Accuracy Enhancement of CT Measurements using Data Filtering

Alessandro Stolfi; Maarja-Helena Kallasse; Lorenzo Carli; Leonardo De Chiffre

Accuracy Enhancement of CT Measurements using Data Filtering

Alessandro Stolfi
, Maarja-Helena Kallasse
, Lorenzo Carli
, Leonardo De Chiffre

Novo Nordisk Foundation

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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Abstract

This paper describes the impact of data filtering on CT capability to inspect assemblies. The investigation was carried out using an industrial multi-material assembly provided by Novo Nordisk A/S. The assembly comprises two parts made of polyoxymethylene (POM) and of an alloy comprising polycarbonate (PC) and acrylonitrile butadiene styrene (ABS), respectively. 3D median filters with different window sizes were taken in account as influence factors, while a variety of dimensional and geometrical tolerances were used as evaluation parameters. All measurands were calibrated using a tactile CMM with uncertainty below 7 μm.

Original language	English
Title of host publication	Proceedings of the 6th Conference on Industrial Computed Tomography (iCT 2016)
Number of pages	6
Publication date	2016
Publication status	Published - 2016
Event	6th Conference on Industrial Computed Tomography - University of Applied Sciences Upper Austria, Wels, Austria Duration: 9 Feb 2016 → 12 Feb 2016 http://www.3dct.at/cms2/index.php/en/welcome-2

Conference

Conference	6th Conference on Industrial Computed Tomography
Location	University of Applied Sciences Upper Austria
Country/Territory	Austria
City	Wels
Period	09/02/2016 → 12/02/2016
Internet address	http://www.3dct.at/cms2/index.php/en/welcome-2

Keywords

Computed tomography
Dimensional metrology
Multi-material measurements
INTERAQCT Marie Curie
Data filtering
Polymers

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@inproceedings{629c72b51d0843e0a9d8243131ca6344,

title = "Accuracy Enhancement of CT Measurements using Data Filtering",

abstract = "This paper describes the impact of data filtering on CT capability to inspect assemblies. The investigation was carried out using an industrial multi-material assembly provided by Novo Nordisk A/S. The assembly comprises two parts made of polyoxymethylene (POM) and of an alloy comprising polycarbonate (PC) and acrylonitrile butadiene styrene (ABS), respectively. 3D median filters with different window sizes were taken in account as influence factors, while a variety of dimensional and geometrical tolerances were used as evaluation parameters. All measurands were calibrated using a tactile CMM with uncertainty below 7 μm.",

keywords = "Computed tomography, Dimensional metrology, Multi-material measurements, INTERAQCT Marie Curie, Data filtering, Polymers",

author = "Alessandro Stolfi and Maarja-Helena Kallasse and Lorenzo Carli and \{De Chiffre\}, Leonardo",

year = "2016",

language = "English",

booktitle = "Proceedings of the 6th Conference on Industrial Computed Tomography (iCT 2016)",

note = "6th Conference on Industrial Computed Tomography ; Conference date: 09-02-2016 Through 12-02-2016",

url = "http://www.3dct.at/cms2/index.php/en/welcome-2",

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TY - GEN

T1 - Accuracy Enhancement of CT Measurements using Data Filtering

AU - Stolfi, Alessandro

AU - Kallasse, Maarja-Helena

AU - Carli, Lorenzo

AU - De Chiffre, Leonardo

PY - 2016

Y1 - 2016

N2 - This paper describes the impact of data filtering on CT capability to inspect assemblies. The investigation was carried out using an industrial multi-material assembly provided by Novo Nordisk A/S. The assembly comprises two parts made of polyoxymethylene (POM) and of an alloy comprising polycarbonate (PC) and acrylonitrile butadiene styrene (ABS), respectively. 3D median filters with different window sizes were taken in account as influence factors, while a variety of dimensional and geometrical tolerances were used as evaluation parameters. All measurands were calibrated using a tactile CMM with uncertainty below 7 μm.

AB - This paper describes the impact of data filtering on CT capability to inspect assemblies. The investigation was carried out using an industrial multi-material assembly provided by Novo Nordisk A/S. The assembly comprises two parts made of polyoxymethylene (POM) and of an alloy comprising polycarbonate (PC) and acrylonitrile butadiene styrene (ABS), respectively. 3D median filters with different window sizes were taken in account as influence factors, while a variety of dimensional and geometrical tolerances were used as evaluation parameters. All measurands were calibrated using a tactile CMM with uncertainty below 7 μm.

KW - Computed tomography

KW - Dimensional metrology

KW - Multi-material measurements

KW - INTERAQCT Marie Curie

KW - Data filtering

KW - Polymers

M3 - Article in proceedings

BT - Proceedings of the 6th Conference on Industrial Computed Tomography (iCT 2016)

T2 - 6th Conference on Industrial Computed Tomography

Y2 - 9 February 2016 through 12 February 2016

ER -

Accuracy Enhancement of CT Measurements using Data Filtering

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Conference

Keywords

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