Pfaender H.,Georgia Institute of Technology |
Mavris D.,Aerospace Systems Design Laboratory
12th AIAA Aviation Technology, Integration and Operations (ATIO) Conference and 14th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference | Year: 2012
This paper explores the effects of fuel prices on aviation technology and environmental outcomes. The concern is that significant efficiency improvements could potentially increase the environmental impact of aviation instead of reducing it by reducing costs and also increasing economic activity at the same time. Here we explore this effect known as Jevons' Paradox, by exploring the dynamic interplay of efficiency, demand feedback, airline decision making, and aircraft technologies. The results produced through dynamic modeling show that it seems unlikely that this effect would altogether overwhelm efficiency gains. However, we find that the effect does reduce vehicle efficiency gains at the system level, not only due to extensive fleet turn-over times, but also due to demand bounce back effects. © 2012 by Holger Pfaender and Dimitri Mavris.
Gatian K.N.,Georgia Institute of Technology |
Gatian K.N.,Aerospace Systems Design Laboratory |
Mavris D.N.,Georgia Institute of Technology |
Mavris D.N.,Director Aerospace Systems Design Laboratory
15th AIAA Aviation Technology, Integration, and Operations Conference | Year: 2015
When aggressive performance goals for next generation aircraft systems are set, technology development programs must select the appropriate sub-set of technologies to achieve them. Evaluating technologies with respect to their performance when they are not fully developed is diflcult because the results are the result of a forecasting exercise. Furthermore, the uncertainty surrounding each technology's performance should be investigated to provide a clear picture to decision makers. This research provides processes for technology portfolio formulation and selection based upon quantitative, probabilistic performance assessments that incorporate advanced technology forecasting and uncertainty quantification techniques. The processes were tested on an environmentally-motivated case study through the use of a physics-based, aircraft design and analysis tool. The results of the implementation show that the impact a technology has on system performance metrics can be used for technology prioritization. Furthermore, it is demonstrated that the probabilistic analysis procedure outlined for portfolio evaluation enables portfolio down-selection. © 2015, American Institute of Aeronautics and Astronautics Inc.
Mavris D.N.,Georgia Institute of Technology |
Mavris D.N.,Aerospace Systems Design Laboratory |
Griendling K.,Georgia Institute of Technology |
Griendling K.,Research Engineer II |
Dickerson C.E.,Loughborough University
Journal of Aircraft | Year: 2013
In this paper, a new framework for performing early technology tradeoff and design studies, the relational-oriented systems engineering and technology tradeoff analysis framework, is developed and applied to an initial case study to conduct a trade between two candidate technologies for potential application on a commercial jet Relational-oriented systems engineering and technology tradeoff analysis leverages the relational-oriented systems engineering methodology coupled with the exploitation of transformations used in modeling and simulation to create a direct association between the quality function deployment methodology and standard quantitative conceptual design space exploration techniques leveraged in technology forecasting and trade studies. This association brings precision to quality function deployment that is model driven and mathematically founded. The approach highlights key deficiencies in quality function deployment when applied to early phase design and technology tradeoff studies for the development of systems. Relational-oriented systems engineering and technology tradeoff analysis proposes a more rigorous and generalized mathematical framework for conducting generic quality-function- deployment-type exercises to support decision-making in early systems engineering and design, and the advantages of the relationaloriented systems engineering and technology tradeoff analysis framework are demonstrated through the application of relational-oriented systems engineering and technology tradeoff analysis to a small-scale aerospace technology tradeoff. Relational-oriented systems engineering and technology tradeoff analysis provides a means to begin to formalize and strengthen the relationship between quality function deployment, modeling and simulation, and theoretical mathematics, and it allows translation between these three approaches to engineering problems. © 2013 by Dimitri Mavris, Kelly Griendling, and Charles Dickerson. Publishedbythe American Institute of Aeronautics and Astronautics, Inc.,.
Silva-Martinez J.,Georgia Institute of Technology |
Silva-Martinez J.,Aerospace Systems Design Laboratory |
Schrage D.,Georgia Institute of Technology
52nd AIAA Aerospace Sciences Meeting - AIAA Science and Technology Forum and Exposition, SciTech 2014 | Year: 2014
This paper is a continuation of the analysis performed in support of the development of a Collaborative Aerospace Lifecycle Systems Engineering Master's Program (CALSEMP). CALSEMP addresses six focus areas identified by the NDIA including systems engineering trade study and design decision methodologies; system integration, assembly, and test analyses modeling; enterprise level supply chain design; electrical, mechanical, and assembly yield modeling; quantitative analyses; and life cycle cost modeling. The proposed research master's program is divided into five variants designed to meet CALSEMP objectives. Those variants are explored and analyzed at Georgia Tech using the integrated product and process design approach to systems engineering, with qualitative and quantitative tools, such as the house of quality, morphological matrix, Pugh and TOPSIS methods. Through the systems engineering plan presented to aid with the execution of this proposed program and its variants, we hope to enable aerospace industries to compete on the global aerospace market by providing them with tools that help them integrate more tightly manufacturing, producibility, life cycle costs, and large scale system integration concerns from the beginning of the aerospace design process.
Renganathan S.A.,Georgia Institute of Technology |
Renganathan S.A.,Aerospace Systems Design Laboratory |
Mavrisy D.N.,Georgia Institute of Technology
51st AIAA/SAE/ASEE Joint Propulsion Conference | Year: 2015
The conceptual design of a runway-based, fully re-usable space launch system to deliver payload to 100 nautical mile Low Earth Orbit (LEO), driven by the requirements of Space Solar Power (SSP), is performed. A two-stage-to-orbit (TSTO) system is considered which includes a large supersonic carrier vehicle capable of take-off and landing on conventional runways and a hypersonic vehicle air-launched from the carrier vehicle, capable of accelerating to orbital speeds and return to earth safely, thereby making the system re-usable and hence cost effective. The energy based constraint analysis by Mattingly1 is used to size the carrier vehicle while local surface inclination methods2 are used to size the hypersonic vehicle. An unified environment that can rapidly size the TSTO system is developed. This paper presents the preliminary results of the environment which is undergoing ongoing development. Focus is laid more on the analytical representation of the hypersonic vehicle shape and its drag estimation which is critical in the conceptual design of the vehicle. The propulsion system feasibility for the launch system is also discussed. © 2015, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.