Compressor Blade and Casing Treatment Integrated Design

The patent applies parameterization technology to convert the complex geometric parameters of compressor blades and casing treatment into a standardized set of design variables. This allows systematic optimization of stability-enhancing parameters (such as slot geometry, blade angle, and casing treatment configuration) while maintaining design simplicity through a unified parameter set that can be adjusted to achieve desired stall margin improvements.

The patent creates a simplified surrogate model that replicates the complex flow field behavior and stability characteristics of the compressor-casing system. This surrogate model serves as a computational copy that enables rapid evaluation of design alternatives without requiring full-scale complex simulations, thereby reducing design complexity while preserving the ability to assess stability improvements.

The patent merges the previously separate design processes for compressor blades and casing treatment into a unified integrated design framework. By combining the parameter sets of both components and applying multi-objective optimization simultaneously, the system achieves coordinated optimization that maximizes stall margin while preserving efficiency, eliminating the suboptimal results of separate design approaches.

The patent develops a universal parameterization framework and optimization methodology that simultaneously handles multiple design objectives (stall margin enhancement and efficiency maintenance) and multiple design variables (blade geometry and casing treatment parameters). This multi-functional approach allows a single design process to achieve what previously required separate, sequential design steps.

The patent performs preliminary parameterization and surrogate model construction before the multi-objective optimization process. By pre-processing the design space and creating simplified predictive models, the system prepares computational shortcuts that significantly reduce the time required for the subsequent optimization iterations, allowing extensive exploration of design alternatives without prohibitive computational costs.

The patent employs surrogate models as computational copies that replicate the behavior of complex flow simulations. These surrogate models enable rapid evaluation of objective functions (stall margin and efficiency) during optimization iterations, replacing time-consuming high-fidelity simulations with fast approximations that maintain accuracy while reducing computational time by orders of magnitude.