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Information on didactic, research and institutional assignments on this page are certified by the University; more information, prepared by the professor, are available on the personal web page and in the curriculum vitae indicated on this webpage.
Information on professor
ProfessorColosimo Bianca Maria
QualificationFull professor full time
Belonging DepartmentDipartimento di Meccanica
Scientific-Disciplinary SectorING-IND/16 - Manufacturing Technology And Systems
Curriculum VitaeDownload CV (387.2Kb - 03/10/2018)
OrcIDhttps://orcid.org/0000-0001-6844-2030

Contacts
Professor's office hours
DepartmentFloorOfficeDayTimetableTelephoneFaxNotes
MECCANICA - Campus Bovisa v La Masa, 1----MondayFrom 17:30
To 19:00
02-2399.8522----
E-mailbiancamaria.colosimo@polimi.it
Professor's personal websitehttp://www.mecc.polimi.it

Data source: RE.PUBLIC@POLIMI - Research Publications at Politecnico di Milano

List of publications and reserach products for the year 2020 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Journal Articles
Determining the feasible conditions for processing lunar regolith simulant via laser powder bed fusion (Show >>)
Penelope: A Novel Prototype for In Situ Defect Removal in LPBF (Show >>)
Powder bed irregularity and hot-spot detection in electron beam melting by means of in-situ video imaging (Show >>)


List of publications and reserach products for the year 2019 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Patents
A device for removing flaws in situ during the additive printing of metal parts (Show >>)
Apparato di monitoraggio per identificazione di anomalie e percorsi di degrado in una macchina utensile (Show >>)
Conference proceedings
A novel self-repairing additive manufacturing system for in-situ defects detection and correction (Show >>)
In-Situ Defect Detection and Correction in Laser Powder Bed Fusion (Show >>)
PENELOPE: A New Solution for Insitu Monitoring and Defect Removal in L-PBF (Show >>)
Journal Articles
A cost model for the economic evaluation of in-situ monitoring tools in metal additive manufacturing (Show >>)
A statistical learning method for image-based monitoring of the plume signature in laser powder bed fusion (Show >>)
An Adaptive Fused Sampling Approach of High-Accuracy Data in the Presence of Low-Accuracy Data (Show >>)
COMPETENZE E LIFELONG LEARNING per l’Additive Manufacturing in Europa (Show >>)
Contributions to additive manufacturing (Show >>)
Deformation and failure mechanisms of Ti–6Al–4V as built by selective laser melting (Show >>)
Fast hierarchical fusion model based on least squares B-splines approximation (Show >>)
Message from the editor (Show >>)
Prescriptive Data-Analytical Modeling of Laser Powder Bed Fusion Processes for Accuracy Improvement (Show >>)
SMART ADDITIVE MANUFACTURING Dalla macchina sensorizzata al sistema "unmanned" (Show >>)


List of publications and reserach products for the year 2018 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Patents
DISPOSITIVO PER LA RIMOZIONE IN SITU DI DIFETTI DURANTE LA STAMPA ADDITIVA DI PARTI METALLICHE (Show >>)
Conference proceedings
Data fusion methods for statistical process monitoring and quality characterization in metal additive manufacturing (Show >>)
In-Situ Process Monitoring in Metal Powder Bed Fusion Processes by Means of Multi-Sensor Data Mining Methods (Show >>)
In-situ monitoring of geometric accuracy in laser powder bed fusion processes (Show >>)
Layerwise Imaging for In-situ Metrology in Laser Powder Bed Fusion Process: A Preliminary Study (Show >>)
Statistical Process Monitoring of Powder Bed Fusion Processes via In-situ Video Imaging (Show >>)
Journal Articles
Characterization of in-situ measurements based on layerwise imaging in laser powder bed fusion (Show >>)
Domain-selective functional analysis of variance for supervised statistical profile monitoring of signal data (Show >>)
Editors' note for special issue: “Quality engineering in advanced manufacturing” (Show >>)
In situ monitoring of selective laser melting of zinc powder via infrared imaging of the process plume (Show >>)
Modeling and monitoring methods for spatial and image data (Show >>)
Multilinear principal component analysis for statistical modeling of cylindrical surfaces: a case study (Show >>)
Opportunities and challenges of quality engineering for additive manufacturing (Show >>)
Profile Monitoring of Probability Density Functions via Simplicial Functional PCA with application to Image Data (Show >>)
Spatially weighted PCA for monitoring video image data with application to additive manufacturing (Show >>)


List of publications and reserach products for the year 2017 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Poster
In-situ monitoring of metal additive manufacturing for in-process detection and localization of defect (Show >>)
Conference proceedings
In-situ Monitoring of Metal Additive Manufacturing Processes via Spatter Signature (Show >>)
New digital aesthetics of AM metallic products as visually perceived by participants (Show >>)
Statistical process monitoring and control methods for in-situ detection and localization of defects in laser powder bed fusion (Show >>)
Journal Articles
A phase I multi-modelling approach for profile monitoring of signal data (Show >>)
In-Process Monitoring of Selective Laser Melting: Spatial Detection of Defects Via Image Data Analysis (Show >>)
L'additive manufacturing sale in quota (Show >>)
On the Geometrical Accuracy of High Aspect Ratio Micromilled Pins (Show >>)
On the use of spatter signature for in-situ monitoring of Laser Powder Bed Fusion (Show >>)
Process defects and in situ monitoring methods in metal powder bed fusion: A review (Show >>)
Study of weighted fusion methods for the measurement of surface geometry (Show >>)
The ENBIS-16 quality and reliability engineering international special issue (Show >>)


List of publications and reserach products for the year 2016 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Conference proceedings
Monitoring of Metal Additive Manufacturing Processes via In-Situ Machine Sensorization (Show >>)
Journal Articles
A data-driven method to enhance vibration signal decomposition for rolling bearing fault analysis (Show >>)
An Automated Approach to Enhance Multi-Scale Signal Monitoring of Manufacturing Processes (Show >>)
Using Curve-Registration Information for Profile Monitoring (Show >>)
manifesti v. 3.3.7 / 3.3.7
Area Servizi ICT
03/06/2020