2024
Process Monitoring from Industry 2.0 to Industry 4.0: Insights into Research and Practice
Colosimo, B. M., Jones-Farmer, L. A., Megahed, F. M., Paynabar, K., Ranjan, C., & Woodall, W. H.
Technometrics (2024): 1-24.
A techno-economic approach for decision-making in metal additive manufacturing: metal extrusion versus single and multiple laser powder bed fusion.
Parenti, P., Puccio, D., Semeraro, Q., & Colosimo, B. M.
Progress in Additive Manufacturing, 9(2), 185-210
https://link.springer.com/article/10.1007/s40964-023-00442-7
A review of the current state-of-the-art on in situ monitoring in electron beam powder bed fusion
Grasso, M., & Colosimo, B. M.
Progress in Additive Manufacturing (2024): 1-18.
https://link.springer.com/article/10.1007/s40964-024-00576-2
3D-printed boluses for radiotherapy: influence of geometrical and printing parameters on dosimetric characterization and air gap evaluation
Gugliandolo, S. G., Pillai, S. P., Rajendran, S., Vincini, M. G., Pepa, M., Pansini, F., … & Colosimo, B. M.
Radiological Physics and Technology (2024): 1-13
https://link.springer.com/article/10.1007/s12194-024-00782-1
Zwitterionic nanoparticles for thermally activated drug delivery in hyperthermia cancer treatment
Colli, C., Masi, I., Jacchetti, E., Santoni, S., Sponchioni, M., Colosimo, B. M., … & Moscatelli, D.
Nanoscale (2024)
https://pubs.rsc.org/en/content/articlelanding/2024/nr/d4nr00723a
A new solution for in situ monitoring of shape fidelity in extrusion-based bioprinting via thermal imaging
Gugliandolo, S. G., Prioglio, E., Moscatelli, D., & Colosimo, B.M.
International Journal of Bioprinting NA (2024): 1-14
Modeling spatial point processes in video-imaging via Ripley’s K-function: an application to spatter analysis in additive manufacturing
Colosimo, B. M., Pagani, L., & Grasso, M.
Journal of Intelligent Manufacturing (2024) 35(1), 429-447
https://link.springer.com/article/10.1007/s10845-022-02055-3
2023
In-situ Printability Maps (IPM): A new approach for in-situ printability assessment with application to extrusion-based bioprinting
Zanderigo, G., Bracco, F., Semeraro, Q., & Colosimo, B. M.
Bioprinting (2023), 36, e00320
Additive manufacturing in the new space economy: Current achievements and future perspectives
Ghidini, T., Grasso, M., Gumpinger, J., Makaya, A., & Colosimo, B. M.
Progress in Aerospace Sciences (2023): 100959
Robust functional ANOVA with application to additive manufacturing
Centofanti, F., Colosimo, B. M., Grasso, M. L., Menafoglio, A., Palumbo, B., & Vantini, S.
Journal of the Royal Statistical Society Series C: Applied Statistics, 72(5), 1210-1234
Advancing bovine in vitro fertilization through 3D printing: the effect of the 3D printed materials
Belda-Perez, R., Heras, S., Cimini, C., Romero-Aguirregomezcorta, J., Valbonetti, L., Colosimo, A., … & Coy, P.
Frontiers in Bioengineering and Biotechnology, 11, 1260886
In-situ monitoring of image texturing via random forests and clustering with applications to additive manufacturing
Caltanissetta, F., Bertoli, L., & Colosimo, B. M.
IISE Transactions (2023): 1-15
https://www.tandfonline.com/doi/abs/10.1080/24725854.2023.2257255
The data that support the findings of this study are openly available in figshare at https://doi.org/10.6084/m9.figshare.24042891.v1
3D bioprinting in microgravity: opportunities, challenges, and possible applications in space
Van Ombergen, A., Chalupa‐Gantner, F., Chansoria, P., Colosimo, B. M., Costantini, M., Domingos, M., … & Gelinsky, M.
Advanced healthcare materials, 12(23), 2300443
https://onlinelibrary.wiley.com/doi/full/10.1002/adhm.202300443
Cooled pads with bioinspired gyroid lattice for tilting pad journal bearings: Experimental validation of numerical model for heat transfer
Dassi, L., Chatterton, S., Parenti, P., Vania, A., Colosimo, B. M., Pennacchi, P.
Tribology International 184 (2023): 108448
Open data for open science in Industry 4.0: In-situ monitoring of quality in additive manufacturing
Gronle, M., Grasso, M., Granito, E., Schaal, F., & Colosimo, B. M.
