Sentence examples for application of statistical design from inspiring English sources
This paper is an outcome of the application of statistical design of experiments to the process of selective laser sintering (SLS) on low carbon steel powder using pulsed Nd YAG laser of max.
The application of statistical design using RSM for the adsorption of Cr VI) and phenol from a binary mixture reduces the time and overall cost, and improved the efficiency of the process.
The development and combined application of methods of statistical design of experiments, nonlinear time series analysis and finite element analysis yields insight into the dominant effects.
The sample preparation procedure for MALDI-TOF MS of polymers is addressed in this study by the application of a statistical Design of Experiments (DoE).
The main objective of this work was to optimise the production of a plastic automobile door plastic cover using computer simulation and the application of statistical experimental design.
The present study describes the application of statistical experimental design to the optimization of enantioselective separations of peptides in capillary electrophoresis in order to obtain optimal operating conditions for routine work.
A combined application of statistical molecular design (SMD), quantitative structure activity relationship (QSAR) modeling and prediction of new active compounds was effectively used to develop salicylidene acylhydrazides as inhibitors of type III secretion (T3S) in the Gram-negative pathogen Yersinia pseudotuberculosis.
The application of statistical experimental design techniques in the fermentation process development can thus result in improvement of product yield and reduce process variability.
The application of statistical experimental design techniques in adsorption process development can result in improved product yields, reduced process variability, and reduced development time and overall costs[38].
The application of statistical experimental design in phytosterols extraction developed closer conformance of the process output or response to target requirements and reduced process cost, development time and variability.
Further, the application of statistical experimental design techniques in fermentation process development can result in the improvement of product yield, reduce process variability, give a closer confirmation of the output response to nominal, and reduce overall costs (Pansuriya and Singhal 2010).
