Optical metrology for digital manufacturing: a review

Catalucci, Sofia; Thompson, Adam; Piano, Samanta; Branson, David T.; Leach, Richard

doi:10.1007/s00170-022-09084-5

Cited by 39 publications

(13 citation statements)

References 137 publications

(240 reference statements)

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“…Applications in the medical sectors, as well as in small scale metrology (particularly manufacturing of electronics and semiconductors), are considered to be outside of the scope of this review, as these areas are broad enough to constitute additional review works in their own right. The role of optical metrology specifically in the context of digital manufacturing is discussed elsewhere [78], in which the authors have reported numerous examples of optical measurement solutions applied into different manufacturing environments.…”

Section: State Of the Art In Smart Optical Measurement Solutionsmentioning

confidence: 99%

Smart optical coordinate and surface metrology

Catalucci

Thompson

Eastwood

et al. 2022

Meas. Sci. Technol.

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Manufacturing has recently experienced increased adoption of optimised and fast solutions for checking product quality during fabrication, allowing for manufacturing times and costs to be significantly reduced. Due to the integration of machine learning algorithms, advanced sensors and faster processing systems, smart instruments can autonomously plan measurement pipelines, perform decisional tasks and trigger correctional actions as required. In this paper, we summarise the state of the art in smart optical metrology, covering the latest advances in integrated intelligent solutions in optical coordinate and surface metrology, respectively for the measurement of part geometry and surface texture. Within this field, we include the use of a priori knowledge and implementation of machine learning algorithms for measurement planning optimisation. We also cover the development of multi-sensor and multi-view instrument configurations to speed up the measurement process, as well as the design of novel feedback tools for measurement quality evaluation.

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Section: State Of the Art In Smart Optical Measurement Solutionsmentioning

confidence: 99%

Smart optical coordinate and surface metrology

Catalucci

Thompson

Eastwood

et al. 2022

Meas. Sci. Technol.

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“…In recent years, the role of manufacturing metrology has significantly changed towards in-process monitoring where all relevant knowledge regarding the quality of a workpiece is obtained while it is being manufactured [ 1 ]. Such a closed-loop manufacturing process can increase production performance, reduce costs, and improve product quality through the combination of digital technologies, manufacturing, and measuring operations based on inspection and consumer feedback.…”

Section: Introductionmentioning

confidence: 99%

Damped Cantilever Microprobes for High-Speed Contact Metrology with 3D Surface Topography

Fahrbach

Nyang’au

et al. 2023

Sensors

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We addressed the coating 5 mm-long cantilever microprobes with a viscoelastic material, which was intended to considerably extend the range of the traverse speed during the measurements of the 3D surface topography by damping contact-induced oscillations. The damping material was composed of epoxy glue, isopropyl alcohol, and glycerol, and its deposition onto the cantilever is described, as well as the tests of the completed cantilevers under free-oscillating conditions and in contact during scanning on a rough surface. The amplitude and phase of the cantilever’s fundamental out-of-plane oscillation mode was investigated vs. the damping layer thickness, which was set via repeated coating steps. The resonance frequency and quality factor decreased with the increasing thickness of the damping layer for both the free-oscillating and in-contact scanning operation mode, as expected from viscoelastic theory. A very low storage modulus of E′≈100kPa, a loss modulus of E″≈434kPa, and a density of ρ≈1.2gcm−3 were yielded for the damping composite. Almost critical damping was observed with an approximately 130 µm-thick damping layer in the free-oscillating case, which was effective at suppressing the ringing behavior during the high-speed in-contact probing of the rough surface topography.

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“…However, manufacturing is changing. Instead of the old ways, it now utilizes knowledge and digital technology to share information and connect systems in all parts of production 4,5 . The conventional method of manually collecting and inputting measurement data into Computer Numerical Control (CNC) machines for error compensation has proven to be time-consuming and inefficient 6,7 .…”

Section: Introductionmentioning

confidence: 99%