A5053438628- Lattice Boltzmann Simulation Studies
- Aerosol Filtration and Electrostatic Precipitation
- Virtual Reality Applications and Impacts
- Simulation Techniques and Applications
- Air Quality Monitoring and Forecasting
- Distributed and Parallel Computing Systems
- Generative Adversarial Networks and Image Synthesis
- Augmented Reality Applications
- Traffic Prediction and Management Techniques
- Computer Graphics and Visualization Techniques
- Advanced Data Storage Technologies
- Model Reduction and Neural Networks
- Parallel Computing and Optimization Techniques
- Spatial Cognition and Navigation
- Advanced Fiber Optic Sensors
Karlsruhe Institute of Technology
2021-2025
OpenLB is a generic implementation of lattice Boltzmann methods (LBM) that shared with the open source community under terms GPLv2 license. Since first release in 2007, code continues to be improved and extended, resulting fifteen releases counting. The framework written C++ covers full scope simulations – from pre-processing over parallel efficient execution post-processing results. It offers both possibility setting up new simulation cases using existing rich collection models implementing...
Learning content in mathematics, such as vector geometry, is still predominantly taught an abstract manner, the visualization and interaction of three-dimensional problems are limited with classical forms teaching blackboard lessons or exercise sheets. This research article proposes use augmented reality (AR) mathematics education. The proposed approach aims at easing learning process related to geometry currently senior classes by using intuitive visualization. introduces concept AR...
Digital twin (DT) technology is increasingly used in urban planning, leveraging real-time data integration for environmental monitoring. This paper presents an urban-focused DT that combines computational fluid dynamics simulations with live meteorological to analyze pollution dispersion. Addressing the health impacts of pollutants like particulate matter and nitrogen dioxide, provides updates on air quality, wind speed, direction. Using OpenStreetMaps XML-based data, model distinguishes...
Efficient solid-liquid separation is crucial in industries like mining, but traditional chamber filter presses depend heavily on manual monitoring, leading to inefficiencies, downtime, and resource wastage. This paper introduces a machine learning-powered digital twin framework improve operational flexibility predictive control. A key challenge addressed the degradation of medium due repeated cycles clogging, which reduces filtration efficiency. To solve this, neural network-based model was...
Efficient solid–liquid separation is crucial in industries like mining, but traditional chamber filter presses depend heavily on manual monitoring, leading to inefficiencies, downtime, and resource wastage. This paper introduces a machine learning-powered digital twin framework improve the operational flexibility predictive control of press. A key challenge addressed degradation medium due repeated cycles clogging, which reduces filtration efficiency. To solve this, neural network-based...
Computational fluid dynamics (CFD) are being used more and in the industry to understand optimize processes such as flows. At same time, tools augmented reality (AR) becoming increasingly important with realization of Industry 5.0 make data tangible. Placing two together paves way for a new method active learning also an interesting engaging presenting processes. It enables students reinforce their understanding fundamental concepts interactive way. However, this is not really utilized yet....
Lattice Boltzmann Methods (LBM) are particularly suited to highly parallel computational fluid dynamics simulations both on SIMD CPUs and GPUs. While heterogeneous systems combining GPUs ubiquitous in high performance computation (HPC), the computationally dominant collide-and-stream loop commonly only utilizes either or homogeneously. This article proposes a novel approach utilizing genetic programming for cost-aware optimization of spatial domain decompositions targeting execution...
The present state of research in Computational Fluid Dynamics (CFD) is marked by an ongoing process refining numerical methods and algorithms with the goal achieving accurate modeling analysis fluid flow heat transfer phenomena. Remarkable progress has been achieved domains turbulence modeling, parallel computing, mesh generation, resulting heightened simulation precision when it comes to capturing complex behaviors. Nevertheless CFD faces a significant challenge due time expertise needed...
Micromixers are chemical processing devices with complex flow patterns applied for both mixing and reaction of species. In current research, laminar reacting multicomponent flows considered. Despite the streaming regime (e.g., Re = 186), there exist secondary microstructures. For this setup, accurate predictions those structures possible a large-eddy simulation on fine mesh resolving till Batchelor microscales. Utilizing open-source lattice Boltzmann method (LBM) framework, OpenLB, benchmark...
The present state of research in computational fluid dynamics (CFD) is marked by an ongoing process refining numerical methods and algorithms with the goal achieving accurate modeling analysis flow heat transfer phenomena. Remarkable progress has been achieved domains turbulence modeling, parallel computing, mesh generation, resulting heightened simulation precision when it comes to capturing complex behaviors. Nevertheless, CFD faces a significant challenge due time expertise needed for...
OpenLB is an object-oriented implementation of LBM. It the first a generic platform for LBM programming, which shared with open source community (GPLv2). Since release in 2007, code has been continuously improved and extended documented by thirteen releases as well corresponding notes are available on website (https://www.openlb.net). The written C++ used application programmers developers, ability to implement custom models supports complex data structures that allow simulations geometries...
Micromixers are widely used chemical processing devices that applied for both mixing and reacting flows. In current research, the laminar multi-component flows considered [1, 2, 3]. Despite streaming regime (e.g. Re = 186), there exist flow micro-structures. For this setup, accurate predictions of structures possible with a direct numerical simulation on fine mesh resolving Batchelor microscales.Utilizing open-source Lattice Boltzmann Methods (LBM) framework OpenLB (www.openlb.net, [4, 5])...