Optimal CMM measurement locationsfor manufactured part modeling

Yu Michael Wang; Shailendra Gupta

doi:10.1115/DETC98/DAC-5583

Optimal CMM measurement locationsfor manufactured part modeling

Yu Michael Wang^*, Shailendra Gupta

^*Corresponding author for this work

Research output: Chapter in Book/Conference Proceeding/Report › Conference Paper published in a book › peer-review

Abstract

The focus of this paper is to address the problem of optimalmeasurement location for manufactured part modeling (MPM)with CMM coordinate data. In the manufactured part modeling approach, a shape deviation model parameterized to representthe part's actual geometric attributes is determined from the measured data. The resulting model parameters are then used to makedecisions regarding part acceptability and/or manufacturing process control. The goal of optimal measurement is to ensure theaccurate and robust estimation of model parameters. A sensitivitymeasure that reflects the confidence associated with the estimatedvalues of the parameters and their robustness against singularityis developed as a criterion for choosing measurement point locations.

Original language	English
Title of host publication	24th Design Automation Conference
Publisher	American Society of Mechanical Engineers (ASME)
ISBN (Electronic)	9780791880326
DOIs	https://doi.org/10.1115/DETC98/DAC-5583
Publication status	Published - 1998
Externally published	Yes
Event	ASME 1998 Design Engineering Technical Conferences, DETC 1998 - Atlanta, United States Duration: 13 Sept 1998 → 16 Sept 1998

Publication series

Name	Proceedings of the ASME Design Engineering Technical Conference
Volume	2

Conference

Conference	ASME 1998 Design Engineering Technical Conferences, DETC 1998
Country/Territory	United States
City	Atlanta
Period	13/09/98 → 16/09/98

Bibliographical note

Publisher Copyright:
© 1998 by ASME.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1115/DETC98/DAC-5583

Cite this

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title = "Optimal CMM measurement locationsfor manufactured part modeling",

abstract = "The focus of this paper is to address the problem of optimalmeasurement location for manufactured part modeling (MPM)with CMM coordinate data. In the manufactured part modeling approach, a shape deviation model parameterized to representthe part's actual geometric attributes is determined from the measured data. The resulting model parameters are then used to makedecisions regarding part acceptability and/or manufacturing process control. The goal of optimal measurement is to ensure theaccurate and robust estimation of model parameters. A sensitivitymeasure that reflects the confidence associated with the estimatedvalues of the parameters and their robustness against singularityis developed as a criterion for choosing measurement point locations.",

author = "Wang, \{Yu Michael\} and Shailendra Gupta",

note = "Publisher Copyright: {\textcopyright} 1998 by ASME.; ASME 1998 Design Engineering Technical Conferences, DETC 1998 ; Conference date: 13-09-1998 Through 16-09-1998",

year = "1998",

doi = "10.1115/DETC98/DAC-5583",

language = "English",

series = "Proceedings of the ASME Design Engineering Technical Conference",

publisher = "American Society of Mechanical Engineers (ASME)",

booktitle = "24th Design Automation Conference",

}

Wang, YM & Gupta, S 1998, Optimal CMM measurement locationsfor manufactured part modeling. in 24th Design Automation Conference. Proceedings of the ASME Design Engineering Technical Conference, vol. 2, American Society of Mechanical Engineers (ASME), ASME 1998 Design Engineering Technical Conferences, DETC 1998, Atlanta, United States, 13/09/98. https://doi.org/10.1115/DETC98/DAC-5583

Optimal CMM measurement locationsfor manufactured part modeling. / Wang, Yu Michael; Gupta, Shailendra.
24th Design Automation Conference. American Society of Mechanical Engineers (ASME), 1998. (Proceedings of the ASME Design Engineering Technical Conference; Vol. 2).

Research output: Chapter in Book/Conference Proceeding/Report › Conference Paper published in a book › peer-review

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Optimal CMM measurement locationsfor manufactured part modeling

Abstract

Publication series

Conference

Bibliographical note

UN SDGs

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