Optimal design, of experiments

Reilly, P.M., R. Bajramovic, G.E. Blau, D.R. Branson, and M.W. Sauerhoff. 1977. Guidelines for the optimal design of experiments to estimate parameters in first order kinetic models. Can. J. Chem. Eng. 55 614-622. 

The kinetic and deactivation models were fitted by non-linear regression analysis against the experimental data using the Modest software, especially designed for the various tasks -simulations, parameter estimation, sensitivity analysis, optimal design of experiments, performance optimization - encountered in mathematical modelling [6], The main interest was to describe the epoxide conversion. The kinetic model could explain the data as can be seen in Fig. 1 and 2, which represent the data sets obtained at 70 °C and 75°C, respectively. The model could also explain the data for hydrogenated alkyltetrahydroanthraquinone. 

F. Pukelsheim, 1993, Optimal Design of Experiments, J. Wiley Sons, New York, U.S.A. 

M.E. Snow, S.B. Crary, The use of simulated annealing in the I-optimal design of experiments, Michigan Academician, 24 (1992) 343. 

Points from the fourth to the Nth are selected so as to have the farthest points compared to all the collected ones. This selection is efficiently carried out using techniques adopted and proven for the optimal design of experiments. 

Nonlinear D-optimal design of experiments for polymer-electrolyte-membrane fuel cells. J. Power Sources, 190,... 

Engineering Analysis of the ELM System. This experimentally verified mathematical model can be used for engineering analysis of the ELM system. The effect of the two dimensionless groups (B and G) on the permeation rate and removal efficiency are discussed below. Such discussion strengthens our understanding of the ELM operations and facilitates determination of the optimal design of experiments for removal of other species by ELM processes. 

The Optimization Xpert Automated design of experiments that builds on the foundation established in Setup Xpert and allows users to further optimize the combination of processing parameters to determine a robust good parts processing window. 

The Production Xpert A comprehensive production monitoring and control system that will maintain the optimized processing conditions determined with MPX s automated design of experiments. 

It is also possible to process copolymer composition data to obtain reactivity ratios for higher order models (e.g. penultimate model or complex participation, etc.). However, composition data have low power in model discrimination (Sections 7.3.1.2 and 7.3.1.3). There has been much published on the subject of the design of experiments for reactivity ratio determination and model discrimination.49 "8 136 137 Attention must be paid to the information that is required the optimal design for obtaining terminal model reactivity ratios may not be ideal for model discrimination.49... 

Sensitivity analysis is a very important tool in analysing the relative importance of the model parameters and in the design of experiments for their optimal determination. In many cases, it is be found that a model may be rather insensitive to a particular parameter value in the region of main interest, and then the parameter obviously does not need to be determined very accurately. 

DESIGN OF EXPERIMENTS COMBINED WITH HIGH-THROUGHPUT EXPERIMENTATION FOR THE OPTIMIZATION OF DeNO CATALYSTS... 

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