Publications

Papers

Patents

Conferences

Apparato di monitoraggio per identificazione di anomalie e percorsi di degrado in una macchina utensile

Colosimo, B.M., Grasso, M., Fogliazza, G.

National patent application n. 102019000004617, 27/03/2019.

International extension pending.

Dispositivo per la rimozione in situ di difetti durante la stampa additiva di parti metalliche

Colosimo, B.M., Grasso, M., Grossi, E., Previtali, B., Demir, A. G.

National patent application n. 102018000010598, 27/11/2018.

International extension pending.

Effect of overhanging surfaces on the evolution of substrate topography and internal defects formation in laser powder bed fusion

Tsiaatti, Q. Semeraro, and B. M. Colosimo
Journal of Manufacturing Processes, vol. 77, no. November 2021, pp. 588–606

https://doi.org/10.1016/j.jmapro.2022.03.030

The effect of energy density and porosity structure on tensile properties of 316L stainless steel produced by laser powder bed

S. Cacace, L. Pagani, B. M. Colosimo, and Q. Semeraro
Progress in Additive Manufacturing, vol. c, no. 0123456789

https://doi.org/10.1007/s40964-022-00281-y

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

https://doi.org/10.1007/s40436-021-00379-6

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

https://doi.org/10.1016/j.addma.2022.102626

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

https://doi.org/10.3390/ma15041520

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

https://doi.org/10.1080/24725854.2021.1882013

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

https://doi.org/10.1007/s10845-021-01787-y

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

https://doi.org/10.1016/j.jmatprotec.2021.117439

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

https://doi.org/10.1016/j.jmapro.2021.12.043

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

https://doi.org/10.1007/s42242-021-00165-0

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:

https://doi.org/10.1080/08982112.2021.2008974

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

https://doi.org/10.1088/2051-672X/abf408

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

https://doi.org/10.1080/00224065.2021.1987806

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

https://doi.org/10.1080/00224065.2021.1916413

In situ monitoring of powder bed fusion homogeneity in electron beam melting

M. Grasso
Materials (Basel)., vol. 14, no. 22

https://doi.org/10.3390/ma14227015

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

https://doi.org/10.1007/s42242-021-00165-0

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

https://doi.org/10.1088/1361-6501/ac0b6b

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, in press

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.

under review in Journal of the European Ceramic Society

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.

under review in Technometrics

Compression behaviour of EBM printed auxetic chiral structures

Gunaydin, K., Turkmen, H. S., Airoldi, A., Grasso, M., Sala, G., Grande, A. M.

under review in Meccanica

Novel solutions for lattice structure modelling and monitoring

Colosimo B.M., Garghetti, F., Grasso, M.

Journal of Quality Technology, in press

Penalized Spatio-temporal Regression for Anomaly Detection in Video-Imaging Data with Application to Hot-spot Detection in Laser Powder Bed Fusion

Yan, H., Grasso, M., Paynabar, K., Colosimo, B.M.

IISE Transactions

Penelope: a novel prototype for in-situ defect removal in LPBF

Colosimo, B.M., Grossi, E., Caltanissetta, F., Grasso, M.

JOM

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

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

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

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

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

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

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

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

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

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

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

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

A Comparison Study of Distribution-Free Multivariate SPC Methods for Multimode Data

Grasso M., Colosimo B.M., Semeraro Q., Pacella M.

Quality & Reliability Engineering International, 31 (1), 75 – 96

Empirical mode decomposition of pressure signal for health condition monitoring in waterjet cutting

Grasso M., Pennacchi P., Colosimo B. M.

The International Journal of Advanced Manufacturing Technology, 72:1-4, 347-364

Profile Monitoring via Sensor Fusion: the use of PCA Methods for Multi-Channel Data

Grasso M., Colosimo B.M., Pacella M.

International Journal of Abrasive Technology, 6(2), 158-181

A New Approach for On-Line Health Assessment of Abrasive Waterjet Cutting Systems

Grasso M., Goletti M., Annoni M., Colosimo B.M.

