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  • Development of an optimal trajectory model for spray painting on a free surface

    Author(s)
    Diao, XD
    Zeng, SX
    Tam, Vivian WY
    Griffith University Author(s)
    Tam, Vivian WY.
    Year published
    2009
    Metadata
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    Abstract
    Generally, trajectory planning problems are often formulated as constrained variational problems. This paper develops an optimal trajectory model to optimize the trajectory planning on a free surface to achieve uniform deposition over painted surface and reduce wastage of coating materials. Numerical solution techniques consider geometric characteristics on a free surface, rate of film accumulation, and position and orientation of spray guns in uniformity coating and painting duration. Given a specified spatial path and functions of film accumulation rates for an infinite range model and a beta distribution model, some results ...
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    Generally, trajectory planning problems are often formulated as constrained variational problems. This paper develops an optimal trajectory model to optimize the trajectory planning on a free surface to achieve uniform deposition over painted surface and reduce wastage of coating materials. Numerical solution techniques consider geometric characteristics on a free surface, rate of film accumulation, and position and orientation of spray guns in uniformity coating and painting duration. Given a specified spatial path and functions of film accumulation rates for an infinite range model and a beta distribution model, some results are obtained by using nonlinear programming techniques based difference quasi- Newton method over cone surfaces. It provides objective functions that can be used to minimize the thickness variation of the paint spraying of a specified spatial path. These results also give an evaluation along the average velocity trajectory and the optimal trajectory to demonstrate the feasibility of the proposed methods. The formulated optimization methods can be applied to solve the same class of nonlinear planning problems.
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    Journal Title
    Computers & Industrial Engineering
    Volume
    57
    DOI
    https://doi.org/10.1016/j.cie.2008.11.010
    Subject
    Mathematical sciences
    Information and computing sciences
    Engineering
    Publication URI
    http://hdl.handle.net/10072/29284
    Collection
    • Journal articles

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