2014/11/02 by Eric Dow, Dow, Eric, Qiqi Wang +1
Computer Science · Engineering · Mathematics · #Advanced Multi-Objective Optimization Algorithms #Blade (archaeology) #Computer science #Engineering #Finite element method #Gas compressor #Geometry #Mathematics #Mechanical engineering #Mechanism (biology) #Optimal design #Physics #Point (geometry) #Refrigeration and Air Conditioning Technologies #Shape optimization #Structural engineering #Turbomachinery #Turbomachinery Performance and Optimization #math.OC
paper · pdf · doi:10.48550/arxiv.1411.0338
published in arXiv (Cornell University) (Cornell University)
arxiv created 2014/11/02 · openalex publication_date 2014/11/02 · arxiv updated 2014/11/04 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Geometric variability increases performance variability and degrades the mean performance of turbomachinery compressor blades. These detrimental effects can be reduced by using robust optimization to design the blade geometry or by imposing stricter manufacturing tolerances. This paper presents a novel computational framework for optimizing compressor blade manufacturing tolerances, and incorporates this framework into existing robust geometry design frameworks. Optimizations of an exit guide vane geometry are conducted. The single-point optimal geometry is found to depend on the manufacturing tolerances due to a switch in the dominant loss mechanism. Multi-point geometry optimization avoids this switch so that the geometry and tolerance optimization problems are decoupled.