International Journal of Abrasive Technology, 6(2), 158-181

In-situ monitoring in AM: state of the art and future perspectives

Colosimo, B.M., Grasso, M.
MetMap – Integrated Metrology for Additive Manufacturing, 17 July 2019, Advanced Manufacturing Training Centre, Airfield Drive, Ansty Business Park, Coventry, UK

Online monitoring, detection and mitigation of defects in a self-repairing hybrid manufacturing system

Colosimo, B.M., Grasso, M.
INFORMS Annual Meeting, October 20-23, 2019, Seattle, USA

Opportunities and Challenges of In-Situ Monitoring in Additive Manufacturing

Colosimo, B.M., Grasso, M.
INFORMS Annual Meeting, October 20-23, 2019, Seattle, USA

Multiple Signals Monitoring for Quality Control in Additive Manufacturing

Colosimo, B.M., Grasso, M.
INFORMS Annual Meeting, October 20-23, 2019, Seattle, USA

A novel self-repairing additive manufacturing system for in-situ defects detection and correction

Grasso, M., Caltanissetta, F., Colosimo, B.M.
EUSPEN’s 19th International Conference & Exhibition, Bilbao, Spain, 3-7 June, 2019

Spatially weighted PCA for monitoring video image data with application to additive manufacturing

Colosimo, B.M., Grasso, M.
Fall Technical Conference – Statistics: setting the standard for success in quality, Gaithersburg, MD (USA), 25-27 September, 2019

In-Situ Defect Detection and Correction in Laser Powder Bed Fusion

Caltanissetta, F., Grasso, M., Colosimo, B.M.
XIV Convegno dell’Associazione Italiana Tecnologie Manifatturiere, AITEM 2019, 9- 11 September, Padova, Italy

PENELOPE: A novel prototype for in-situ monitoring and defect removal in L-PBF

Colosimo, B.M., Grossi, E., Caltanissetta, F., Grasso, M.
30th Annual International Solid Freeform Fabrication Symposium – An Additive Manufacturing Conference, Austin, TX (USA), 12-14 August, 2019

Novel solutions for in-situ monitoring of metal AM

Colosimo, B.M., Grasso, M.
FACAM 19 workshop ENS-Cachan, France, 17 – 18 June, 2019

LILIAM. Life-long learning in additive manufacturing

Grasso, M., Lopez, E., Lecomte, J., Colosimo, B.M.
EUROPM 2018 – Special Interest Seminar, Competitive & Sustainable Powder Metallurgy Industry, October 17, 2018, Bilbao, Spain.

Layerwise Imaging for In-situ Metrology in Laser Powder Bed Fusion Process: A Preliminary Study

Caltanissetta F., Grasso M., Petrò S., Colosimo, B.M.
2018 ASPE and Euspen Summer Topical Meeting Advancing Precision in Additive Manufacturing, July 22-25, 2018, Lawrence Berkeley National Laboratory, Berkeley, California, USA

In-situ Process Monitoring in Metal Powder Bed Fusion Processes by means of Multi-Sensor Data Mining Methods

Grasso M., Colosimo B.M.
ECSSMET 2018 Conference, June 2018, ESTEC (ESA), Noordwijk, Netherlands 

In-situ Monitoring of Geometric Accuracy in Laser Powder Bed Fusion Processes

Grasso M., Caltanissetta F., Petrò S., Colosimo B.M.
EUSPEN’s 18th International Conference and Exhibition, June 2018, Venice, Italy

Data Fusion Methods for Statistical Process Monitoring and Quality Characterization in Metal Additive Manufacturing

Grasso M., Gallina F., Colosimo B.M.
15th CIRP Conference on Computer Aided Tolerancing – CIRP CAT 2018, June 2018, Milan, Italy

Statistical Process Monitoring of Powder Bed Fusion Processes via In-situ Video Imaging

Grasso M., Colosimo B.M.
FACAM 2018, January 2018, Los Angeles, USA

Statistical Process Monitoring and Control Methods for In-situ Detection and Localization of Defects in LPBF

Grasso M., Repossini G., Colosimo B.M.
Joint Special Interest Group meeting between EUSPEN and ASPE, Dimensional Accuracy and Surface Finish in Additive Manufacturing, October 2017, KU Leuven, BE

In-situ Monitoring of Metal Additive Manufacturing Processes via Spatter Signature

Grasso M., Repossini G., Colosimo B.M.
XIII AITEM Workshop, September 11-13, 2017, Pisa, Italy

