Study of detailed deviation zone considering coordinate metrology uncertainty

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@Article{Jamiolahmadi:2016:Measurement,
  author =       "Saeed Jamiolahmadi and Ahmad Barari",
  title =        "Study of detailed deviation zone considering
                 coordinate metrology uncertainty",
  journal =      "Measurement",
  year =         "2016",
  ISSN =         "0263-2241",
  DOI =          "doi:10.1016/j.measurement.2016.12.032",
  URL =          "http://www.sciencedirect.com/science/article/pii/S0263224116307308",
  abstract =     "The detailed Deviation Zone Evaluation (DZE) based on
                 the measurement of the discrete points is a crucial
                 task in coordinate metrology. The knowledge of detailed
                 deviation zone is necessary for any form of intelligent
                 dynamic sampling approach in coordinate metrology or
                 any downstream manufacturing process. Developing the
                 desired knowledge of the deviation zone using only a
                 finite set of the data points always needs a set of
                 efficient interpolation and extrapolation techniques.
                 These methods are selected based on the nature of the
                 perusing pattern of the geometric deviation. The
                 objective of this work is to study the efficiency of a
                 DZE approach for the various combinations of the
                 manufacturing errors and coordinate metrology
                 accuracies. The first employed DZE method is governed
                 by a Laplace equation to estimate the geometric
                 deviations and a Finite Difference scheme is used to
                 iteratively solve the problem. The other DZE method
                 uses a metaheuristic approach based on Genetic
                 Programming. Several cases of surfaces manufactured by
                 various levels of fabrication errors and also different
                 types of metrology systems are studied and the
                 convergence of the employed methodologies are analyzed.
                 It is shown how efficient the DZE solutions are to
                 reduce the uncertainty of the resulting deviation zone
                 based on the number of points acquired during the
                 measurement process. The DZE solutions are successful
                 to minimize the number of the required inspected points
                 which directly reduces the cost and the time of
                 inspection. The results show a great improvement in
                 reliability of deviation zone evaluation process.",
  keywords =     "genetic algorithms, genetic programming, Deviation
                 zone evaluation, Coordinate metrology, Finite
                 Difference Method, Manufacturing accuracy, Measurement
                 uncertainty",
}

Genetic Programming entries for Saeed Jamiolahmadi Ahmad Barari

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