Study of detailed deviation zone considering coordinate metrology uncertainty
Created by W.Langdon from
gp-bibliography.bib Revision:1.8028
- @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
Citations