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Professor SAMANTA PIANO's Outputs (71)

Characterising and propagating the sources of error and uncertainty in the optical measurement of gears using designed experiments (2025)
Journal Article
Sexton, D. G., Catalucci, S., Sharpe, A., Frazer, R., & Piano, S. (2025). Characterising and propagating the sources of error and uncertainty in the optical measurement of gears using designed experiments. Measurement Science and Technology, 36(6), Article 065014. https://doi.org/10.1088/1361-6501/addd40

In recent years, the growth of optical techniques has introduced the possibility of allowing several alternative methods for non-contact gear measurement to be utilised. Optical methods can offer many advantages over tactile, such as the potential to... Read More about Characterising and propagating the sources of error and uncertainty in the optical measurement of gears using designed experiments.

Framework for uncertainty evaluation in optical surface topography measurement using a virtual instrument (2025)
Journal Article
Hooshmand, H., Pappas, A., Isa, M. A., Su, R., Haitjema, H., Piano, S., & Leach, R. (2025). Framework for uncertainty evaluation in optical surface topography measurement using a virtual instrument. Measurement, 253(Part D), Article 117604. https://doi.org/10.1016/j.measurement.2025.117604

Uncertainty evaluation in the measurement of surfaces with complex topography using optical techniques remains a challenge due to the complex interaction between light and the surfaces. The ISO 25178 part 600 specification standard simplifies uncerta... Read More about Framework for uncertainty evaluation in optical surface topography measurement using a virtual instrument.

Virtual Instrument for a Multi-illumination Dome System (2025)
Presentation / Conference Contribution
Khanesar, M. A., Corcoran, H., MacDonald, L., Pawar, V., Robson, S., & Piano, S. (2025, April). Virtual Instrument for a Multi-illumination Dome System. Paper presented at ISPRS Geospatial Week (GSW 2025), Dubai, UAE

A virtual instrument has been developed to study a multi-illumination dome system on digital objects using a camera mounted on top of the dome. The reliability of the blender environment is investigated for simulating the functions of components of t... Read More about Virtual Instrument for a Multi-illumination Dome System.

Enhancing Positional Accuracy of Mechanically Modified Industrial Robots Using Laser Trackers (2025)
Journal Article
Khanesar, M. A., Karaca, A., Yan, M., Isa, M., Piano, S., & Branson, D. (2025). Enhancing Positional Accuracy of Mechanically Modified Industrial Robots Using Laser Trackers. Robotics, 14(4), Article 42. https://doi.org/10.3390/robotics14040042

Highly accurate positioning of industrial robots is crucial to performing industrial operations with high quality. This paper presents a mechanical modification to an industrial robot aiming at enhancing the system actuation resolution, thereby enhan... Read More about Enhancing Positional Accuracy of Mechanically Modified Industrial Robots Using Laser Trackers.

Three-dimensional runout characterisation for rotationally symmetric components (2025)
Journal Article
Tompkins, C. G., Todhunter, L. D., Gottmann, H., Rettig, C., Schmitt, R., Wacker, J., & Piano, S. (2025). Three-dimensional runout characterisation for rotationally symmetric components. Communications Engineering, 4(1), Article 19. https://doi.org/10.1038/s44172-025-00354-0

Rotationally symmetric components are ubiquitous to modern devices, and their precision manufacture is necessary to keep costs and manufacture time down, as well as reduce waste and possibly hazardous component failure. Here we present a potential up... Read More about Three-dimensional runout characterisation for rotationally symmetric components.

[SUBMITTED] A Complete Re-evaluation of the Accuracy of the Standardised Roundness Evaluation Methods (2025)
Journal Article
TOMPKINS, C., & PIANO, S. [SUBMITTED] A Complete Re-evaluation of the Accuracy of the Standardised Roundness Evaluation Methods. Manuscript submitted for publication

Roundness evaluation is the process of measuring how well an object conforms to a circle, a ubiquitous process in the manufacture of any rotating part, and the evaluation of rounded objects throughout science and engineering. This evaluation is a sta... Read More about [SUBMITTED] A Complete Re-evaluation of the Accuracy of the Standardised Roundness Evaluation Methods.

Event-based chessboard scanning profilometry (2024)
Journal Article
Bao, Q., Ren, D., He, F., Piano, S., Zhang, C., & Zhao, H. (2025). Event-based chessboard scanning profilometry. Optics and Lasers in Engineering, 186, Article 108765. https://doi.org/10.1016/j.optlaseng.2024.108765

Event-based structured light profilometry shows great promise for three-dimensional (3D) shape measurement. However, existing methods face limitations in sampling efficiency. To address these limitations, an event-based chessboard scanning method for... Read More about Event-based chessboard scanning profilometry.

