CARMIGNATO, SIMONE
CARMIGNATO, SIMONE
Dipartimento di Tecnica e Gestione dei Sistemi Industriali - DTG
Laser powder bed fusion process optimization for the production of high-performance and efficient high-silicon steel electrical motor components
2025 Zanini, F.; Bonato, N.; Michieletto, D.; Alberti, L.; Carmignato, S.
Assessment of fiber orientation models predictability by comparison with X-ray µCT data in injection-molded short glass fiber-reinforced polyamide
2024 Oubellaouch, K.; Pelaccia, R.; Bonato, N.; Bettoni, N.; Carmignato, S.; Orazi, L.; Donati, L.; Reggiani, B.
CT measurement of contact surfaces and micro gaps in mono-material assemblies
2024 Null, Null; Zanini, Filippo; Null, Null; Carmignato, Simone
CT-Based Analysis of Position and Temperature Factors in LPBF Processes: Unraveling Dimensional Deviations and Porosity for Enhanced Manufacturing Insights
2024 Sanchez, Javier; Zanini, F.; Carmignato, S.; Santander, Ricardo; Pavan, Michele
Development of a multi-configuration support for the comparison of X-ray computed tomography and optical profilometry surface texture measurements
2024 Mioli, Filippo; Bonato, Nicolo; Carmignato, Simone; Savio, Enrico
Effect of the building orientation on additively manufactured copper alloy: Hydraulic performance of different surface roughness channels
2024 Favero, G.; Bonesso, M.; Dima, R.; Pepato, A.; Zanini, F.; Carmignato, S.; Mancin, S.
Electromagnetic Characterization of Silicon–Iron Additively Manufactured Cores for Electric Machines
2024 Michieletto, Daniele; Alberti, Luigi; Zanini, Filippo; Carmignato, Simone
Enabling X-ray computed tomography measurement of contact surfaces in mono-material assemblies and titanium dental implant systems
2024 Zanini, F.; Carmignato, S.
Experimental investigation on the accuracy of fast CT dimensional measurements using the Multi-Feature Check standard
2024 LINHARES FERNANDES, Thiago; Blazek, Pavel; Suppes, Alexander; Zanini, Filippo; Carmignato, Simone
Fatigue prediction for metallic additively manufactured lattice components using FCM based on average strain energy density approach
2024 De Biasi, R.; Oztoprak, O.; Zanini, F.; Carmignato, S.; Berto, F.; Kollmannsberger, S.; Benedetti, M.
Foreword to ASPE-euspen Summer Topical Meeting on Advancing Precision in Additive Manufacturing
2024 Taylor, J. S.; Fox, J. C.; Berez, J.; Blunt, L.; Bate, D. J.; Carmignato, S.; Carriere, P.; Cullinan, M. A.; Dewulf, W.; Evans, C. J.; Gockel, J.; Harrysson, O. L. A.; Hooper, P.; Jared, B. H.; Langelaar, M.; Lou, S.; Ludwick, S. J.; Oberschmidt, D.; Pedersen, D. B.; Peijnenburg, A. T.; Piano, S.; Rekawa, S.; Snow, Z.; Thompson, A.; Vrancken, B.; Witvrouw, A.; Zeidler, H.; Zhao, X.
INVESTIGATION ON THE USE OF MACHINE LEARNING AND X-RAY COMPUTED TOMOGRAPHY FOR LACK-OF-FUSION POROSITY PREDICTION
2024 Bonato, N.; Zanini, F.; Carmignato, S.
METROLOGY-OPTIMIZED BUILDING PLATE FOR METAL LASER POWDER BED FUSION
2024 Zanini, F.; Bonato, N.; Zanin, D.; Carmignato, S.
New experimental approach for local measurements of effective layer thickness, powder bed density and volumetric energy density to enhance metal laser powder bed fusion
2024 Zanini, F.; Bonato, N.; Carmignato, S.
New multi-function building plate for improving metal laser powder bed fusion by enhancing the alignment accuracy of in-process monitoring data, computed tomography measurements, and building volume geometry
2024 Zanini, F.; Bonato, N.; Carmignato, S.
Notch effect in tension-tension fatigue of short glass fibre reinforced polyphenylene sulfide composites
2024 Coppola, Filippo; Ricotta, Mauro; Bonato, Nicolò; Carmignato, Simone; Meneghetti, Giovanni
On the effect of material density in dimensional evaluations by X-ray computed tomography of metal-polymer multi-material parts
2024 Gallardo, D.; Diaz, L. -C.; Zanini, F.; Albajez, J. A.; Carmignato, S.; Yague-Fabra, J. A.
Predicting fatigue life of additively manufactured lattice structures using the image-based Finite Cell Method and average strain energy density
2024 De Biasi, R.; Oztoprak, O.; Zanini, F.; Carmignato, S.; Kollmannsberger, S.; Benedetti, M.
Prediction of spatter-related defects in metal laser powder bed fusion by analytical and machine learning modelling applied to off-axis long-exposure monitoring
2024 Bonato, N.; Zanini, F.; Carmignato, S.
Pure niobium manufactured by Laser-Based Powder Bed Fusion: influence of process parameters and supports on as-built surface quality
2024 Candela, S.; Rebesan, P.; De Bortoli, D.; Carmignato, S.; Zanini, F.; Candela, V.; Dima, R.; Pepato, A.; Weinmann, M.; Bettini, P.