7 papers · 1 filter
Data-driven reduced order model for residence time distribution analysis of an industrial-scale continuous casting tundish
Harshith Gowrachari, Mattia Giuseppe Barra, Giovanni Stabile +2
The continuous casting tundish plays a critical role as a metallurgical reactor in the continuous casting process, with its flow characteristics serving as a key parameter in the p…
Reservoir computing based predictive reduced order model for steel grade intermixing in an industrial continuous casting tundish
Harshith Gowrachari, Mattia Giuseppe Barra, Giovanni Stabile +2
Continuous casting is a widely adopted process in the steel industry, where maintaining high steel quality is paramount. Efficient prediction of grade intermixing during ladle chan…
Projection-based model order reduction for residence time distribution analysis of an industrial-scale continuous casting tundish
Harshith Gowrachari, Mattia Giuseppe Barra, Moaad Khamlich +3
The flow behavior in the continuous casting tundish plays a critical role in steel quality and is typically characterized via residence time distribution (RTD) curves. This study i…
A Deep-Learning Enhanced Gappy Proper Orthogonal Decomposition Method for Conjugate Heat Transfer Problem
Arash Hajisharifi, Rahul Halder, Michele Girfoglio +2
The current study aims to develop a non-intrusive Reduced Order Model (ROM) to reconstruct the full temperature field for a large-scale industrial application based on both numeric…
A hybrid reduced-order model for segregated fluid-structure interaction solvers in an ALE approach at high Reynolds number
Valentin Nkana Ngan, Giovanni Stabile, Andrea Mola +1
This study introduces a first step for constructing a hybrid reduced-order models (ROMs) for segregated fluid-structure interaction in an Arbitrary Lagrangian-Eulerian (ALE) approa…
A segregated reduced order model of a pressure-based solver for turbulent compressible flows
Matteo Zancanaro, Valentin Nkana Ngan, Giovanni Stabile +1
This article provides a reduced-order modelling framework for turbulent compressible flows discretized by the use of finite volume approaches. The basic idea behind this work is th…