Model Based Optimization Setup Parameters by Buratti Andrea (4 results)
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Taschenbuch. Condition: Neu. Model-based Optimization of Setup Parameters for Dimensional Measurements on Monomaterial and Multimaterial Workpieces in Industrial Computed Tomography | Andrea Buratti | Taschenbuch | Großformatiges Paperback. Klappenbroschur | Englisch | Apprimus Verlag | EAN 9783863596439 | Verantwortliche Person… für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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Language: English
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Seller: Antiquariat Bookfarm, Löbnitz, GermanyAntiquariat Bookfarm
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Softcover. Condition: Gut. 1. Auflage. Ehem. Bibliotheksexemplar mit Signatur und Stempel. GUTER Zustand, ein paar Gebrauchsspuren. Ex-library with stamp and library-signature. GOOD condition, some traces of use. L13308 9783863596439 Sprache: Englisch Gewicht in Gramm: 310.
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This manuscript presents a methodology for optimizing setup parameters for dimensional measurements in industrial computed tomography (CT). The methodology relates the influence of setup parameters on measurement uncertainty to five… conditions on scan quality. A set of models for optimizing setup parameters was developed and implemented into a software application. Experimental investigations showed that predicted setup parameters are optimal for the vast majority of the considered features. 170 pp. Englisch.
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This manuscript presents a methodology for optimizing setup parameters for dimensional measurements in industrial computed tomography (CT). The methodology relates the influence of setup parameters on measurement uncertainty to five cond…itions on scan quality. A set of models for optimizing setup parameters was developed and implemented into a software application. Experimental investigations showed that predicted setup parameters are optimal for the vast majority of the considered features.
