Advanced Simulation and Modeling Technologies of Metallurgical Processes—1st Edition
Open Access
Abstract
Due to rapid developments in computer technologies over the last two decades, computer-based process modeling has become an important tool for the improvement of existing process technologies and the development of innovative onesKeywords
This publication has 17 references indexed in Scilit:
- A Model for Direct Effect of Graphene on Mechanical Property of Al Matrix CompositeMetals, 2023
- A Rapid, Open-Source CCT Predictor for Low-Alloy Steels, and Its Application to Compositionally Heterogeneous MaterialMetals, 2023
- Numerical simulation of Marangoni effect induced by species transfer across iron droplet–molten slag interfaceJournal of Iron and Steel Research International, 2023
- A Numerical Study on Dehydrogenation of Liquid Steel Supersaturated With Hydrogen in a Vacuum Degasser (VD)Metallurgical and Materials Transactions B, 2023
- Study on the Activity Model of PbO-ZnO-FeO-Fe2O3-SiO2-CaO Six-Component High-Lead Slag SystemMetals, 2023
- Metallurgical Process Simulation and OptimizationMaterials, 2022
- Optimization of Ironmaking Blast Furnace Operations Using an Integrated Mathematical ModelChemie Ingenieur Technik, 2022
- Advanced Simulation Technologies of Metallurgical ProcessingMetals, 2020
- Dynamic Modeling and Simulation of Basic Oxygen Furnace (BOF) OperationProcesses, 2020
- Modeling of Solid Particle Flow in Blast Furnace Considering Actual Operation by Large-scale Discrete Element MethodISIJ International, 2007