The effects of objective weighting coefficients and bounding values of the design variables on the optimum solution are studied for various cases.
Besides, optimum designs with respect to only size, and both size and shape design variables are also obtained for the example problems to examine the effects of considering different variables on the optimum solution.
Through the response surface plots, the interactions of variables and the optimum level of each variable for maximum response can be well understood.
Through repeated synthesis and characterizations of the LATPs by variation of the values of condition variables, the optimum condition for the best LATP with adequate ionic conductivity applicable to actual lithium batteries are determined to be x = 0.3 or 0.4, a hydrothermal reaction time of 12 h, and calcination and sintering temperatures of 600 °C and 900 °C, respectively.
Because of various disturbances in chemical processes, some distances must be reserved for fluctuations of process variables and the optimum operating point is not on some process constraints.
Followed by sampling, metamodeling and optimization at the first step, the design domain is shrunk by narrowing down the side constraints of the design variables around the optimum points resulted from the previous steps.
Multi response signal to noise ratio (MRSN) was calculated for the response variables and the optimum combination level of factors was obtained simultaneously using Taguchi's parametric design.
The optimization problem has three primary design variables, namely the ratio of the optimum cogeneration engine capacity to the peak power load, the split of the generated power supply between the airport and the groundsource heat pumps, and the natural gas to biogas mixing ratio.
In order to assess the sensitivity of MRI in the diagnosis of sCJD, we developed a set of variables which allowed the optimum discrimination between CJD and controls.
The Taguchi design has been applied to predict the significant contribution of the design variable(s) and the optimum combination of each variable by conducting experiments on a real-time basis.
