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Mathematical models have been formulated to develop a functional relationship between the processing conditions and the process quality characteristics.
These relationships between the processing conditions and structural parameters are further explored through process maps based on Zener Holloman parameter and the Hall Petch relationship.
Artificial neural network technique based data driven models are developed to empirically describe the relationship between the processing conditions and the properties.
This investigation was performed by examining the relationship between the processing conditions and the amount of treated SWCNTs.
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The rod extrudates were the easiest to produce and the relationships between the formulations, the processing conditions and the properties of the extrudates were immediately apparent.
Increasing the efficiency of crystalline silicon solar cells relies on the understanding and optimization of each individual processing step as well as of the interplay between the material properties and the processing conditions.
Deformation imparted through the ECAE process, is studied by modifying the processing conditions and determining the effect of friction between the dies and the billet.
Links are established between the final microstructures, the crystal phases and the processing conditions.
The processing of the structures (extrusion vs. freeze-drying) greatly influenced release properties, explained by the specific interactions between gelatin and polyphenols, thus allowing for tuning the processing conditions depending on the desired target application.
This was not unexpected for the processing conditions employed here.
The processing conditions were optimized using the Box Behnken design.
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