Multidisciplinary optimization of a pump–fed system in a cryogenic LPE using a systematic approach based on genetic algorithm-Reference-Cited by-同舟云学术

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Multidisciplinary optimization of a pump–fed system in a cryogenic LPE using a systematic approach based on genetic algorithm

Published:2016-02 Issue: Volume:49 Page:185-196
ISSN:1270-9638
Container-title:Aerospace Science and Technology
language:en
Short-container-title:Aerospace Science and Technology

Author:

Montazeri M.J.,Ebrahimi R.

Publisher

Elsevier BV

Subject

Aerospace Engineering

Reference32 articles.

1. Design of Liquid Propellant Engine, Configuration and Structure;Montazeri,2006

2. Advanced rocket engines;Haidn,2008

3. Progress in design optimization using evolutionary algorithms for aerodynamic problems;Lian;Prog. Aerosp. Sci.,2010

4. Investigation of high-performance oxygen–kerocene booster turbopump for new generation of LPE;Romanskov,2005

5. Increasing of system efficiency of feeding system of oxygen–kerocene LPE with non-oxidant gas generator;Miroshkin,2005

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1. Impeller optimization using a machine learning-based algorithm with dynamic sampling method and flow analysis for an axial flow pump;Journal of Physics: Conference Series;2024-02-01

2. Comparison of Optimization Techniques and Objective Functions Using Gas Generator and Staged Combustion LPRE Cycles;Applied Sciences;2022-10-17

3. Multi-objective optimization of a two-stage liquefied natural gas cryogenic submerged pump-turbine in pump mode to reduce flow loss and cavitation;Journal of Energy Storage;2022-08

4. Using the hierarchical Kriging model to optimize the structural dynamics of rocket engines;Aerospace Science and Technology;2020-12

5. Optimum attitude planning of near-space solar powered airship;Aerospace Science and Technology;2019-01

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