Demanufacturing of thermoplastic composites: Small scale experiments exploring ply separation and recovery (2024)
Journal Article
Parsons, A. J., Johnson, M. S., Piano, S., & De Focatiis, D. S. (2025). Demanufacturing of thermoplastic composites: Small scale experiments exploring ply separation and recovery. Composites Part A: Applied Science and Manufacturing, 190, Article 108626. https://doi.org/10.1016/j.compositesa.2024.108626

Thermoplastic composites are intrinsically suited to recycling, but processes are poorly realised. Methods applied to thermosets are energy intensive, resulting in fibre downgrading and matrix loss. With digital manufacturing and data intertwining, t... Read More about Demanufacturing of thermoplastic composites: Small scale experiments exploring ply separation and recovery.

Comparison of rigorous scattering models to accurately replicate the behaviour of scattered electromagnetic waves in optical surface metrology (2024)
Journal Article
Hooshmand, H., Pahl, T., Hansen, P.-E., Fu, L., Birk, A., Karamehmedović, M., Lehmann, P., Reichelt, S., Leach, R., & Piano, S. (2025). Comparison of rigorous scattering models to accurately replicate the behaviour of scattered electromagnetic waves in optical surface metrology. Journal of Computational Physics, 521, Article 113519. https://doi.org/10.1016/j.jcp.2024.113519

Rigorous scattering models are based on Maxwell's equations and can provide high-accuracy solutions to model electromagnetic wave scattering from objects. Being able to calculate the scattered field from any surface geometry and considering the effec... Read More about Comparison of rigorous scattering models to accurately replicate the behaviour of scattered electromagnetic waves in optical surface metrology.

Comparison of point cloud densification from multi-view stereo and 3D Gaussian splatting in industrial photogrammetry (2024)
Presentation / Conference Contribution
Yang, M. H., Isa, M. A., Thompson, A., Branson III, D. T., & Piano, S. (2024, October). Comparison of point cloud densification from multi-view stereo and 3D Gaussian splatting in industrial photogrammetry. Presented at 20th International Conference on Precision Engineering (ICPE 2024), Sendai, Japan

Photogrammetry is increasingly popular in the modern manufacturing industry, for performing non-contact fast optical measurements of manufactured components. During photogrammetry, the goal is to obtain accurate three-dimensional reconstructions of a... Read More about Comparison of point cloud densification from multi-view stereo and 3D Gaussian splatting in industrial photogrammetry.

Applying machine learning to optical metrology: a review (2024)
Journal Article
Xue, R., Hooshmand, H., Isa, M., Piano, S., & Leach, R. (2025). Applying machine learning to optical metrology: a review. Measurement Science and Technology, 36(1), Article 012002. https://doi.org/10.1088/1361-6501/ad7878

This literature review investigates the integration of machine learning (ML) into optical metrology, unveiling enhancements in both efficiency and effectiveness of measurement processes. With a focus on phase demodulation, unwrapping, and phase-to-he... Read More about Applying machine learning to optical metrology: a review.

Evaluating approximate and rigorous scattering models in virtual coherence scanning interferometry for improved surface topography measurement (2024)
Presentation / Conference Contribution
Hooshmand, H., Isa, M. A., Nikolaev, N., Piano, S., & Leach, R. (2024, August). Evaluating approximate and rigorous scattering models in virtual coherence scanning interferometry for improved surface topography measurement. Presented at Optical Manufacturing and Testing 2024, San Diego, USA

In optical metrology, the growing demand for accurate measurement technologies is driven by the increasing applications of three-dimensional (3D) microscopy and imaging. The advancement of these technologies relies on the modelling of the measurement... Read More about Evaluating approximate and rigorous scattering models in virtual coherence scanning interferometry for improved surface topography measurement.

Design and Construction of a Custom Measurement Device (2024)
Presentation / Conference Contribution
Nasr Azadani, S., Tompkins, C., & Piano, S. (2024, September). Design and Construction of a Custom Measurement Device. Poster presented at 3DMC (3D Metrology) 2024, Loughborough - United Kingdom

This study explores the next step in customised measurement instruments by reconsidering the assumption that confocal measurement devices cannot be manufactured using consumer-grade equipment. Historically, these devices have required specialised man... Read More about Design and Construction of a Custom Measurement Device.

