
doi: 10.2514/6.2000-838
The development of an optimization environment for multidisciplinary turbomachinery blade design is presented. The optimization environment simplifies the use of various optimization and evaluation methods. An advanced blade parameterization scheme is developed, in order to perform particular blade modifications with a limited number of optimization parameters. The generation of invalid designs is avoided a priori, which is particularly important in turbomachinery design with expensive 3D flow computations. The parameterization includes several components, such as profile, blade and grid generation tools. A CPD solver computes various turbomachinery stage designs in parallel. A preevaluation tool extracts necessary data and processes objectives and constraints. These objectives and constraints are assessed in an evaluator indicating the design quality. Interfaces between all tools of the optimization environment guarantee an automated, closed data flow. It is shown that this optimization environment enables easily sensitivity analyses as well as optimization runs. Investigations are made in order to derive reasonable 3D flow assessment criteria for the objectives and constraints. Results of performing multidisciplinary turbomachinery blade design optimizations on a turbine stage are presented.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 26 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
