{"id":155,"date":"2018-02-28T20:25:03","date_gmt":"2018-02-28T23:25:03","guid":{"rendered":"http:\/\/micdigi.deqm.puc-rio.br\/?page_id=155"},"modified":"2025-04-08T13:07:39","modified_gmt":"2025-04-08T16:07:39","slug":"portfolio","status":"publish","type":"page","link":"https:\/\/micdigi.deqm.puc-rio.br\/en\/portfolio\/","title":{"rendered":"Portfolio"},"content":{"rendered":"
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  • Automatic Characterization of Iron Ore and its Agglomerates through Digital Microscopy \u2013 Development of image analysis software for the Ferrous Technology Center\/VALE.<\/span><\/span><\/li>\n<\/ul>\n
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    • Identification and characterization of cracks and coating<\/em> in iron ore pellets \u2013 Development of an automated methodology for\u00a0the Ferrous Technology Center\/VALE<\/span>.<\/li>\n<\/ul>\n
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      • Development of Methodology for Automation of Iron Ore and Pellet Image Analysis \u2013 Development of image analysis software for VALE\u2019s Pelletizing Directorate.<\/span><\/li>\n<\/ul>\n
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        • Automatic Classification of Macerals in Coal \u2013 Development of artificial intelligence methodology for the Ferrous Technology Center\/VALE.<\/span><\/li>\n<\/ul>\n
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          • Automation of microscale characterization and composition of cold microclusters \u2013 Development of image analysis software for the Ferrous Technology Center\/VALE.<\/span><\/li>\n<\/ul>\n
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            • Automated classification of minerals in Pellet feed<\/em> using Deep Learning \u2013 <\/em><\/em>Methodology development for the Ferrous Technology Center\/VALE.<\/span><\/li>\n<\/ul>\n
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              • Characterization of porosity and permeability of iron ore briquettes through X-ray Microtomography and Pore Network Modeling \u2013 Development of methodology for the Ferrous Technology Center\/VALE.<\/li>\n<\/ul>\n

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                • Development of Methodologies for Automatic Characterization of FCC Catalyst Particles \u2013 Infrastructure Project for CENPES\/Petrobras.
                  \n<\/span><\/li>\n<\/ul>\n
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                  • Automatic Morphometry of Catalysts \u2013 development of software for characterization based on digital image analysis \u2013 Project for CENPES\/Petrobras.<\/span><\/span><\/li>\n<\/ul>\n
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                    • Development of methodologies based on image analysis and artificial intelligence for automatic identification of sporomorphs and vitrinite particles in oil well samples \u2013 Project for CENPES\/Petrobras.<\/span><\/li>\n<\/ul>\n

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                      • Development of solutions for iron ore characterization<\/span> (S<\/em><\/span><\/span>inter<\/span> feed<\/span> and Pellet <\/span>feed<\/span><\/span><\/em>)<\/span> and<\/span> some of <\/span>its clusters <\/span>based on microscopy <\/span>optics<\/span> automated, digital image analysis and <\/span>artificial intelligence<\/span> (AI)<\/span>.<\/span><\/span>\u00a0<\/span><\/li>\n<\/ul>\n

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                        • Development of methodologies for digital processing of signals from MFL equipment.<\/li>\n<\/ul>\n
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                          • Automatic classification of internal defects in pipelines.<\/li>\n<\/ul>\n

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                            • Development of software for automatic analysis of minerals, in terms of chemical composition, degree of association and grain size analysis.<\/li>\n<\/ul>\n

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                              \u00a0 \u00a0 <\/strong><\/span>\"\"<\/h1>\n
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                              • Development of techniques for processing wind blade waste, composed predominantly of thermosetting resins and glass fibers, aiming at their reinsertion as inputs in cement materials for civil construction.<\/li>\n<\/ul>\n
                                  \n
                                • Development of a methodology for incorporating wind blade waste as a mineral addition or partial replacement of aggregates in cementitious mass and structural concrete compositions.<\/li>\n<\/ul>\n
                                    \n
                                  • Development of experimental and computational approaches for analyzing the physical, mechanical and structural performance of cementitious composites with the addition of wind blade waste.<\/li>\n<\/ul>\n<\/div>
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