In plasma focus (PF), the thermodynamic parameters such as ion fraction α, effective ionic charge number Z eff , and effective specific heat ratio γ at different temperatures may be calculated by corona model (CM). In the Lee model code, the neon Z eff and γ are stored in subroutines using convenient tables and polynomials derived from the CM (we call this approach approximated CM). In this paper, the thermodynamic parameters of the CM are close fitted to the data, thus replacing the approximate CM data with a more accurate close-fitting CM (CFCM). The comparisons of the Lee model code using the approximated CM and CFCM subroutines are conducted, with the main emphasis on optimum neon soft X-ray (SXR) emission and their properties. The suitable focus pinch temperature window of 200-500 eV is applied to generate the optimum neon SXR yield (Y sxr ). The optimum neon Y sxr is found to be 3.19 and 3.49 J at the optimum pressure P 0 = 3.1 torr with approximated CM and CFCM subroutines, respectively. A high optimum value of SXR yield is obtained using CFCM subroutines in the Lee model, which is nearer to the experimental value compared with the approximated CM subroutines. The use of CFCM in the Lee model contributes to better estimation for further numerical experiment studies and gives confidence that the model is sufficiently realistic in describing the PF dynamics and SXR emission. Index Terms-γ , approximated corona model (approximated CM), close-fitting of corona model (CFCM), corona model (CM), ionic charge number, soft X-ray (SXR), specific heat ratio, Z e f f plasma focus (PF).
Regression technique such as partial correlation analysis has been widely used as tool of prediction in business, finance and biomedical field. However, the application of predictive analysis in chemical process, specifically palm oil refinery process has rarely been done. Therefore, the objective of this paper is to present a quality prediction and diagnosis tool using partial correlation analysis, with the aim to predict the quality of refined palm oil and to diagnose the crude palm oil and process variables. Several statistical analysis are applied in data pre-process to obtain statistical sample size, optimum sampling and processing time of the process. The predictor coefficient is developed using partial correlation analysis while control chart is used to monitor the process behavior of both predicted and actual output value. The monitored out-of-control behavior is then diagnosed using SPE-contribution plot to identify the faulty input variables, thus pre-treatment can be executed before the refining process. The predicted model is successfully developed with MSE value less than 0.01 and three faulty variables are identified.
Some of ion beam properties have been investigated by using Lee model code on plasma focus devices which is operated with nitrogen and helium gases. The operation of plasma focus in different pressure regime gives a consistent ion beam properties which can make the plasma focus a reliable ion beam source .These ion beam properties such as ion beam flux, ion beam fluence, ion beam energy, ion beam current, and beam ion number corresponding to gas pressure have been studied for Mather type plasma focus device. The result shows the differences between helium as lighter gas and nitrogen as heavier gas in term of ion beam properties. The fluence and flux are decrease for nitrogen while increase for helium.
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