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. (2024). Comparison of rigorous scattering models to accurately replicate the behaviour of scattered electromagnetic waves in optical surface metrology. Journal of Computational Physics, Article 113519. https://doi.org/10.1016/j.jcp.2024.113519
Dr SAMANTA PIANO's Outputs (9)
Applying machine learning to optical metrology: a review (2024)
Journal Article
Xue, R., Hooshmand, H., Isa, M., Piano, S., & K Leach, R. (2024). Applying machine learning to optical metrology: a review. Measurement Science and Technology, 36(1), Article 012002. https://doi.org/10.1088/1361-6501/ad7878This 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, USAIn 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.
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/en17143434The 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., …Gibson, I. (2024). Investigating the variation of particle distribution and surface texture of top surfaces based on build position in laser powder bed fusion. Procedia CIRP, 123, 446-451. https://doi.org/10.1016/j.procir.2024.05.078Quality 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, IrelandClose 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., …Su, R. (2024). Extracting focus variation data from coherence scanning interferometric measurements. Precision Engineering, 88, 699-706. https://doi.org/10.1016/j.precisioneng.2024.04.016Coherence 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., …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.63.4.044102Coherence 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.2024.114194Being 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.