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Multiobjective optimization of rocket engine pumps using evolutionary algorithm
| Content Provider | NASA Technical Reports Server (NTRS) |
|---|---|
| Author | Liou, Meng-Sing Oyama, Akira |
| Copyright Year | 2001 |
| Description | A design optimization method for turbopumps of cryogenic rocket engines has been developed. Multiobjective Evolutionary Algorithm (MOEA) is used for multiobjective pump design optimizations. Performances of design candidates are evaluated by using the meanline pump flow modeling method based on the Euler turbine equation coupled with empirical correlations for rotor efficiency. To demonstrate the feasibility of the present approach, a single stage centrifugal pump design and multistage pump design optimizations are presented. In both cases, the present method obtains very reasonable Pareto-optimal solutions that include some designs outperforming the original design in total head while reducing input power by one percent. Detailed observation of the design results also reveals some important design criteria for turbopumps in cryogenic rocket engines. These results demonstrate the feasibility of the EA-based design optimization method in this field. |
| File Size | 750821 |
| Page Count | 16 |
| File Format | |
| Alternate Webpage(s) | http://archive.org/details/NASA_NTRS_Archive_20010094059 |
| Archival Resource Key | ark:/13960/t1hj1gc29 |
| Language | English |
| Publisher Date | 2001-08-01 |
| Access Restriction | Open |
| Subject Keyword | Aircraft Propulsion And Power Structural Design Computational Fluid Dynamics Centrifugal Pumps Rocket Engines Design Analysis Fluid Pressure Genetic Algorithms Pump Impellers Turbine Pumps Flow Velocity Floating Point Arithmetic Multidisciplinary Design Optimization Cryogenic Rocket Propellants Ntrs Nasa Technical Reports ServerĀ (ntrs) Nasa Technical Reports Server Aerodynamics Aircraft Aerospace Engineering Aerospace Aeronautic Space Science |
| Content Type | Text |
| Resource Type | Article |