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Marco Grasso
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eBook Chapter

In Situ Measurement and Process Monitoring in Laser Powder Bed Fusion of Lattice Structures

Series: ASTM Selected Technical Papers
Publisher: ASTM International
Published: 2022
https://doi.org/10.1520/STP163720200097
ISBN: 978-0-8031-7721-5
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Journal Articles

Prescriptive Data-Analytical Modeling of Laser Powder Bed Fusion Processes for Accuracy Improvement

He Luan, Marco Grasso, Bianca M. Colosimo, Qiang Huang
Journal: Journal of Manufacturing Science and Engineering
Publisher: ASME
Article Type: Research-Article
J. Manuf. Sci. Eng. January 2019, 141(1): 011008.
Paper No: MANU-18-1169
https://doi.org/10.1115/1.4041709
Published Online: November 8, 2018
View Article titled, Prescriptive Data-Analytical Modeling of Laser Powder Bed Fusion Processes for Accuracy Improvement
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Topics: Errors, Laser beams, Lasers, Modeling, Shapes, Surface roughness, Cylinders
Journal Articles

In-Process Monitoring of Selective Laser Melting: Spatial Detection of Defects Via Image Data Analysis

Marco Grasso, Vittorio Laguzza, Quirico Semeraro, Bianca Maria Colosimo
Journal: Journal of Manufacturing Science and Engineering
Publisher: ASME
Article Type: Research-Article
J. Manuf. Sci. Eng. May 2017, 139(5): 051001.
Paper No: MANU-15-1647
https://doi.org/10.1115/1.4034715
Published Online: November 10, 2016
View Article titled, In-Process Monitoring of Selective Laser Melting: Spatial Detection of Defects Via Image Data Analysis
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Topics: Corners (Structural elements), Lasers, Melting, Process monitoring, Dynamic light scattering, Additive manufacturing, Flaw detection, Robustness
Journal Articles

An Automated Approach to Enhance Multiscale Signal Monitoring of Manufacturing Processes

Marco Grasso, Bianca Maria Colosimo
Journal: Journal of Manufacturing Science and Engineering
Publisher: ASME
Article Type: Research-Article
J. Manuf. Sci. Eng. May 2016, 138(5): 051003.
Paper No: MANU-15-1245
https://doi.org/10.1115/1.4031797
Published Online: November 16, 2015
View Article titled, An Automated Approach to Enhance Multiscale Signal Monitoring of Manufacturing Processes
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Topics: Density, Signals, Transients (Dynamics), Manufacturing, Noise (Sound)
Proceedings Papers

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

Matteo Maggioni, Elena Marzorati, Marco Grasso, Bianca Maria Colosimo, Paolo Parenti
Proc. ASME. ESDA2014, Volume 1: Applied Mechanics; Automotive Systems; Biomedical Biotechnology Engineering; Computational Mechanics; Design; Digital Manufacturing; Education; Marine and Aerospace Applications, V001T06A009, July 25–27, 2014
Publisher: American Society of Mechanical Engineers
Paper No: ESDA2014-20439
https://doi.org/10.1115/ESDA2014-20439
View Paper titled, In-Process Quality Characterization of Grinding Processes: A Sensor-Fusion Based Approach
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Topics: Grinding, Sensors, Inspection, Statistical process control, Vibration, Chatter, Cylinders, Finishes, Manufacturing, Principal component analysis
Proceedings Papers

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

Marco Grasso, Bianca Maria Colosimo, Giovanni Moroni
Proc. ASME. ESDA2012, Volume 4: Advanced Manufacturing Processes; Biomedical Engineering; Multiscale Mechanics of Biological Tissues; Sciences, Engineering and Education; Multiphysics; Emerging Technologies for Inspection and Reverse Engineering; Advanced Materials and Tribology, 133-140, July 2–4, 2012
Publisher: American Society of Mechanical Engineers
Paper No: ESDA2012-82676
https://doi.org/10.1115/ESDA2012-82676
View Paper titled, The Use of Adaptive PCA-Based Condition Monitoring Methods in Machining Processes
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Topics: Condition monitoring, Machining, Signals, Manufacturing, Stability, Wear, Cutting, Data acquisition, Machine components, Machine tools
Proceedings Papers

On the Use of Statistical Process Control Approaches for Automated and Real-Time Monitoring of Machining Processes

Bianca Maria Colosimo, Giovanni Moroni, Marco Grasso
Proc. ASME. ESDA2010, ASME 2010 10th Biennial Conference on Engineering Systems Design and Analysis, Volume 4, 741-750, July 12–14, 2010
Publisher: American Society of Mechanical Engineers
Paper No: ESDA2010-24923
https://doi.org/10.1115/ESDA2010-24923
View Paper titled, On the Use of Statistical Process Control Approaches for Automated and Real-Time Monitoring of Machining Processes
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Topics: Machining, Statistical process control, Signals, Cutting, Milling, Time series, Cycles, Monitoring systems, Quality control charts, Sensors