Performance evaluation of a three dimensional laser scanner for industrial applications

Manorathna, Prasad; Ogun, Phil; Marimuthu, Sundar; Justham, Laura; Jackson, Michael R.

doi:10.1109/iciafs.2014.7069534

Cited by 4 publications

(1 citation statement)

References 5 publications

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“…Hence, it becomes imperative to optimize scanner parameters for accurate scanning. Manorathna et al 8 evaluated the performance of the laser line scanner under different operating conditions to minimize any unambiguity in measurements. Secil et al 9 proposed a framework for data collection and visualization of geometric objects using a robot and laser profile sensor.…”

Section: Introductionmentioning

confidence: 99%

An integrated image processing approach for 3D scanning and micro-defect detection

Birla

Alya

Singh

2022

Journal of Micromanufacturing

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Restoration of high-value components via additive manufacturing requires autonomous surface scanning and defect identification. The 3D free-form surface can be reconstructed with a point cloud obtained from the scanning. Laser line triangulation-based surface scanning is a promising method for generating a 3D point cloud of the component surface. In this article, a robotic defect scanning system developed using py_openshowvar, an open-source cross-platform communication interface is presented. For effective scanning of micro-scale features with minimal noise, it is crucial to optimize the scanning parameters. The scanner parameters such as exposure time and stand-off distance have been optimized for accurate feature detection. After selecting optimal scanning parameters, a generic algorithm is presented for generating a scanning path for automatic scanning of the 3D parts. Surfaces with pre-fabricated micro-defects are automatically scanned using this algorithm, and an integrated image-processing-based defect identification technique is presented. The geometries obtained from the presented technique were validated using focus variation microscopy, and the results are in good agreement with actual defect geometry, and the measurement error is below 9%.

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Section: Introductionmentioning

confidence: 99%

An integrated image processing approach for 3D scanning and micro-defect detection

Birla

Alya

Singh

2022

Journal of Micromanufacturing

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Measurement and correction of the slope angle of flat surfaces digitized by a conoscopic holography system

Valiño

Zapico

Fernández

et al. 2016

Precision Engineering

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Conoscopic Holography (CH) is a non-contact interferometric technique used in surface digitizing. Similarly to other laser techniques it is influenced by the optical behaviour of the part surface and the conditions during scanning (geometry, strategy, etc.). In this work, a CH system and a touch probe (TP) integrated in a CMM were used to analyse the CH behaviour for measuring the slope angle of flat surfaces in inspection tasks. For this purpose, several digitizing tests were performed with both sensors on a square specimen under different slope angles. The tests were performed for two different orientations of the laser spot as well as at three different positions within the sensor depth of field (DOF). The specimen angles determined by each sensor were compared to each other and the difference (slope deviation) was used as an indicator of the CH behaviour. Considering the results, some recommendations were provided for digitizing sloped flat surfaces with the CH sensor and it was also developed a model to predict and compensate the measurement deviations of this sensor with regard to the TP.

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IoT-enabled Smart Factory Visibility and Traceability Using Laser-scanners

Zhong

Wang

2017

Procedia Manufacturing

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Performance evaluation of a three dimensional laser scanner for industrial applications

Cited by 4 publications

References 5 publications

An integrated image processing approach for 3D scanning and micro-defect detection

An integrated image processing approach for 3D scanning and micro-defect detection

Measurement and correction of the slope angle of flat surfaces digitized by a conoscopic holography system

IoT-enabled Smart Factory Visibility and Traceability Using Laser-scanners

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