Search results

The two contrast curves indicate that the fitting curve’s exponent of experimental data conducted by Matlab toolbox ranges from 0.35 to 0.45, which is meeting to the design value; And the simulation curve is agree well with the experimental curve, but there’s also a certain error between them.
Through the analysis of the basic experimental data, the reasons of the error between numerical and experimental results can be summarized as following: a) The experimental data in smaller than the numerical simulation data in the same working-condition due to the oil leak inside the damper with a high oil pressure; b) There’s a certain measuring error of silicone oil’s natural parameters; c) The numerical simulation model is a ideal model has not taken the viscosity-temperature characteristic of silicone oil into consideration, and there will be a obviously viscosity reduction when there’s a temperature increment[7].

Measurements were taken with a distance of 60 mm between the FBG and transducer, then increased the distance by step of 20 mm and recorded the data for 9 times.
The second group of experiment was: keeping the distance between FBG and transducer constantly for 200mm, changed the position of the transducer with the angles of 10°, 20°, 30°... 90° relative to the optical axis and recorded data respectively.
As for the first group of experiment, nine groups of data are collected while transducer is moved in the axial direction of the fiber.
The relationship between angle and signal intensity Even so, from the testing data and experimental process, it is obvious that the signal is easy to gain when the driving source is in the axial direction of FBG, the testing amplitude in this direction is higher than the radial direction of the fiber.
Thus, effective noise reduction and characteristic signal collection become problems that need to work out in future.

Large Coal Mine Gas Accident Statistics Analysis Statistical method is used to collect data, analyze data and draw conclusions from the data in a number of ways, often divided into descriptive statistics and inference statistics categories [1].
But the incident loss not only include property and personnel loss of enterprise own, but also lead to loss of other social resources, including the reduction of coal resources, water pollution, land degradation, air pollution, social order turbulence , physical and psychological impact outside the company, the government and all sectors of society rescue costs [7].
The data can be reference to Chinese coal mine, so can be identified as the lower limit of the value of life.

According to the geological data of the venue, the upper fill, sand and other loose and soft soil are very thick, especially the depth of the sand layer is even more than 30m.And carrying out the process of forming holes in the loose and soft soil tends to cause hole collapse and hole shrinkage.
Based on design drawings and combined with the geological data of the venue, the maximum depth of drilling hole will be over 25m.Obviously,the drilling hole is very deep, especially piles with bigger pile diameter (such as Φ1400mm Φ1600mm Φ1800mm ).And it is difficult to clear holes.
In order to ensure that the depth of the pile end embedded the breeze rocks length meet design requirements, the pile bearing stratum should be estimated in advance based on a detailed survey of geological data (or ahead of drilling data).
With the reduction of the drilling residue the hole cleaning process can be replaced gradually by more dilute slurry until the final mud weight is controlled within 1.15-1.20.

It was concluded that this method was an approximate way of expressing the state and number of cutting edges present on a grinding wheel with the advantage of generating data in an aerial form (mm-2).
Three-dimensional measurement possesses several advantages over the more commonly accepted profilometry methods, these include the reduction in influence of erroneous features, statistically more meaningful, and the facility to analyse the structural function of the surface.
Spatial parameters such as the density of summits are highly influenced by the measurement strategy which includes the spacing of the data points.
At 18 minutes there is an anomaly in the data as it suddenly spikes and this can be attributed to possible grain fracturing and the exposure of new grains and is supported by a similar trend in the grain sharpness Ssc.
Wolf , Data structures for the topological characterisation of topographic surfaces, 6ème Coll.

Ion beam from side of the specimen allowed the fabrication of a pillar with uniform dimensions (non-tapered, non-filleted), which was favorable for acquiring precise experimental data.
The critical dimensions of the gage length and cross-sectional area were measured by scanning electron microscopy (SEM, S4300SE, Hitachi High Technologies Corp.) operated at 15 kV for the conversion of the load and displacement data to a stress-strain curve.
Tapering of the pillar results a spurious strain hardening and increased apparent yield [13], thus, it should be eliminated to acquire precise data.
Elastic deformation was removed from raw data, and then converted into true plastic strain under the assumption of uniform deformation.
(b) Size reduction of the pillar with irradiation at an incident angle of 45 degree.

