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NDT.net Issue - 2014-06 - Articles
NDT.net Issue: 2014-06
Publication: 5th Conference on Industrial Computed Tomography (iCT) 2014, 25-28 February 2014, Wels, Austria (iCT 2014)
Session: Dimensional Measurement
ARTICLE

New Method for Master Pattern Tool Correction Based on Computed Tomography Data and Intelligent Reverse Engineering.

Dominik Schmid1, Jochen Merz1, Jochen Hiller221
1Carl Zeiss Industrielle Messtechnik GmbH, Essingen, Germany
2Carl Zeiss Industrielle Messtechnik GmbH21, Oberkochen, Germany

Abstract: Master pattern tools (MPTs) are widely used in different industrial production processes in order to easily produce a high number of similar parts, e.g. injection molding industry. In such production processes, one creates a large number of parts which adopt the form given by the MPT, i.e., the MPT theoretically represents the “negative” of the desired part. Although there is an increasing number of well developed software packages that aim to simulate the underlying production process by means of all involved process parameters, one hardly arrives with an acceptable result for the part with the initial MPT. In most scenarios, one has to deal with local shrinkage and some kind of deformation of the manufactured part. Consequently, one needs to locally modify the underlying MPT in order to come up with a process that guarantees the production of parts whose geometrical features all lie within the given dimensional tolerance. Until today, the correction process for the underlying MPT requires quite a few time-consuming and very costly iterations. In this paper, we present a new method that combines measurements based on computed tomography data with intelligent reverse engineering techniques to accelerate and further automate the correction process for the corresponding MPT.

Keywords: Master Pattern Tool Correction (1), Process Automation (1), CT Dimensional Measurement (1), Intelligent Reverse Engineering (1),
*Keywords are freely formed keywords from the authors and thus you may Search also for similar terms.

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