[PDF][PDF] Recent development in casting technology: A pragmatic review
Accepted: 20 February 2022 More reliable and durable parts with high structural integrity are
required to meet the increasing advancements in science and technology. This paper …
required to meet the increasing advancements in science and technology. This paper …
[图书][B] Advanced reduced order methods and applications in computational fluid dynamics
Reduced order modeling is an important and fast-growing research field in computational
science and engineering, motivated by several reasons, of which we mention just a few …
science and engineering, motivated by several reasons, of which we mention just a few …
A DeepONet multi-fidelity approach for residual learning in reduced order modeling
In the present work, we introduce a novel approach to enhance the precision of reduced
order models by exploiting a multi-fidelity perspective and DeepONets. Reduced models …
order models by exploiting a multi-fidelity perspective and DeepONets. Reduced models …
Two-dimensional temperature field inversion of turbine blade based on physics-informed neural networks
J Mai, Y Li, L Long, Y Huang, H Zhang, Y You - Physics of Fluids, 2024 - pubs.aip.org
Correct evaluation of the blades' surface temperature field is crucial to the structural design
and operational safety of aero-engine turbine blades. Current high-temperature …
and operational safety of aero-engine turbine blades. Current high-temperature …
Optimized bayesian framework for inverse heat transfer problems using reduced order methods
A stochastic inverse heat transfer problem is formulated to infer the transient heat flux,
treated as an unknown Neumann boundary condition. Therefore, an Ensemble-based …
treated as an unknown Neumann boundary condition. Therefore, an Ensemble-based …
Towards a machine learning pipeline in reduced order modelling for inverse problems: neural networks for boundary parametrization, dimensionality reduction and …
In this work, we propose a model order reduction framework to deal with inverse problems in
a non-intrusive setting. Inverse problems, especially in a partial differential equation context …
a non-intrusive setting. Inverse problems, especially in a partial differential equation context …
Novel methodologies for solving the inverse unsteady heat transfer problem of estimating the boundary heat flux in continuous casting molds
UE Morelli, P Barral, P Quintela… - … Journal for Numerical …, 2023 - Wiley Online Library
In this article, we investigate the estimation of the transient mold‐slab heat flux in continuous
casting molds given some thermocouples measurements in the mold plates. Mathematically …
casting molds given some thermocouples measurements in the mold plates. Mathematically …
Coupled parameterized reduced order modelling of thermomechanical phenomena arising in blast furnaces
NV Shah - 2022 - iris.sissa.it
Blast furnace operations are subjected to temperatures up to 1500º C, causing high thermal
stresses in blast furnace hearth walls. First, an axisymmetric isotropic homogeneous model …
stresses in blast furnace hearth walls. First, an axisymmetric isotropic homogeneous model …
Swarm Intelligence Applied to Solidification Modeling in the Steelmaking-Continuous Casting Process
CH da Silva Santos, PHV Cândido, F Bertelli… - Treatise on Process …, 2024 - Elsevier
Solidification simulation is vital in meeting today's challenging continuous casting (CC)
requirements and helping steelmakers to deliver more effectively better products. The way …
requirements and helping steelmakers to deliver more effectively better products. The way …
Reduced order methods for inverse problem in CFD
A Cetrangolo - 2021 - webthesis.biblio.polito.it
The computational approximation of solutions to inverse problem in fluid-dynamic is often a
formidable task. A general inverse problem can be seen as Partial Differential Equations …
formidable task. A general inverse problem can be seen as Partial Differential Equations …