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Aerospace Systems Design Laboratory (ASDL)

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Author: Mistree, Farrokh × End date: 1999 × Start date: 1990 ×

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Now showing 1 - 4 of 4
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    Multi-Level, Partitioned Response Surfaces for Modeling Complex Systems
    (Georgia Institute of Technology, 1998-09) Koch, Patrick N. ; Mavris, Dimitri N. ; Mistree, Farrokh
    The most prevalent type of approximating functions employed for efficient engineering analysis and design integration are polynomial response surfaces. However, the construction of response surface approximations has been limited to problems with only a few variables, due to the number of analyses necessary to fit sufficiently accurate models. In this paper, an approach is presented for partitioning response surfaces and constructing multi-level approximations for problems with larger numbers of variables. Using this approach, the (computer) experimentation necessary for fitting response surface models is reduced tremendously. A modified composite experimental design is also presented for the construction of response models that are more consistently accurate across the range of the design variables. The multi-level, partitioned response surface modeling and modified composite design approaches are demonstrated for the preliminary design of a commercial turbofan engine, an example problem defined in collaboration with Allison Engine Company, Rolls-Royce Aerospace Group.
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    DREAMS and IMAGE: A Model and Computer Implementation for Concurrent, Life-Cycle Design of Complex Systems
    (Georgia Institute of Technology, 1996-06) Hale, Mark A. ; Craig, James I. ; Mistree, Farrokh ; Schrage, Daniel P.
    Computing architectures are being assembled that extend concurrent engineering practices by providing more efficient execution and collaboration on distributed, heterogeneous computing networks. Built on the successes of initial architectures, requirements for a next-generation design computing infrastructure can be developed. These requirements concentrate on those needed by a designer in decision-making processes from product conception to recycling and can be categorized in two areas: design process and design information management. A designer both designs and executes design processes throughout design time to achieve better product and process capabilities while expending fewer resources. In order to accomplish this, information, or more appropriately design knowledge, needs to be adequately managed during product and process decomposition as well as recomposition. A foundation has been laid that captures these requirements in a design architecture called DREAMS (Developing Robust Engineering Analysis Models and Specifications). In addition, a computing infrastructure, called IMAGE (Intelligent Multidisciplinary Aircraft Generation Environment), is being developed that satisfies design requirements defined in DREAMS and incorporates enabling computational technologies.
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    On the Development of a Computing Infrastructure that Facilitates IPPD from a Decision-Based Perspective
    (Georgia Institute of Technology, 1995-09) Hale, Mark A. ; Craig, James I. ; Mistree, Farrokh ; Schrage, Daniel P.
    Integrated Product and Process Development (IPPD) embodies the simultaneous application of both system and quality engineering methods throughout iterative design processes. The use of IPPD results in the time-conscious, cost-saving development of engineering systems. A computing infrastructure called IMAGE is designed to implement IPPD from a decision-based perspective. IMAGE has four components: designer activities, available assets, agent collaboration, and a computing architecture. IMAGE captures a designer's activities through a timeline partitioning scheme, problem formulation and solution, and comprehensive information management. To support these activities, IMAGE incorporates design resources through the use of agents. Agents are a critical computational enabling technology that provide accountable mechanisms for resource collaboration in an integrated computing environment.
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    Implementing an IPPD Environment from a Decision-Based Design Perspective
    (Georgia Institute of Technology, 1995-05) Hale, Mark A. ; Schrage, Daniel P. ; Mistree, Farrokh ; Craig, James I.
    Integrated Product and Process Development (IPPD) embodies the simultaneous application of both system and quality engineering methods throughout an iterative design process. The use of IPPD results in the time-conscious, cost-saving development of engineering systems. Georgia Tech has proposed the development of an Integrated Design Engineering Simulator that will merge Integrated Product and Process Development with interdisciplinary analysis techniques and state-of-the-art computational technologies. To implement IPPD, a Decision-Based Design perspective is encapsulated in an approach that focuses on the role of the human designer in product development. The approach has two parts and is outlined in this paper. First, an architecture, called DREAMS, is being developed that facilitates design from a decision-based perspective. Second, a supporting computing infrastructure, called IMAGE, is being designed. The current status of development is given and future directions are outlined.