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    Robust design using sequential computer experiments

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    etd-tamu-2004A-INEN-Gupta-1.pdf (576.4Kb)
    Date
    2004-09-30
    Author
    Gupta, Abhishek
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    Abstract
    Modern engineering design tends to use computer simulations such as Finite Element Analysis (FEA) to replace physical experiments when evaluating a quality response, e.g., the stress level in a phone packaging process. The use of computer models has certain advantages over running physical experiments, such as being cost effective, easy to try out different design alternatives, and having greater impact on product design. However, due to the complexity of FEA codes, it could be computationally expensive to calculate the quality response function over a large number of combinations of design and environmental factors. Traditional experimental design and response surface methodology, which were developed for physical experiments with the presence of random errors, are not very effective in dealing with deterministic FEA simulation outputs. In this thesis, we will utilize a spatial statistical method (i.e., Kriging model) for analyzing deterministic computer simulation-based experiments. Subsequently, we will devise a sequential strategy, which allows us to explore the whole response surface in an efficient way. The overall number of computer experiments will be remarkably reduced compared with the traditional response surface methodology. The proposed methodology is illustrated using an electronic packaging example.
    URI
    https://hdl.handle.net/1969.1/492
    Subject
    design of computer experiments
    sequential design
    robust design
    kriging
    metamodel
    Finite Element Analysis
    response surface methodology
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    • Electronic Theses, Dissertations, and Records of Study (2002– )
    Citation
    Gupta, Abhishek (2005). Robust design using sequential computer experiments. Master's thesis, Texas A&M University. Texas A&M University. Available electronically from https : / /hdl .handle .net /1969 .1 /492.

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