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A neural network was used to optimize the process parameter.
Finally, the optimization of process parameter and strategies is presented.
Catalyst screening and process parameter investigations were carried out using a representative single capillary.
Failure probability of the proposed design against process parameter variations is analyzed through Monte Carlo analysis.
Taguchi experimental design is used for acorn kernel oil methyl ester production via process parameter optimisation.
The percentage influence of each process parameter on the weld quality was also quantified.
The films are polycrystalline with a certain range of each process parameter.
Finite element analyses are done by the pre-defined process parameter which represents the roller geometry.
Process parameter values (temperature, stirring rate and emulsifier addition) were optimized, improving efficiency to ca. 90%.
Typical air jets dimensions and process parameter values used in glass tempering are evaluated.
The model describes the spreading of axisymmetric droplets considering different material and process parameter configurations.
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