Computed Tomography as a Tool for Tolerance Verification of Industrial Parts

Müller, Pavel; Cantatore, Angela; Andreasen, Jan Lasson; Hiller, Jochen; Chiffre, Leonardo De

doi:10.1016/j.procir.2013.08.022

Cited by 29 publications

(15 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In all these previous works reference calibration objects with regular geometries were used. The same types of reference objects with regular geometries are found in the literature published for other authors [23][24][25][26][27]. In the present work the authors propose a real object with complex 3D geometry, which is an innovation with respect to the previous works found in the literature.…”

Section: Introductionmentioning

confidence: 57%

“…A more extensive review of geometrical influence factors is outlined by Ferrucci et al in [23] with respect to the geometrical offsets and misalignments of the cone-beam CT system. Hiller et al compared the results when measuring a test object with two CT systems, two STL models provided by each of the scanners and two different software packages for geometrical fitting [24]. Different measuring strategies are also compared in [25], where three different inspection software packages for volume and surface data analysis were applied.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Comparison of surface extraction techniques performance in computed tomography for 3D complex micro-geometry dimensional measurements

Torralba

Jiménez

Yagüe‐Fabra

et al. 2018

Int J Adv Manuf Technol

View full text Add to dashboard Cite

The number of industrial applications of Computed Tomography (CT) for dimensional metrology in 10 0-10 3 mm range has been continuously increasing, especially in the last years. Due to its specific characteristics Computed Tomography has the potential to be employed as a viable solution for measuring 3D complex micro-geometries as well (i.e. in the sub-mm dimensional range). However, there are different factors that may influence the CT process performance, being one of them the surface extraction technique used. In this paper two different extraction techniques are applied to measure a complex miniaturized dental file by CT in order to analyze its contribution to the final measurement uncertainty in complex geometries at the mm to sub-mm scales. The first method is based on a similarity analysis: the threshold determination; while the second one is based on a gradient or discontinuity analysis: the 3D Canny algorithm. This algorithm has proven to provide accurate results in parts with simple geometries, but its suitability for 3D complex geometries has not been proven so far. To verify the measurement results and compare both techniques, reference measurements are performed on an optical coordinate measuring machine (OCMM). The systematic errors and uncertainty results obtained show that the 3D Canny adapted method slightly lower systematic deviations and a more robust edge definition than the local threshold method for 3D complex micro-geometry dimensional measurements.

show abstract

Section: Introductionmentioning

confidence: 57%

Section: Introductionmentioning

confidence: 99%

Comparison of surface extraction techniques performance in computed tomography for 3D complex micro-geometry dimensional measurements

Torralba

Jiménez

Yagüe‐Fabra

et al. 2018

Int J Adv Manuf Technol

View full text Add to dashboard Cite

show abstract

“…In contrast to conventional X-ray studies (two-dimensional images) CT compiles a volumetric image of the specimen [67]. Beside fault detection, CT is also useable for three-dimensional geometrical form surveying [152]. By using micro experimental setups, in-situ measurements are feasible [120].…”

Section: Measurement Principles For Defect and Damage Detectionmentioning

confidence: 99%

Metal forming beyond shaping: Predicting and setting product properties

et al. 2015

View full text Add to dashboard Cite

“…Characterisation of a re-entrant surface using line-of-sight measurement instrumentation and using height map analysis may, depending upon the surface texture parameter evaluated, produce significant errors. X-ray computed tomography (CT), used in this study, has no such line-of-sight restrictions and has been used successfully for the measurement of internal surfaces [4,5], dimensions [6,7] and porosity [8]. CT data is true 3D data, consisting of (x, y, z) co-ordinate information.…”

Section: Introductionmentioning

confidence: 99%

Introduction of a Surface Characterization Parameter Sdrprime for Analysis of Re-entrant Features

et al. 2019

View full text Add to dashboard Cite

Producing components using metal additive manufacturing processes, such as powder bed fusion, presents manufacturing and measurement challenges, but also significant opportunities. The as-built surface may include overhanging (re-entrant) features not intentionally included in the design, but that aid in component functionality. In addition, the additive manufacturing process presents opportunities to design and manufacture re-entrant features intentionally. Re-entrant features increase the specific surface area and, in addition, produce mechanical locking to the surface. These re-entrant features may be intended to improve surface performance in areas such as biological cell attachment, coating adhesion, electrical capacitance and battery plate design, fluid flow and material cooling. Re-entrant features may prove difficult or impossible to measure and characterise using conventional line-of-sight surface metrology instrumentation, however the correct measurement of these surfaces may be vital for functional optimisation. X-ray computed tomography does have the ability to image internal and re-entrant features. This paper reports on the measurement of re-entrant features using X-ray computed tomography and the extraction of actual surface area information (including re-entrant surfaces) from sample additively manufactured surfaces. A proposed new surface texture parameter, Sdr prime , is discussed. This parameter is applicable to true 3D data, including re-entrant features, and is intended to relate directly to the component surface functional performance. The errors produced when using line-of-sight instruments and height map parameter generation per ISO 25178-2 to evaluate surfaces that include re-entrant features are discussed. Measurement results for electron beam melting and selective laser melting additively manufactured components, together with simulated structured surfaces, are presented.

show abstract

Computed Tomography as a Tool for Tolerance Verification of Industrial Parts

Cited by 29 publications

References 5 publications

Comparison of surface extraction techniques performance in computed tomography for 3D complex micro-geometry dimensional measurements

Comparison of surface extraction techniques performance in computed tomography for 3D complex micro-geometry dimensional measurements

Metal forming beyond shaping: Predicting and setting product properties

Introduction of a Surface Characterization Parameter Sdrprime for Analysis of Re-entrant Features

Contact Info

Product

Resources

About