DAFoam: Discrete Adjoint with OpenFOAM for High-fidelity Multidisciplinary Design Optimization
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Updated
Jun 23, 2024 - C
DAFoam: Discrete Adjoint with OpenFOAM for High-fidelity Multidisciplinary Design Optimization
This is a PINN based approach in solving high temperature heat transfer equations in manufacturing industries, with a focus on reducing the energy consumption and optimizing the sensor positioning.
A Physics-Informed Neural Network to solve 2D steady-state heat equations.
Software to simulate heat transfer for additive manufacturing
Collection of finite element models
Programable DC power supply based on Arduino UNO
Coupled hydrogen/tritium transport and heat transfer modelling using FEniCS
Software to simulate heat transfer and fluid flow in additive manufacturing using OpenFOAM
PINNs/FDM for 1D/2D heat and burgers equations
OpenTerrace: A fast, flexible and extendable Python framework for packed bed thermal energy storage simulations
ImageJ functions and macros for working with thermal image files
Calculix FEA for the Homebrew package manager
Next generation permafrost process modeling in the Julia programming language.
Generalized 2D phonon transport using a Monte Carlo method
Network diffusion algorithms in R.
Experiments for CCTA 2024 submission on fast Bayesian gray-box identification of convection in heat transfer dynamics.
Interactive Multiphysics Simulation for Everyone
A multi-package for HVAC engineering written in Python.
Python script to solve the 2D heat equation (Laplace's equation) and gain temperature distribution on a surface using Gauss-Seidel or ADI. method
Python script to solve the 1D heat equation and gain temperature distribution in a fin with Dirichlet or Neumann boundary condition at tip.
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