Volgen
Marco Grasso
Marco Grasso
Department of Mechanical Engineering, Politecnico di Milano
Geverifieerd e-mailadres voor polimi.it
Titel
Geciteerd door
Geciteerd door
Jaar
Process defects and in situ monitoring methods in metal powder bed fusion: a review
M Grasso, BM Colosimo
Measurement Science and Technology 28 (4), 044005, 2017
7612017
In-process monitoring of selective laser melting: spatial detection of defects via image data analysis
M Grasso, V Laguzza, Q Semeraro, BM Colosimo
Journal of Manufacturing Science and Engineering 139 (5), 051001, 2017
2422017
On the use of spatter signature for in-situ monitoring of Laser Powder Bed Fusion
G Repossini, V Laguzza, M Grasso, BM Colosimo
Additive Manufacturing 16, 35-48, 2017
2312017
In situ monitoring of selective laser melting of zinc powder via infrared imaging of the process plume
M Grasso, AG Demir, B Previtali, BM Colosimo
Robotics and Computer-Integrated Manufacturing 49, 229-239, 2018
2142018
In-situ measurement and monitoring methods for metal powder bed fusion: an updated review
M Grasso, A Remani, A Dickins, BM Colosimo, RK Leach
Measurement Science and Technology 32 (11), 112001, 2021
1322021
Characterization of in-situ measurements based on layerwise imaging in laser powder bed fusion
F Caltanissetta, M Grasso, S Petrò, BM Colosimo
Additive Manufacturing 24, 183-199, 2018
1042018
Spatially weighted PCA for monitoring video image data with application to additive manufacturing
BM Colosimo, M Grasso
Journal of Quality Technology 50 (4), 391-417, 2018
782018
Profile monitoring via sensor fusion: the use of PCA methods for multi-channel data
M Grasso, BM Colosimo, M Pacella
International Journal of Production Research 52 (20), 6110-6135, 2014
592014
Profile monitoring of probability density functions via simplicial functional PCA with application to image data
A Menafoglio, M Grasso, P Secchi, BM Colosimo
Technometrics 60 (4), 497-510, 2018
542018
A statistical learning method for image-based monitoring of the plume signature in laser powder bed fusion
M Grasso, BM Colosimo
Robotics and Computer-Integrated Manufacturing 57, 103-115, 2019
522019
Data fusion methods for statistical process monitoring and quality characterization in metal additive manufacturing
M Grasso, F Gallina, BM Colosimo
Procedia Cirp 75, 103-107, 2018
492018
Direct laser additive manufacturing of high performance oxide ceramics: A state-of-the-art review
S Pfeiffer, K Florio, D Puccio, M Grasso, BM Colosimo, CG Aneziris, ...
Journal of the European Ceramic Society 41 (13), 6087-6114, 2021
462021
Automated layerwise detection of geometrical distortions in laser powder bed fusion
L Pagani, M Grasso, PJ Scott, BM Colosimo
Additive Manufacturing 36, 101435, 2020
462020
Real-time detection of clustered events in video-imaging data with applications to additive manufacturing
H Yan, M Grasso, K Paynabar, BM Colosimo
IISE Transactions 54 (5), 464-480, 2022
452022
A data-driven method to enhance vibration signal decomposition for rolling bearing fault analysis
M Grasso, S Chatterton, P Pennacchi, BM Colosimo
Mechanical Systems and Signal Processing 81, 126-147, 2016
452016
A cost model for the economic evaluation of in-situ monitoring tools in metal additive manufacturing
BM Colosimo, S Cavalli, M Grasso
International Journal of Production Economics 223, 107532, 2020
412020
Using curve-registration information for profile monitoring
M Grasso, A Menafoglio, BM Colosimo, P Secchi
Journal of Quality Technology 48 (2), 99-127, 2016
342016
A comparison study of distribution‐free multivariate SPC methods for multimode data
M Grasso, BM Colosimo, Q Semeraro, M Pacella
Quality and Reliability Engineering International 31 (1), 75-96, 2015
282015
In-situ monitoring in L-PBF: Opportunities and challenges
BM Colosimo, M Grasso
Procedia CIRP 94, 388-391, 2020
262020
Penelope: A Novel Prototype for In Situ Defect Removal in LPBF
BM Colosimo, E Grossi, F Caltanissetta, M Grasso
Jom 72, 1332-1339, 2020
252020
Het systeem kan de bewerking nu niet uitvoeren. Probeer het later opnieuw.
Artikelen 1–20