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To achieve this, the phenomena-based method for process intensification was applied.
A series of LiFePO4 nanoparticles were synthesized via solvothermal method for process parameters optimizing.
This was accomplished through the combined application of the Monte Carlo procedure and a reliable mathematical method for process evaluation.
In the last stage, the phenomena-based method for process intensification was applied to determine more sustainable solutions.
The MSPCA based method essentially captures the fault-symptom correlation, whereas KECA can be an effective method for process fault diagnosis.
Parameter variation demonstrates the capability of this method for process identification by investigating the individual higher harmonics and the respective sum.
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Iterative Feedback Tuning constitutes an attractive control loop tuning method for processes in the absence of an accurate process model.
Iterative Feedback Tuning constitutes an attractive control loop tuning method for processes in the absence of process insight.
Considerable attention was given to high-pressure homogenization (a mechanical disruption technique) that is the most widely used method for process-scale cell disruption [ 18].
In this paper, we apply an advanced safeguards approach and associated methods for process monitoring to a hypothetical nuclear material processing system.
This reduces the choice of methods for process synthesis, mainly to methods based on combinatorial principles.
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