Automated procedure for coke microstructural characterization in imagej software aiming industrial application

• Published in: Fuel (Guildford) Vol. 304; p. 121374
• Main Authors: Agra, Anderson Azevedo, Nicolodi, Anderson, Flores, Bruno Deves, Flores, Ismael Vemdrame, da Silva, Guilherme Lizeiro Ruggio, Vilela, Antônio Cezar Faria, Osório, Eduardo
• Format: Journal Article
• Language: English
• Published: Kidlington Elsevier Ltd 15.11.2021; Elsevier BV
• Subjects: Automation; Coke; Coke microstructure; Coke quality; Coke strength; Computer programs; Heterogeneity; Image analysis; Image processing; Industrial applications; Light microscopy; Metallurgical coke; Microstructure; Optical microscopy; Parameters; Porosity; Software; Spatial distribution; Image analysis; Porosity; Coke quality; Coke microstructure; Coke strength

[Display omitted] •22.4–19 mm particles preserved microstructure with minimal damage to critical pores.•At least 56.8 mm2 area to reduce edge pores negative effect for coke microstructure.•Keeping other settings constant, five coke pieces provide a representative analysis.•The automated image analys...