Description
Book SynopsisAdvances in Engineering Research. Volume 33 opens by describing a general strategy for building Markov chain models and performing a computational analysis of characteristics of the process, as well providing a few examples of the applications of this approach. Adaptive differential evolution algorithms are compared with the conventional genetic algorithm in the optimization and identification of the parameters of power electronics systems and electric drives. The authors investigate the impact of a particular flow parameter on mixed flow turbine loss generation and performance, aiming to determine the optimum condition of the turbine operation with respect to the Reynolds number. The effect of the rotor trailing-edge blade angle on mixed flow turbine performance under steady flow conditions is examined. For this end, six mixed flow rotors having different trailing-edge blade angles are numerically designed. Computational fluid dynamics simulations are carried out using the Ansys CFX package. Lastly, a preliminary evaluation and analysis of the structural condition of the Old Church of Saint Andrew is examined. The current study is beset with a multitude of difficulties due to insufficient of technical data. For this reason, an in situ detailed drawing survey is conducted, and the mechanical characteristics of the structure are determined.
Table of ContentsPrefaceApplication of the Theory of Markov Chains to Model Different Processes in Particle TechnologyApplications of Adaptive Differential Evolution to Optimize and Identify the Parameters of Power Electronics and Electric MachinesStudy of Reynolds Number Effect on Loss Generations and Performance of One Turbocharger Mixed Flow TurbineEffect of the Trailing-Edge Blade Angle on Mixed Flow Turbine Performance and Flow Structure under Steady Flow ConditionsEvaluation and Diagnosis of Damages of the Old Church of Saint AndrewIndex.
