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    MODELLING AND SIMULATION OF A SUBSTRATE THERMOMECHANICAL BEHAVIOR DURING THE PLASMA SPRAYING

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    In our study, a 3D thermal plasma jet was simulated using the ANSYS-CFX code with two turbulence models and for different cases of effective powers. The analysis of the turbulent flow during the thermal jet using the RNG k-ε and SST k-ω models was also presented. The velocity and temperature profiles at the nozzle outlet were deduced from the literature and used as inlet boundary conditions. The results obtained from the two turbulence models show that the RNG k-ε model with different effective powers (790 W; 1050 W; 1350 W and 1780 W) is in good agreement with the experimental results. The RNG k-ε model gave results closer to the experiment than the results obtained from the SST k-ω model. It can also be concluded that when increasing the power supplied to the gas used, the temperature increases and it is maximum in the central axis. In the second step, the flow analyzed by the RNG k-ε model generated the initial conditions for the unsteady flow. Transient simulations for the 2D plasma jet are performed to obtain the velocity and temperature fields and also to obtain the temperature distribution in the substrate for the different time values. The transient simulations in the substrate for the different time values have also been studied. The results showed that the variation of the temperature of the plasma jet is always insignificant near the substrate for any value of time (flat curves) this says that the maximum of the temperatures obtained at the level of the substrate in the axial direction (Z axis) are maximum at the interface between the flow and the substrate (i.e. the contact surface at the centerline), and the maximum of the temperatures obtained at the substrate in the radial direction (y-axis) are maximum at the center of the substrate (i.e. x=0 and y= 0)

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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