Journal of Quality Technology, 55(2), 253-265
https://www.tandfonline.com/doi/full/10.1080/00224065.2022.2106910
All data are available at https://www.ic.polimi.it/open-data-challenge/
A tensor‐based hierarchical process monitoring approach for anomaly detection in additive manufacturing
Yang, W., Grasso, M., Colosimo, B. M., & Paynabar, K.
Quality and Reliability Engineering International, 39(2), 630-650.
A computational model of cell viability and proliferation of extrusion-based 3D-bioprinted constructs during tissue maturation process
Gironi, P., Petraro, L., Santoni, S., Dedé, L., & Colosimo, B. M.
International Journal of Bioprinting 9.4 (2023).
2022
The intelligent recoater: A new solution for in-situ monitoring of geometric and surface defects in powder bed fusion
M. Bugatti and B. M. Colosimo
Additive Manufacturing Letters, Volume 3, 2022
Effect of overhanging surfaces on the evolution of substrate topography and internal defects formation in laser powder bed fusion
M. Bugatti, Q. Semeraro, and B. M. Colosimo
Journal of Manufacturing Processes, vol. 77, no. November 2021, pp. 588–606
Statistical modeling and monitoring of geometrical deviations in complex shapes with application to additive manufacturing
Scimone, R., Taormina, T., Colosimo, B. M., Grasso, M., Menafoglio, A., & Secchi, P.
Technometrics, 64(4), 437-456.
https://www.tandfonline.com/doi/abs/10.1080/00401706.2021.1961870
In-situ monitoring of material extrusion processes via thermal videoimaging with application to big area additive manufacturing (baam)
Caltanissetta, F., Dreifus, G., Hart, A. J., & Colosimo, B. M.
Additive Manufacturing 58 (2022): 102995
Complex geometries in additive manufacturing: A new solution for lattice structure modeling and monitoring
Colosimo, B. M., Grasso, M., Garghetti, F., & Rossi, B.
Journal of Quality Technology, 54(4), 392-414
https://www.tandfonline.com/doi/full/10.1080/00224065.2021.1926377
Biotechnological and technical challenges related to cultured meat production
Lanzoni, D., Bracco, F., Cheli, F., Colosimo, B. M., Moscatelli, D., Baldi, A., … & Giromini, C.
Applied Sciences, 12(13), 6771
A novel method for in-process inspection of lattice structures via in-situ layerwise imaging
Colosimo, B. M., Garghetti, F., Pagani, L., & Grasso, M
Manufacturing Letters 32 (2022): 67-72
Image based statistical process monitoring via partial first order stochastic dominance
Tsiamyrtzis, P., Grasso, M. L. G., & Colosimo, B. M.
Quality Engineering, 34(1), 96-124
https://www.tandfonline.com/doi/abs/10.1080/08982112.2021.2008974
The effect of energy density and porosity structure on tensile properties of 316L stainless steel produced by laser powder bed fusion
S. Cacace, L. Pagani, B. M. Colosimo, and Q. Semeraro
Progress in Additive Manufacturing, vol. c, no. 0123456789
A novel paradigm for feedback control in LPBF: layer-wise correction for overhang structures
E. Vasileska, A. G. Demir, B. M. Colosimo, and B. Previtali
Advanced Manufacturing
Predicting build density in L-PBF through in-situ analysis of surface topography using powder bed scanner technology
Q. Lu, M. Grasso, T. P. Le, and M. Seita
Additive Manufacturing, vol. 51, p. 102626
Compression Behavior of EBM Printed Auxetic Chiral Structures
TsK. Gunaydin, H. S. Türkmen, A. Airoldi, M. Grasso, G. Sala, and A. M. Grande
Materials (Basel), vol. 15, no. 4, pp. 1–21
Real-time detection of clustered events in video-imaging data with applications to additive manufacturing
H. Yan, M. Grasso, K. Paynabar, and B. M. Colosimo
IISE Transactions, vol. 54, no. 5, pp. 464–480
Towards real-time in-situ monitoring of hot-spot defects in L-PBF: a new classification-based method for fast video-imaging data analysis
Bugatti, M., Colosimo, B.M.
Journal of Intellingent Manufacturing, vol. 33, no. 1, pp. 293–309, 2022
Enabling multi-material gradient structure in laser powder bed fusion
A. G. Demir, J. Kim, F. Caltanissetta, A. J. Hart, C. C. Tasan, B. Previtali and B. M. Colosimo
Journal of Materials Processing Technologies, vol. 301
A new solution for assessing the printability of 17-4 PH gyroids produced via extrusion-based metal AM
P. Parenti, D. Puccio, B. M. Colosimo, and Q. Semeraro
Journal of Manufacturing Processes, vol. 74, no. January, pp. 557–572
3D bioprinting: current status and trends—a guide to the literature and industrial practice
S. Santoni, S. G. Gugliandolo, M. Sponchioni, D. Moscatelli, and B. M. Colosimo
Bio-Design Manufacturing, vol. 5, no. 1, pp. 14–42
2021
Image based Statistical Process Monitoring via Partial
First Order Stochastic Dominance
Tsiamyrtzis, P., Grasso, M., Colosimo, B.M.