Interval Type-2 Fuzzy Logic Control of Linear Stages in Feedback-Error-Learning Structure Using Laser Interferometer (2024)
Journal Article
Khanesar, M. A., Yan, M., Karaca, A., Isa, M., Piano, S., & Branson, D. (2024). Interval Type-2 Fuzzy Logic Control of Linear Stages in Feedback-Error-Learning Structure Using Laser Interferometer. Energies, 17(14), Article 3434. https://doi.org/10.3390/en17143434

The output processer of interval type-2 fuzzy logic systems (IT2FLSs) is a complex operator which performs type-reduction plus defuzzification (TR+D) tasks. In this paper, a complexity-reduced yet high-performance TR+D for IT2FLSs based on Maclaurin... Read More about Interval Type-2 Fuzzy Logic Control of Linear Stages in Feedback-Error-Learning Structure Using Laser Interferometer.

Investigating the variation of particle distribution and surface texture of top surfaces based on build position in laser powder bed fusion (2024)
Presentation / Conference Contribution
Sithole, C., Hooshmand, H., Todhunter, L., Thompson, A., Hoekstra, S., Jalalian, A., Piano, S., & Gibson, I. (2024, May). Investigating the variation of particle distribution and surface texture of top surfaces based on build position in laser powder bed fusion. Presented at 7th CIRP Conference on Surface Integrity, Bremen, Germany

Quality analysis of additively manufactured (AM) surfaces is complex, yet critical for determining the functionality of parts and technology improvement. To accurately assess the quality of AM parts, it is necessary to consider the industrial applica... Read More about Investigating the variation of particle distribution and surface texture of top surfaces based on build position in laser powder bed fusion.

Enhancing single camera calibration results using artificial bee colony optimisation within a virtual environment (2024)
Presentation / Conference Contribution
Khanesar, M. A., Todhunter, L., Pawar, V., Corcoran, H., MacDonald, L., Robson, S., & Piano, S. (2024, June). Enhancing single camera calibration results using artificial bee colony optimisation within a virtual environment. Presented at euspen’s 24th International Conference & Exhibition, Dublin, IE, June 2024, Dublin, Ireland

Close range photogrammetry is among the top candidates for non-contact metrology in high precision applications. It is frequently used within industrial environments for high precision measurement, automation, and control tasks. When using off-the-sh... Read More about Enhancing single camera calibration results using artificial bee colony optimisation within a virtual environment.

Extracting focus variation data from coherence scanning interferometric measurements (2024)
Journal Article
Liu, J., Hooshmand, H., Piano, S., Leach, R., Coupland, J., Ren, M., Zhu, L., & Su, R. (2024). Extracting focus variation data from coherence scanning interferometric measurements. Precision Engineering, 88, 699-706. https://doi.org/10.1016/j.precisioneng.2024.04.016

Coherence scanning interferometry (CSI), based on the principle of interference, can achieve sub-nanometer precision for height measurements. On the other hand, focus variation microscopy (FVM), combining the small depth of field of the objective, is... Read More about Extracting focus variation data from coherence scanning interferometric measurements.

Comparison of Fourier optics-based methods for modeling coherence scanning interferometry (2024)
Journal Article
Hooshmand, H., Pahl, T., de Groot, P. J., Lehmann, P., Pappas, A., Su, R., Leach, R., & Piano, S. (2024). Comparison of Fourier optics-based methods for modeling coherence scanning interferometry. Optical Engineering, 63(4), Article 044102. https://doi.org/10.1117/1.OE.63.4.044102

Coherence scanning interferometry (CSI) is a widely used optical method for surface topography measurement of industrial and biomedical surfaces. The operation of CSI can be modeled using approximate physics-based approaches with minimal computationa... Read More about Comparison of Fourier optics-based methods for modeling coherence scanning interferometry.

Assessing the spatial distribution of positional error associated to dense point cloud measurements using regional Gaussian random fields (2024)
Journal Article
Wang, Y., Catalucci, S., Senin, N., & Piano, S. (2024). Assessing the spatial distribution of positional error associated to dense point cloud measurements using regional Gaussian random fields. Measurement, 227, Article 114194. https://doi.org/10.1016/j.measurement.2024.114194

Being able to assess the amount of uncertainty locally associated to dense point clouds generated by measurement can help investigate the relations between the metrological performance of a chosen measuring technology, and the local geometric and sur... Read More about Assessing the spatial distribution of positional error associated to dense point cloud measurements using regional Gaussian random fields.