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The modeling and simulation of laser surface processing enables the prediction of the process response at certain levels of input and control parameters.
Product 80% passing size (d80) was defined as process response.
Sarbanes-Oxley is viewed by those who don't like it as a process response to a values issue.
The Gaussian process response surface method is presently adopted to determine the probability of failure.
The specific surface areas of the activated samples were chosen for the selected process response.
The simulation results show that the conventional fuzzy logic controller produces oscillations in the process response.
Selected process response was the fractional conversion rate of NaOH (XA).
A regression model was also developed and validated, to foresee the process response.
The process response can be optimized by the selection of the appropriate levels of input parameters.
The simulation results suggest that the conventional fuzzy logic controller produces oscillations in the process response.
The results show that the laser variables significantly influence the process response.
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