Quality Engineering, vol. 34, no. 1, pp. 96–124
Available Dataset:
Characterisation of freeform, structured surfaces in T-spline spaces and its applications
J. Wang, R. Zou, B. M. Colosimo, W. Lu, L. Xu, and X. J. Jiang
Surface Topography: Metrology and Properties, vol. 9, no. 2
Artificial intelligence and statistics for quality technology: an introduction to the special issue
B. M. Colosimo, E. del Castillo, L. A. Jones-Farmer, and K. Paynabar
Journal of Quality Technology, vol. 53, no. 5, pp. 443–453
Predictive Control Charts (PCC): A Bayesian approach in online monitoring of short runs
K. Bourazas, D. Kiagias, and P. Tsiamyrtzis
Journal of Quality Technology, pp. 1–35
In situ monitoring of powder bed fusion homogeneity in electron beam melting
M. Grasso
Materials (Basel), vol. 14, no. 22
In-situ measurement and monitoring methods for metal powder bed fusion – an updated review
M. Grasso, A. Remani, A. Dickins, B. M. Colosimo, and R. K. Leach
Meas. Sci. Technol., vol. 32, no. 11
Direct laser additive manufacturing of high performance oxide ceramics: a state-of-the-art review
Pfeiffer, S., Florio, K., Puccio, D., Grasso, M., Colosimo, B. M., Aneziris, C. G., Wegener, K., Graule, T.
Journal of the European Ceramic Society, 41(13), 6087-6114.
Process Characterization and Analysis of Ceramic Powder Bed Fusion
Florio, K., Puccio, D., Pfeiffer, S., Verga, F., Grasso, M., Colosimo, B.M., Graule, T., Wegener, K.
The International Journal of Advanced Manufacturing Technology, 117, 2105-2116
2020
Penelope: a novel prototype for in-situ defect removal in LPBF
Colosimo, B.M., Grossi, E., Caltanissetta, F., Grasso, M.
JOM 72, 1332-1339
https://link.springer.com/article/10.1007/s11837-019-03964-0
Automated layerwise detection of geometrical distortions in laser powder bed fusion
Pagani, L., Grasso, M., Scott, P. J., & Colosimo, B. M.
Additive Manufacturing, 36, 101435
Powder bed irregularity and hot-spot detection in Electron Beam Melting by means of in-situ video imaging
Grasso, M., Valsecchi, G., Colosimo, B.M.
Manufacturing Letters, 24, 47-51
A cost model for the economic evaluation of in-situ monitoring tools in metal additive manufacturing
Colosimo, B.M., Cavalli, S., Grasso, M.
International Journal of Production Economics, 223, 107532
Layer-wise control of selective laser melting by means of inline melt pool area measurements
Vasileska, E., Demir, A. G., Colosimo, B. M., & Previtali, B.
Journal of Laser Applications, 32(2).
Determining the feasible conditions for processing lunar regolith simulant via laser powder bed fusion
Caprio, L., Demir, A. G., Previtali, B., & Colosimo, B. M.
Additive Manufacturing, 32, 101029.
2019
A Statistical Learning Method for Image-based Monitoring of the Plume Signature in Laser Powder Bed Fusion
Grasso, M., Colosimo, B.M.
Robotics and Computer-Integrated Manufacturing, 57, 103-115
Prescriptive Data-Analytical Modeling of Laser Powder Bed Fusion Processes
He, L., Grasso, M., Colosimo, B.M., Huang, Q.
Journal of Manufacturing Science and Technology, 141(1): 011008
Deformation and failure mechanisms of Ti–6Al–4V as built by selective laser melting
Moridi, A., Demir, A. G., Caprio, L., Hart, A. J., Previtali, B., & Colosimo, B. M.
Materials Science and Engineering: A, 768, 138456
An adaptive fused sampling approach of high-accuracy data in the presence of low-accuracy data
Gahrooei, M. R., Paynabar, K., Pacella, M., & Colosimo, B. M.
IISE Transactions, 51(11), 1251-1264.
https://www.tandfonline.com/doi/full/10.1080/24725854.2018.1540901
Fast hierarchical fusion model based on least squares B-splines approximation
Pagani, L., Wang, J., Colosimo, B. M., Jiang, X., & Scott, P. J.
