Abstract
The optimal design of gas generator was conducted. Turbo pump system with fuel rich combustion in gas generator was the system considered in this study. The objective function is the specific impulse of main thrust chamber operating with RP-11LOX propellants. Sensitivity analyses to the objective function were used to measure the relative dependence of design variables the objective function. Also optimization method was adopted with two different algorithms; GBM (Gradient based method) and non-GBM. GBM includes SLP, MMFD, and SQP algorithms and the result of GBM were compared with non-GBM result; SA (Simulated Annealing) method. As a result, it was confirmed that SA could yield a global optimization regardless of initial variations. Whereas GBM showed the results were dependent on the initial conditions. And the global optimization could provide a better configuration of gas generator in the design stage. The present study aims at the optimization of gas generator design. Thus optimization methodology was tested with variety of optimization technique applied to the gas generator design with various constraints. Also, the present study compares the results from GBM algorithms with that of SA in order to check the validity of global solution
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
