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The major purpose of this paper is to illustarte of statistical design accuracy using trajectory simulation for launch vehicles design in conceptual design phase and also sensitivity analysis of velocity relative to effective external forces. Considering the advantages of statistical design to prevent the time and cost losses, system specification of sample launch vehicle calculated based on statistical data of the studied population. Then, by solving the equations of motion, design parameters are calculated in such a way that difference of the final velocity of trajectory simulation and needed orbital speed is less than 1 percent. Studied launch vehicles are two-stage liquid propellant vehicles, with Portability 2.5-3.5 tons mass to the low earth orbit. To validate, curves of speed, altitude and angle of path of launch vehicle designed with statistical method, compared with curves of Tsiklon launch vehicle, therefore correct operation the mission and accuracy of the statistical design algorithm is proved. By comparing ideal speed and speed of simulation, speed changes of any effective force obtained. Eventually speed loss factor at each stage and sensitive percent of each stage speed relative to the force, for both launch vehicles, statistical design and tsiklon, is analyzed.

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The design of combustor has long been the most challenging portion in the design process of a gas turbine. This paper focused on the conceptual design methodology for aircraft combustors. The necessity of this work arose from an urgent need for a comprehensive model that can quickly provide data in the initial phases (conceptual design and preliminary design) of the design process. The proposed methodology integrated the performance and the design of combustors. To accomplish this, a computer code has been developed based on the design procedures. The design model could provide the combustor geometry and the combustor performance. Based on the available inputs data in the initial phases of the design process, a chemical reactor network (CRN) approach is selected to model the combustion with a detailed chemistry. In this way, three different chemical mechanisms are studied for Jet-A aviation fuel. Furthermore, the droplet evaporation for liquid fuel and the non-uniformity in the fuel-air mixture are modelled. The results of a developed design tool are compared with data of an annular engine’s combustor. The results have good agreement with the actual geometry and outputs of engine test rig emissions.

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This paper has introduced a fast GEO satellite conceptual design method named Statistical Design Model (SDM). The main merit of SDM is to determine parameters involved in the satellite conceptual design phase, such as power and mass, with an acceptable accuracy and time performance. This method implemented by means of a complete database can readily find specifications of GEO communication satellite subsystems. With respect to the application of GEO communications satellites as well as high cost and time required for their conceptual design, a demand has always existed to shorten the duration of the development of such satellites. Herein, we present SDM method for the conceptual design of GEO communications satellites lying in the mass range of 1000 to 7000 kg and amply indicate its effectiveness for reduction of design time. For implementation of SDM and the attaining of reliable relations, we used a database which is constructed from records of over 450 GEO communication satellites launched between years 2000 and 2016. The attained relations demonstrating the subsystems specifications are analyzed. The accuracy of the proposed algorithm is verified through a case study and also through a statistical method. In the various subsystems, mean error of the obtained results was nearly 15.7%, being well acceptable for the conceptual design phase.

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The purpose of this article is to optimal manned space launch system conceptual design methodology with combination of modular design (by using clustering the existing motors to provide the thrust force) and sensitivity analysis (by varying the affected parameters to achieve the capability) approach. This methodology is implemented according to the human departure to space program and higher strategy document (country’s aerospace development comprehensive document). To this end, in the methodology is utilized both of the statistical and parametric (the space launch system optimized main parameters) methodologies, is determined the optimum thrust level based on the three fundamental requirements (number of stages, number of engines in clustering and maximum axial acceleration). These fundamental requirements are affected on risk and manned space launch system axial acceleration. In the paper, the purpose of sensitivity analysis is to determine of value of effective of main design parameters on space launch system capabilities. The method for optimizing and design space searching is utilized from Genetic Algorithm (GA). Finally, the suggested methodology and mass – energy capabilities will be verified by comparing the results of two methodology (statistical and optimal) to achieve the specific mission.