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Experiments of process monitor are designed with an injection modeling process, and experimental results illustrate the process understanding ability and online monitoring performance of our proposed method.
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There are five controllable factors (process parameters) and each of them consists of two levels in these experiments of extrusion process initially.
Response surface methodology (RSM) based on central composite rotatable design (CCRD) involving 30 experiments of four process variables at five levels was employed in view of its economical way of obtaining optimal response with fewest number of experiments.
A computational system has been developed to search relevant data, or to predict required process conditions, or to suggest a new set of experiments for process development.
Until now, most time lapse microscopy experiments of bacterial processes ie growth, cell cycle and motility studies have used thin agar pads to provide a substratum that supports growth, starvation or surface motility [5], [12], [15], [16].
We test this model through a free simulation experiment of collaborative process modelers structured around a set of modeling tasks.
By the experiment of the process with disturbances or parameter changes, we confirm the robustness of the controller designed by this method.
For applying the method an open-loop experiment of the process is carried out which serves for (1) initializing the algorithm and (2) determining the two zeros of the proposed PID controller.
Further study on experiments of fed-batch process demonstrated the use of complex, non-differentiable model and produced improved process performances using the optimal feeding profile.
On the basis of the results of experiments, prediction process for residual load of column member subjected to elevated temperature have been proposed.
Based on the FE simulation results, several experiments of hot forging process of the driven NCSB-gear are carried out.
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