilling device.
Fig. 10(b) shows the vibration data obtained when ultra large deep hole drilling device header guide is damaged during machining of common rail fuel supply pipe, indicating that the data differs from normal data in 40Hz and 90Hz frequency bandwidth.
The system acquired and stored the initial normal vibration data, and the defects occurring during machining were monitored by comparing the entered vibration data with normal data.

Data collection was conducted on grassed Swale with total length 60 meters.
Data was observed by 81 times and analyzed using the Manning’s equation.
The equipment used to collect the data is as shown in Figure 2.
(i) Current Meter Flow (ii) Levelling instrument (iii) Measuring tape Figure 2: The equipment used to collect data at site study Data Collection Data was collected after the rainfall event.
The data were taken from the field, where selected equipment is used to obtain the required data.

The data so generated will eventually enable us quantifying the resilience figures for the pipe segment system for cases pertaining to variation of flow, inlet temperature and inlet pressure (Case-I, II & III).
System resilience data is estimated from Fig.1 by evaluating the area under the stress-strain curve employing numerical integration technique.
Pipe system resilience data can also be estimated from Fig.2 by evaluating the area under the stress-strain curve employing numerical integration technique.
Pipe system resilience data is estimated from Fig.3 by evaluating the area under the stress-strain curve employing numerical integration technique.
However, analyzing all the available data, the reason for this stress declining phenomena is found to be fairly straight-forward.

The above sorbents to adsorb acetone, 1-butanol, and ethanol for single-component adsorption using adsorption equilibrium apparatus will be conducted and the isotherm data will be obtained.
Earlier studies obtained only equilibrium adsorption isotherm data.
The isotherm data were obtained in this study as well as the development of regression models for the isotherm data.
Fig. 3 Comparison of experimental data and regression curves of the starch sorbent system Zeolite Socony Mobil-5 (ZSM-5).
Fig. 4 Comparison of experimental data and regression curves of the ZSM-5 sorbent system Selectivity of Butanol.

This article proposed that uses the wavelet bag and method of neural network diagnoses the EGO sensor breakdown, analyzes the EGO sensor history failure data and historical normal data through the small-wave-packet analysis law, the extraction frequency band energy feature data for the neural network study, then uses has trained the neural network to treat the diagnosis the feature data to carry on the defect judgment.
Sensor output and Wavelet packet analysis extracted characteristic of oxygen sensor can be entered as BP neural network data, and determine the number of neurons input layer; The outlet has three, respectively is the normal data, the drifting failure data, other unusual operation troubles data, as shown in Fig 2.
Diagnostic criteria: If the first number is closer to 1 in the output vector (deviation less than 1), while the other two number very close to 0, you can for normal data.
Primary data Diagnostic data Characteristic vector Characteristic vector Wavelet packet analysis Neural network structure of restraining Neural network training Neural network analysis Normal，Drift failure， Other non-normal operation failure Discriminant Figure.3.
The super computer mainly realizes the result demonstration, the data preservation and control serial port receive data, transmission control command and other functions.

It results in the reduction of the wafer removal rate, and a pad conditioner or diamond disk must be frequently employed to refresh the pad surface.
It was found from experimental data that the diamonds which were located outside, originally protruded more highly and with crest lines oriented upward wore faster.
It was found that the wafer removal rate reduced gradually with the use of pad conditioner as compared with that of a large reduction when the pad conditioner was not applied during the polishing process [3].
Table 1 Experimental data of worn area Original relative height Outmost annulus （r=20mm） Middle annulus （r=15mm） Innermost annulus （r=10mm） （μm） （μm 2） （μm 2） （μm 2） 240~249 311 x 308 230~239 298 286 234 220~229 245 234 162 210~219 196 186 124 It can be seen that the worn area of the diamonds at the outmost ring is larger than that of the diamonds at the middle and inner annuluses.