Commercial Engine Architecture Selection in the Presence of Uncertainty and Evolving Requirements

The objective of this paper is to discuss a few challenges foreseeable for future aircraft engine designs and briefly survey ongoing research that addresses these challenges. Emphasis is placed on methods for selecting commercial engine architectures. Four fundamental needs are identified and discussed at length: uncertainty in the design process, strategic business decisions in the context of engine design, complexity of future propulsion systems, and integration of new technologies into next-generation products. Probabilistic techniques are suggested as an analytical means to quantify the impact of uncertainty and to allow for uncertainty-mitigating decisions in the design process. Advanced engineering models in conjunction with ideas from complexity theory and game theory are a possible means of addressing the larger strategic business decisions as they pertain to architecture selection. Thermodynamic work potential methods are proposed as a basis for dealing with increased complexity. Finally, the role of technology identification, evaluation, and selection methods in engine technology studies is discussed.

[1]  Dimitri N. Mavris,et al.  Adaptive Selection of Engine Technology Solution Sets from a Large Combinatorial Space , 2001 .

[2]  Dimitri N. Mavris,et al.  Comparison of Thermodynamic Loss Models Suitable for Gas Turbine Propulsion , 2001 .

[3]  Bryce Alexander Roth,et al.  A theoretical treatment of technical risk in modern propulsion system design , 2000 .

[4]  Y.-T. Wu Methods for efficient probabilistic analysis of systems with large number of random variables , 1998 .

[5]  Dimitri N. Mavris,et al.  A Probabilistic Design Methodology for Commercial Aircraft Engine Cycle Selection , 1998 .

[6]  Michelle Kirby,et al.  Forecasting Technology Uncertainty in Preliminary Aircraft Design , 1999 .

[7]  Y.-T. Wu,et al.  COMPUTATIONAL METHODS FOR EFFICIENT STRUCTURAL RELIABILITY AND RELIABILITY SENSITIVITY ANALYSIS , 1993 .

[8]  Oliver Bandte,et al.  A probabilistic multi-criteria decision making technique for conceptual and preliminary aerospace systems design , 2000 .

[9]  Dimitri N. Mavris,et al.  A Method for Technology Selection Based on Benefit, Available Schedule and Budget Resources , 2000 .

[10]  Dimitri N. Mavris,et al.  Determination of System Feasibility and Viability Employing a Joint Probabilistic Formulation , 1999 .

[11]  Dimitri N. Mavris,et al.  A Probabilistic Approach to UCAV Engine Sizing , 1998 .

[12]  J. L. Younghans,et al.  Preliminary Design of Low Cost Propulsion Systems Using Next Generation Cost Modeling Techniques , 1998 .

[13]  T. Cruse,et al.  Advanced probabilistic structural analysis method for implicit performance functions , 1990 .

[14]  Dimitri N. Mavris,et al.  Viable Designs Through a Joint Probabilistic Estimation Technique , 1999 .