In this context, it may not be surprising that the recent attempts to improve the long term creep strength of 9% Cr steels have achieved a certain degree of success [9-11], although further testing data are still needed to confirm that the reduction in creep strength of the new experimental 9% Cr steel would not accelerate at lower testing stresses (long term regime) as the 11-12% Cr ferritic steels did [1, 5, 12].
The least squares fit to those data points yielded Δmt = 0.010t1/2 + 0.040, which gives a parabolic rate constant of 0.010 mg cm-2 h-1/2 for the corresponding oxidation period.
Additional analysis by plotting log Δmt versus log t showed that the data could not be fitted to any power rate law of oxidation.
Extrapolating the data in the Arrhenius plot reported by Taylor et al [13] to 650 °C would give a parabolic rate constant in the order of 10-19 m2/s for the growth of a Cr2O3 scale.

Introduction Natural fiber reinforced polymer composites are becoming more attractive due to several benefits such as reduction in weight and cost, less abrasiveness to equipment and renewability[1].
For bigger the better, SN=-10log(MSD)where MSD QC=B= i=1n(1yi)2/n where MSD is the mean square deviation, y the observation or data and n is the number of tests in a trail.
Temperature A [oC] Speed B [rpm] Time C [min] Fiber Content D [%] Tensile strength [MPa] S/N 1 180 30 11 20 13.620 22.678 2 180 40 13 30 12.320 21.749 3 180 50 15 40 5.890 15.333 4 190 30 13 40 8.940 18.925 5 190 40 15 20 11.257 20.891 6 190 50 11 30 15.433 23.721 7 200 30 15 30 11.710 21.262 8 200 40 11 40 8.437 18.178 9 200 50 13 20 11.557 21.254 From the data in Table 4 the average S/N ratio can be determined.
Average effect factors Factor Level 1 Level 2 Level 3 Temperature A [oC] 19.920 21.179 20.231 Speed B [rpm] 20.955 20.272 20.102 Time C [min] 21.525 20.643 19.162 Content D [%] 21.607 22.244 17.479 Based on the data on Table 6; the S/N response diagram can be plotted as shown in Figs 1-4.
The data in Table 5 are analyzed using ANOVA.

Moreover, DIC measurements deliver full field displacement description, therefore much more data is available for analysis in comparison to the measurements made only in a few points.
The results of the displacement fields measurements may be utilized as the input data to the inverse method algorithms which allow to calculate various materials parameters.
This study presents the investigation of the influence of the size of the area of DIC measurements from which the data points were taken into account in the calculations (fitting area) for the calculated stress intensity factor values and the crack length.
HE processing resulted in the reduction of the cylindrical ingot diameter from 50 to 12 mm in one pass and subsequent decrease in the average grain diameter from 51μm to 130 nm.
Larger plasticity of the microcrystalline sample might also explain lower number of successfully calculated data points in comparison to the submicrocrystalline counterpart even if the images for DIC measurement were collected with higher frequency during microcrystalline sample test.

The strain resistance of alloys at the different temperature-speed conditions is determined by the equation [1]:  ,  (1) where α, n, A – the constants determined from experimental data; Q – the activation energy investigated by analysis of experimental data; Z – the function of Zener–Hollomon parameter:  
The constants of the analytical Eq. 1 A α n Q, kJ/mol 4.6476*1016 0.0033 4.6725 4.363*105 Figure 1 gives data of the deformation behavior of the investigated alloy at given strain rate and temperatures of deformation.
Firstly, the specific roll pressure values are calculated by the following equation [7]:  p=-32ηLL∆h∙3V1-4R2h1h1arctan2hx-h1h1-3Vxm2hx-h14hxh122hx-h1-5Vxm4hxh1-VRhxh122hx-h1+C0,  (4) where hx is a half of the composite plate thickness; h1 is the composite plate thickness; η is the coefficient of the dynamic viscosity; L is the contact length; Δh is the absolute thickness reduction; R is the roller radius; Vxm and V1 are the velocities in the x direction corresponding hx and h1 respectively; C0 is the integral constant determined by boundary condition.
Future work should benefit greatly by using these data.