Statistical Process Monitoring of Additive Manufacturing via In-Situ Sensing

Grasso M.
QPRC 2017, The 34th Quality and Productivity Research Conference Quality and Statistics, June 13-15, 2017, The University of Connecticut, Storrs, USA

Spatio-Temporal Detection of Defects in SLM by using in-situ high-speed vision

Grasso M., Colosimo B.M.
Quality Control in Additive Manufacturing – EUSPEN Special Interest Group Meeting, 23-24 January, 2017, Coventry, UK

Statistical Quality Monitoring in Additive Manufacturing: Opportunities and Challenges

Colosimo, B.M., Grasso, M.
Forth International Conference on the Interference between Statistics and Engineering, ICISE 2016, 20-22 June 2016, Palermo, Italy

Monitoring of Metal Additive Manufacturing Processes via In-Situ Machine Sensorization

Grasso M., Colosimo B.M.
IMEKO TC10 Workshop on New Perspectives in Measurements, Tools and Techniques for system’s reliability, maintainability and safety, 27-28 June 2016, Milan, Italy

Abrasive Waterjet Intensifier Model for Machine Diagnostics

Ferretti G., Monno M., Scaglioni B., Goletti M., Grasso M.
11th International Modelica Conference, September 21 -23, 2015, Paris (France)

Design performance analysis of a self-organizing map for statistical monitoring of distribution-free data streams

Di Mauro M., Maggioni M., Grasso M., Colosimo B.M.
48th CIRP Conference on Manufacturing Systems, CIRP CMS 2015, June 2015, Ischia (Italy)

Improved Signal Characterization via Empirical Mode Decomposition to Enhance In-Line Quality Monitoring

Carroccia A., Grasso M., Maggioni M., Colosimo B.M.
48th CIRP Conference on Manufacturing Systems, CIRP CMS 2015, June 2015, Ischia (Italy)

Selective Laser Melting: a Capability Study

Cacace S., Demir A. G., Grasso M.
XXII AITEM Workshop, September 2015, Palermo (Italy) 

Quality Monitoring of Multimode Processes via Signal Data

Grasso M., Colosimo B.M., Tsung F.
XXII AITEM Workshop, September 2015, Palermo (Italy) 

Combining Warping Functions and Functional Principal Component Analysis to enhance Profile Monitoring of Signal data

Colosimo B.M., Grasso M., Menafoglio A., Secchi P.
Joint Research Conference JRC 2014, 24-26 June, 2014, Seattle, Washington

In-Process Quality Characterization of Grinding Processes: A Sensor-Fusion Based Approach

Maggioni M., Marzorati E., Grasso M., Colosimo B.M., Parenti P.
ASME 12th Biennial Conference on Engineering Systems Design, ESDA 2014, June 25-27, 2014, Copenhagen, Denmark

Quality Monitoring of Manufacturing Processes by In-Process Sensor Signals

Grasso M., Colosimo B.M.
INFORMS Annual Meeting 2013, 6 – 9 October, 2013, Minneapolis, USA

Functional Data Analysis and Classification for Profile Monitoring and Fault Diagnosis in Waterjet Machining Processes

Grasso M., Frigerio N., Menafoglio A., Secchi P., Colosimo B.M.
SCO 2013 – Complex Data Modeling and Computationally Intensive Statistical Methods for Estimation and Prediction, 9 – 11 September, 2013, Milano, Italy

An Adaptive SPC Approach for Multi-Sensor Fusion and Monitoring of Time-Varying Processes

Grasso M., Albertelli P., Colosimo B.M.
CIRP ICME 2012 – Intelligent Computation in Manufacturing Engineering, 18-20 July, 2012 Ischia, Italy

Condition Monitoring of an Ultra High Pressure Intensifier for Waterjet Cutting Machines

Goletti M., Grasso M., Annoni M., Colosimo B.M.
CIRP ICME 2012 – Intelligent Computation in Manufacturing Engineering, 18-20 July, 2012 Ischia, Italy

The Use of Adaptive PCA-based Condition Monitoring Methods in Machining Processes

Grasso M., Colosimo B. M., Moroni G.
Proceedings of the ASME 2012 11th Biennial Conference On Engineering Systems Design And Analysis, ESDA 2012, 2-4 July, 2012, Nantes, France