Influence of roughness on surface scanning by means of a laser stripe system

Cuesta, E.; Rico, J.C.; Fernández, Pedro; Blanco, David; Valiño, G.

doi:10.1007/s00170-008-1794-9

Cited by 41 publications

(31 citation statements)

References 12 publications

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“…In [10], the influence of the ambient lighting to the quality of captured signal by charge-coupled device (CCD) sensor is confirmed and the dependency of the measurement from surface roughness of the component was pointed out. They suggested making measurements in absence of or limiting the ambient illumination.…”

Section: Introductionmentioning

confidence: 81%

“…The intensity of laser source is strictly dependent from the surface's roughness [10]. For surface with ISO roughness grade N1 (Ra=0.025 μm) to N11 (Ra=25 μm), the maximum laser intensity (who corresponds the highest amount of acquired data) is strongly related to the machining process generating that surface.…”

Section: Introductionmentioning

confidence: 99%

“…For surface with ISO roughness grade N1 (Ra=0.025 μm) to N11 (Ra=25 μm), the maximum laser intensity (who corresponds the highest amount of acquired data) is strongly related to the machining process generating that surface. Cuesta et al [10] proposed a table with suggested ranges of laser intensity for getting the maximum results from the measurements for different roughness rate and machining processes. For sheet metal deep drawing components, the recommended value for optimal laser intensity is about 20 % of full power of laser source.…”

Section: Introductionmentioning

confidence: 99%

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On the influence of scanning factors on the laser scanner-based 3D inspection process

Gerbino

Giudice

Staiano

et al. 2015

Int J Adv Manuf Technol

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3D inspection process is getting more and more interest for manufacturing industries as it helps to carefully check the expected quality of the released products. Much more attention is oriented to optical devices able to quickly capture the whole shape of the product providing many useful information on the process variability and the deliverability of the key characteristics linked to the quality of the product/process. Although the optical control of 3D scanners is mature enough, many factors may influence the quality of the scanned data. These factors may be strictly related to internal elements to the acquisition device, such as scanner resolution and accuracy, and external to it, such as proper selection of scanning parameters, ambient lighting and characteristics of the object surface being scanned (e.g. surface colour, glossiness, roughness, shape), as well as the sensor-to-surface relative position. For the 3D laser-based scanners, the most common on the market, it would be of great industrial interest to study some scanning factors mainly affecting the quality of the 3D surface acquisitions and provide users with guidelines in order to correctly set them so to increase the massive usage of these systems in the product inspection activities. In this context, by using a commercial triangulation 3D laser scanner, the effects of some scanning factors that may affect the measurement process were analysed in the present paper. Working on a sheet metal test part, more complex than the ones commonly used in laboratory and documented in the literature, the scanner-to-object relative orientation and the ambient lighting, as well as an internal scanner parameter, were tested. Through a Design of Experiments (DoE) approach, and setting root mean square error (RMSE) as response function, the outcomes of the tests mainly pointed out that the scanner-to-object relative orientation as well as its position within the field of view of the measurement device are the key factors mostly influencing the accuracy of the measurement process

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Section: Introductionmentioning

confidence: 81%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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On the influence of scanning factors on the laser scanner-based 3D inspection process

Gerbino

Giudice

Staiano

et al. 2015

Int J Adv Manuf Technol

View full text Add to dashboard Cite

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“…Its amplitude depends on various factors such as the surface quality or the sensor's image processing engine [16]. A measurement example presented in Section 2.2 shows the scanning noise at maximum 55 μm P-V (Peak-to-Valley), when the measured surface's actual roughness is smaller than Ra 0.1 μm.…”

Section: Introductionmentioning

confidence: 99%

On the limitation of dual-view triangulation in reducing the measurement error induced by the speckle noise in scanning operations

Ibaraki

Kitagawa

Kimura

et al. 2016

Int J Adv Manuf Technol

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A triangulation-based laser displacement sensor using the diffuse reflection light has a strong practical advantage in its robustness against the tilting of the object surface to the sensor's sensitive direction. On the other hand, it is often subject to higher-frequency noise-like measurement error in scanning operations. This error is caused by the movement of the speckle in the reflected laser beam spot with the scanning operation. This paper first discusses how the dual-view triangulation, using two image sensors aligned symmetrically about the laser beam axis, can reduce the scanning noise in principle. Then, its inherent limitation is discussed. Since different points on the target surface cast the specular reflection to each image sensor, the influence of the sensor's lateral movement cannot be canceled by comparing the reflected spot's displacement on each image sensor. This issue can be observed clearer when measuring a surface of a less random surface profile. It is experimentally validated.

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“…Given the number of potential issues, the challenge is to understand measurement uncertainty. Overall, contact measurement methods can be complemented or partially replaced by non-contact measurements depending on the required accuracy and surface properties [8,11]. Therefore, the utilisation of CMMs is of particular interest due to a significant investment required and the temperaturecontrolled working area.…”

Section: Introductionmentioning

confidence: 99%

Evaluating the capability of laser scanning to measure an automotive artefact: a comparison study of touch trigger probe and laser-scanning

Kiraci

Turley

Attridge

et al. 2016

IJPQM

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The increasing interest towards intelligent systems has led to a demand for the development of zero-defect strategies, with a paradigm shift from off-line and dedicated to inline metrology with integrated robotic systems. However, a major barrier preventing the systematic uptake of in-line metrology is the lack of evaluation of system capability in terms of accuracy, repeatability and measurement time, when compared to the well-established coordinate measuring machine (CMM). In this study, a robotic Laser Radar (LR) solution is assessed in the context of automotive dimensional inspection of Body-In-White (BIW) applications. The objective is both to understand the effect of robot re-positioning error on measurement accuracy and repeatability and to compare measurement results against a CMM. Eighty-one surface points, six edge points, twenty-five holes and sixteen slots were selected from an industry standard measurement plan. Whilst LR exhibits a lower measurement accuracy than twin-column CMM, its repeatability is well within the specification limits for body shell quality inspection. Therefore, as a real-time in-line metrology tool, it is a genuine prospect to exploit. This research makes a significant contribution toward in-line metrology for dimensional inspection, for automotive application, for rapid detection and for correction of assembly defects in real time, with subsequent reduction of scrap and number of repairs/re-works.

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Influence of roughness on surface scanning by means of a laser stripe system

Cited by 41 publications

References 12 publications

On the influence of scanning factors on the laser scanner-based 3D inspection process

On the influence of scanning factors on the laser scanner-based 3D inspection process

On the limitation of dual-view triangulation in reducing the measurement error induced by the speckle noise in scanning operations

Evaluating the capability of laser scanning to measure an automotive artefact: a comparison study of touch trigger probe and laser-scanning

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