Precision Engineering 60 (2019): 570-586
2018
Characterization of In-Situ Measurements based on Layerwise Imaging in Laser Powder Bed Fusion
Caltanissetta F., Grasso M., Petrò S., Colosimo, B. M.
Additive Manufacturing, 24, 183-199
https://www.sciencedirect.com/science/article/pii/S2214860418305785
Spatially weighted PCA for monitoring video image data with application to additive manufacturing
Colosimo, B.M., Grasso, M.
Journal of Quality Technology, 50(4), 391-417
https://www.tandfonline.com/doi/abs/10.1080/00224065.2018.1507563
Available dataset: https://doi.org/10.6084/m9.figshare.7092863.v1
Profile Monitoring of Probability Density Functions for Image Data via Simplicial Functional Principal Component Analysis
Menafoglio A., Grasso M., Secchi P., Colosimo B.M.
Technometrics, 60(4), 497-510
https://www.tandfonline.com/doi/abs/10.1080/00401706.2018.1437473
In-situ Monitoring of Selective Laser Melting of Zinc Powder via Infrared Imaging of the Process Plume
Grasso, M., Demir, A.G., Previtali, B., Colosimo, B.M.
Robotics and Computer-Integrated Manufacturing, 49, 229-239
https://www.sciencedirect.com/science/article/pii/S0736584517300583
Domain-Selective Functional ANOVA for Supervised Statistical Profile Monitoring of Signal Data
Pini A., Vantini S., Colosimo B.M., Grasso M.
Journal of the Royal Statistical Society: Series C (Applied Statistics), 67(1), 55-81
Multilinear principal component analysis for statistical modeling of cylindrical surfaces: a case study
Pacella, M., & Colosimo, B. M.
Quality Technology & Quantitative Management, 15(4), 507-525
https://www.tandfonline.com/doi/full/10.1080/16843703.2016.1226710
Opportunities and challenges of quality engineering for additive manufacturing
Colosimo, B. M., Huang, Q., Dasgupta, T., & Tsung, F.
Journal of Quality Technology, 50(3), 233-252
https://www.tandfonline.com/doi/full/10.1080/00224065.2018.1487726
Modeling and monitoring methods for spatial and image data
Colosimo, B. M.
Quality Engineering, 30(1), 94-111
https://www.tandfonline.com/doi/abs/10.1080/08982112.2017.1366512
2017
On the use of spatter signature for in-situ monitoring of Laser Powder Bed Fusion
Repossini G., Laguzza V., Grasso M., Colosimo B.M.
Additive Manufacturing, 16, 35-48
https://www.sciencedirect.com/science/article/pii/S2214860416303402
Process Defects and In-situ Monitoring Methods in Metal Powder Bed Fusion: a Review
Grasso M., Colosimo B.M.
Measurement Science and Technology, 28(4), 1-25
https://iopscience.iop.org/article/10.1088/1361-6501/aa5c4f/meta
In-process Monitoring of Selective Laser Melting: Spatial Detection of Defects via Image Data Analysis
Grasso M., Laguzza V., Semeraro Q., Colosimo B.M.
Journal of Manufacturing Science and Engineering, 139(5), 051001-1 – 051001-16
A phase I multi-modelling approach for profile monitoring of signal data
Grasso, M., Colosimo, B. M., Tsung, F.
International Journal of Production Research, 55(15), 4354-4377
https://www.tandfonline.com/doi/abs/10.1080/00207543.2016.1251626
On the geometrical accuracy of high aspect ratio micromilled pins
Parenti, P., Pagani, L., Annoni, M., Colosimo, B. M., & Semeraro
Journal of Manufacturing Science and Engineering, 139(5), 051002
Study of weighted fusion methods for the measurement of surface geometry
Wang, J., Pagani, L., Leach, R. K., Zeng, W., Colosimo, B. M., & Zhou, L.
Precision Engineering, 47, 111-121.
2016
A Data-Driven Method to Enhance Vibration Signal Decomposition for Rolling Bearing Fault Analysis
Grasso M., Chatterton S., Pennacchi P., Colosimo B.M.
Mechanical Systems and Signal Processing, 81, 126-147
https://www.sciencedirect.com/science/article/pii/S0888327016001230
An Automated Approach to Enhance Multi-Scale Signal Monitoring of Manufacturing Processes
Grasso M., Colosimo B.M.
Journal of Manufacturing Science and Engineering, 138(5), 051003-1 – 051003-16
Using Curve Registration Information to Enhance Profile Monitoring of Signal Data
Grasso M., Menafoglio A., Colosimo B. M., Secchi P.
Journal of Quality Technology, 48(2), 99-127
https://www.tandfonline.com/doi/abs/10.1080/00224065.2016.11918154