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Average performance of adaptive algorithms for programming co-ordinate measuring machines under budget constraint

✍ Scribed by Al-Mharmah, Hisham Ahmad


Publisher
John Wiley and Sons
Year
1999
Tongue
English
Weight
90 KB
Volume
15
Category
Article
ISSN
8755-0024

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✦ Synopsis


In this paper we develop two adaptive algorithms for programming co-ordinate measuring machines assuming ÿxed sampling budget. Two di erent costs are considered: the travelling cost of the machine probe, and the sampling cost to read and store all measurements. Simulation is used to compare the average performance of the proposed algorithms under the assumption of Wiener measure on the space of all surface contours of the manufactured parts. Expected value of the probability of Type II error is the criterion that we use to characterize algorithms performance. Analysis shows that placing sample points according to the criterion of maximizing the expected gain demonstrates a substantial improvement in the average performance. Copyright