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The microparticles were prepared by ionotropic gelation method, with a hardening time of 60 min. The optimum condition for process and product variables was evaluated using desirability function.
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The approach is developed on the framework of a thermodynamic formalism that exploits convexity of exergy-like functions and dissipation to derive passivity conditions for process systems.
In this work, an effort has been taken to propose realistic machining conditions for process improvement in micro end milling for C360 Copper alloy material.
The optimum conversion conditions for process are found to be solid liquid ratio of 0.05 g/mL, reaction period of 600 s, reaction temperature of 50 °C and Na2CO3 concentration of 2 M.
Response surface methodology (RSM) is a powerful method to determine optimal operating conditions for processes with a wide variability and different interactions (Ahmadi et al. 2005).
The Taguchi experimental design method is an elegant and efficient way of deriving optimum conditions for processes from the minimum number of experiments.
The appropriate condition for this process occurs when the ring current possesses more particles near the equatorial plane than near the end of the field line.
As a result, a polymer like PVA used as an auxiliary polymer to provide easier condition for electrospinning process.
This is the first report described the influence factors and optimal condition for SSF process for ethanol production from rice husk celluloses at elevated temperature of 43 °C.
One variable-at-a-time experiments are often unreliable, inefficient, time consuming, and may yield false optimum condition for the process.
Using the fitting conditions established for process response at the oscillation frequency under a relay test, the identification algorithm is transparently developed.
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