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This paper presents a hybrid optimization method for optimizing the process parameters during plastic injection molding (PIM).
In our study, an optimal gradient composite film has been deposited on the NiTi alloys by optimizing the process parameters for implantation and deposition.
The study helps optimizing the process of carbon nanofibers growth.
The interface allows optimizing the process of activation analysis by revealing dominant sources of radiation.
This has been obtained by optimizing the process and device architecture.
The established models are used for optimizing the process parameters using genetic algorithm (GA).
The maximum load and the energy needed for the ring production are considered as main figures for optimizing the process.
This study aimed the encapsulation of coffee oil flavor and optimizing the process conditions which affect the encapsulation efficiency (EE).
The process parameters like metal temperature, fill velocity and filling time are considered for optimizing the process.
Further investigations were aimed at optimizing the process and increasing the number of workpieces processed in a single lot.
Optimizing the process layout together with the membrane properties a two stage process is the best process configuration.
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