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An overview of isotope pattern simulation is given in [36].
The flow pattern simulation is able to locate potential corrosion occurrence in pipelines by identifying the sites for water accumulation.
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Image and diffraction pattern simulations are based on data provided by Wang et al. [27].
The conditions for pattern simulations are exactly the same as those in Fig. 3.
The conditions for pattern simulations are exactly the same as those in Fig. 3 Figure 7 Pattern self-organization and transition with τ value ranging in ([4.272, 4.277]).
The conditions for pattern simulations are exactly the same as those in Fig. 3 Figure 8 Pattern transition with the variation of τ covering ([4.2734, 4.2739]).
Furthermore, parametric conditions for pattern simulations are given the same as those in Fig. 1, and the value of parameter τ ranges in ([2.8, 4.6]).
In order to investigate the pattern transition in the range ([2.8, 4.6]), the range is divided into 50 segments and pattern simulations are carried out at each segmentation point.
The conditions for pattern simulations are exactly the same as those in Fig. 3 Figure 9 Graphs of (a) MVN, (b) MSN, and (c) IEN corresponding to Fig. 7.
At first, two phase flow pattern in the simulation is compared with the experiments and numerical method is employed correctly.
Even though simulation studies have many opportunities and advantages, there are also limitations, and although behaviour patterns in simulation are similar to those in real-life situations, the transfer of knowledge from the simulator to real-patient situations has not been clearly confirmed [ 61].
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