An Advanced Multifidelity Multidisciplinary Design Analysis Optimization Toolkit for General Turbomachinery

The MDAO framework has become an essential part of almost all fields, apart from mechanical, transportation, and aerospace industries, for efficient energy conversion or otherwise. It enables rapid iterative interaction among several engineering disciplines at various fidelities using automation tools design improvement. An advanced low to high fidelity is developed ducted unducted turbomachinery blade designs. parametric geometry tool a key feature which converts low-fidelity results into 3D shapes can readily be used in high-fidelity multidisciplinary simulations as optimization cycle. generator physics solvers are connected DAKOTA, open-source optimizer with parallel computation capability. entire cycle automated new iterations generated input parameter variations controlled by DAKOTA. Single- multi-objective genetic algorithm gradient method-based cases demonstrated applications. B-splines define smooth perturbation variables chordwise spanwise the blade. ability create quickly analyses control unique Non-intuitive designs feasible this designers really benefit manipulation. Optimization each realized through automation. As analysis, structural analysis also performed unidirectional fluid–structure few imported pressure loads RANS solution. Examples axial turbofans, compressor rotors, turbines, radial compressors, propellers, wind hydrokinetic turbines prove generality.