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125 limited. Therefore, evaluating the size of the turbine is also important, and the maximum size of the turbine is 𝑟1, as shown in Figure ‎4-2. The DoE is a parametric study based on the simultaneous variation of one or more input parameters while the other input parameters are maintained constant. In each run, a single input parameter (or multiple) is varied while the other parameters are kept constant. Once the run is completed, the optimum value of the varied input parameter that leads to the optimum objective function is fixed. In the next run, another input parameter is varied and the process is repeated until the entire set of input parameters is examined. 5.6 Results of DPC and DoEC The input conditions specified by the industrial partner are presented in Table ‎4-1. The aim at this point is to design, validate and perform a parametric of the radial-inflow turbine based on these input conditions. 5.6.1 Comparison with an Existing Model The model is validated against a well-defined model [238]to evaluate its accuracy. In Glassman’s case[238], some significant inputs, such as power, rotational speed, stator exit angle, angular momentum distribution, rotor exit flow, specific heat ratio of the gas and stator radius ratios, must be specified by the designer to solve the model. This method indicates that the designer has to have enough experience of empirical knowledge to specify the suitable input parameters. Therefore, the proposed methodology in this work requires substantially fewer input parameters, in which little or no experience of the empirical correlations is required. The results of both cases are compared in terms of geometry and performance of the turbine. Table ‎5-2 presents the design input parameters of the turbine presented in [238].PDF Image | Automotive Radial Turbine Expander Design WHR
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