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Though implicit schemes are unconditionally stable as compared to explicit time integration method, the reduction in the cell size as a result of the grid refinement to capture the flow physics imposes severe numerical limitation on the allowable global timestep, which can be represented as the maximum allowable CFL number.
Pitch-up movement Pitch-down movement Fig. 3 Adapted grid and Mach number variation in the domain Comparison of the variation in lift and moment coefficients during pitching motion as shown in Fig. 4 show a good agreement with the experimental data.
The numerical accuracy of the current scheme is demonstrated by comparison with the available experimental data and with the solutions using a pre-existing Mid-point scheme.

To investigate the forming accuracy, formed part was measured by a three-dimensional sensing system and the surface of the formed parts was constructed based on the measured data.
At 150℃ and 160℃, exhibit similar values when forming pressures are lower than 0.04MPa, indicating that these thickness deviations at contract areas were significantly induced by the conventional thickness reduction during the shaping stage but not by dimpling.
For characterizing the dimples of dimpling mode 2, the profiles on the diagonal sections of formed parts were regenerated from three-dimensional data measured by a three-dimensional sensing system, and were compared with the profile of desired shape, as shown in Fig. 5.

The results are used as input data for the production planning and control (e.g. to create work plans or to allocate jobs to machines).
The focus was laid on the consistency of the data collected and the validity of the simulation model.
Regarding the validation of the simulation model, separate parts were checked isolated for validity using real production data from the MRO company.
Conclusively, the entire simulation model was validated by a comparison of the simulation results, such as cycle times, with real production data.
Nyhuis, Validation of data fusion as a method for forecasting the regeneration workload for complex capital goods, J.

Unfortunately the data are classified and quite sensitive.
Before presenting the results here data were de-sensitised and the results correspond with the reality in modified way.
Real data were recorded while performing live experiments.
The FPT distribution was modelled based on the real test data and above mentioned principles.
Chapman, Modelling Task Completion Data with Inverse Gaussian Mixtures.

The results were compared with empirical rules and experimental data and are used to estimate the mean 3-D dihedral angle.
The corresponding growth rate exponents are obtained by fitting a power law through the simulated data as a function of time.
The 2-D cross-sectional data from this experiment were used by Liu et al. [7] to reconstruct a 3-D microstructure employing a forwardtransformation method.
A Weibull distribution with shape factor 4.22 describes the 3-D reconstructed data best, which is in good agreement with the simulation results.
For comparison, experimental data obtained for a 78 wt% W alloy [7, 8] is added.

The model is represented in Equation (5): (5) The modified model displayed a mean deviation of 5.5% from the experimental data of nanorefrigerants.
Experimental data was used to determine the function f(∅,T) and β that relate to particle motion.
This gave an accuracy of 2% with the experimental data, which is a significant improvement when compared to the exponential function.
The prediction from the correlation was 92% in agreement with the experimental data within the deviation of ±15%.
Therefore, further experimental analysis of nanorefrigerants viscosity is needed to obtain data that will be useful in developing models that will accurately predict the viscosity of nanorefrigerants.

A survey on these connections was conducted, and pertinent data for copper are listed in Table 1.
The shift of hardening stage due to grain size reduction A number of previous works have reported that grain size reduction to certain levels tends to result in changes of hardening mode at the onset of plastic deformation.
A brief data summery showing the grain size effect on the initial hardening rate of Cu is given in Table 2, from which several observations can be made.
(3) Using the ρi-j data for copper as an example, the Wi-j can be easily evaluated by substituting 2.56×10 -10 m for b, and 48.3×10 9 N/m 2 for μ in Eq. 3, yielding )(1058.1)/( 2 9 3 − − − − ×= m mJW ji ji ρ
Because copper is a simple single-phase system and whose data is thought to be the most representative for plastic deformation mechanisms.

The origin for the formation of these hierarchical urchin-like clusters may be related to the intrinsic anisotropy growth of In2S3 from component ions in InCl3 aqueous solution/molten thiourea, the interaction of hydrogen bonds, as well as the reduction in surface energy.
The optical absorption data were analyzed using the following equation in order to determine the band gap energies of direct band gap semiconductors [7]: αһν = B(һν – Eg)1/2 where α is the absorption coefficient, һν is the discrete photon energy, B is a constant relative to the material, and Eg is the absorption band gap.

The interaction between the various components of odor pollutants may have a role in stacking or reduction [1].
Experiments’ results find that the test data and the gradation divide 窗体顶端 Corresponding to each other basically窗体底端, but the fifth set of experimental results has a large biased errors, because of the different olfactory sensitivities of panelists to the different characteristic samples.

The temperature dependence of MCE in the vicinity of the Curie temperature with a maximum of the λ-type points to the existence of the phase transition of the second type, which correlates well with the magnetic data.
At x = (0.1-0.125) the Curie temperature has a maximum and the further decrease in Co content leads to a sharp reduction of the magnetic ordering temperature.