Litcius/Paper detail

Experimental analysis and data-driven machine learning modelling of the minimum ignition temperature (MIT) of aluminium dust

Ushtar Arshad, Syed Ali Ammar Taqvi, Azizul Buang

2022Fuel32 citationsDOI

Topics & Concepts

Ignition systemDust explosionDispersion (optics)Particle sizeArtificial neural networkAluminiumAutoignition temperatureSet (abstract data type)Particle (ecology)Minimum ignition energyProcess engineeringComputer scienceEnvironmental scienceMaterials scienceMachine learningEngineeringPhysicsThermodynamicsMetallurgyWaste managementChemical engineeringGeologyOpticsProgramming languageOceanographyCombustion and Detonation ProcessesRisk and Safety AnalysisThermal and Kinetic Analysis
Experimental analysis and data-driven machine learning modelling of the minimum ignition temperature (MIT) of aluminium dust | Litcius