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In this study, the best possible performance of MSPD has been achieved using experimental design and ANN modeling.
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Three purposes of research were achieved using experimental methods implemented in the Hydraulics Laboratory of the Department of Civil and Environmental Engineering (JTSL), Faculty of Engineering, Gadjah Mada University UGMM).
The electropolishing (EP) settings for obtaining 304 stainless steel (304SS) with variable surface roughness factors (Ra) in a mixture containing phosphoric acid, sulfuric acid, and glycerol were achieved using experimental design strategies, including the fractional factorial design (FFD) coupled with the response surface methodology (RS M and the path of the steepest ascent.
The definition of tests and their interpretation have been achieved using the experimental design approach.
The overall optimisation has been achieved using a statistical experimental design procedure.
This objective was achieved using mixture experimental design principles.
Performance evaluation of the nanoparticlesin adsorption process was achieved using Taguchi experimental design.
For this purpose, medium optimization was achieved using two experimental designs.
A mono-dispersed nanosilica solution in the polar medium was achieved using optimal experimental condition.
An optimal medium composition, consisted of H2O2, gibberellin, Protamex and Tween-40, was achieved using statistical experimental designs.
The optimization of critical method parameters, such as the SPD reaction, was achieved using statistical experimental design and multivariate data analysis.
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