Riga Stradins University dataverse2026 · dataset · unknown
Dataset of Dissolution Profiles and Post-Dissolution Images of Paracetamol Model Tablets in USP Apparatus IIThis dataset combines individual dissolution profiles and post-dissolution images of magnetically fixed paracetamol model tablets. Experiments cover five paddle speeds (25, 35, 50, 60, and 75 rpm), three radial positions (0D, 0.5D off-center, and 1D off-center, where D corresponds to the initial tablet diameter) on the bottom of the USP II vessel, and two surface conditions (bottom-coated and unco
ZivaHub + Deakin Research Online + DMU Figshare + UCL Research Data Repository2026 · dataset · unknown
Fatigue assessment of offshore wind turbinesOffshore wind turbines are complex marine structures that are exposed to stochastic dynamic environmental actions such as wind and waves which result in high cycle fatigue conditions. The accuracy of estimated residual life for such structures is directly linked to the various numerical modelling approach. An accurate action is therefore required to ensure a reliable fatigue life estimation and he
ZivaHub + Deakin Research Online + DMU Figshare2026 · Crystal structure
Computational analysis of interface formation during injection overmoulding of PEEK/PPS hybrid composites<p>Composite injection overmouldingis a manufacturing process that allows rapid production of complex compositestructures and with a high degree of precision. This offers an improvement tomany composite manufacturing processes which are typically labour intensive andof low dimensional accuracy. A challenge with composite injection overmouldingis the current lack of predictability of the polymer in
ZivaHub2026 · Astronomical catalogue
Estimating Boil-Off Gas Generation in Industrial Cryogenic Storage Tank during Unloading Operations Using CFD ModelsUnloading liquefied natural gas (LNG) from ships is a critical operation carried out at receiving terminals that act as a bridge between LNG exporters and end users. During unloading, a significant amount of boil-off gas (BOG) is generated, which if not managed effectively may compromise tank integrity and process safety. Computational fluid dynamics (CFD) models are commonly used to study the dyn
Teesside University Research Data Repository2026 · dataset
Data and code for “Near-wall thermal precursors relevant to nucleate boiling: Data-driven Langevin modeling and three-dimensional first-passage statistics”This dataset contains processed simulation records, analysis and plotting scripts, and numerical results supporting the main analyses in the associated manuscript. It covers two-dimensional Langevin reconstruction, autocorrelation and long-time diagnostics, and three-dimensional first-passage and appearance statistics. Instructions, data definitions, and verification results are included. Complete
HKU DataHub + figshare + Loughborough Research Repository + UP Research Data Repository2026 · Astronomical catalogue
<p>Parameters for initial clustering and deduplication.</p><p>Parameters for initial clustering and deduplication.</p>
HKU DataHub + figshare + Loughborough Research Repository + UP Research Data Repository2026 · Astronomical catalogue
<p>Parameters for streamline-based obstacle avoidance and path redirection.</p><p>Parameters for streamline-based obstacle avoidance and path redirection.</p>
HKU DataHub + figshare + Loughborough Research Repository + UP Research Data Repository2026 · Astronomical catalogue
<p>Sensitivity of corridor-network characteristics to parameter variations.</p><p>Sensitivity of corridor-network characteristics to parameter variations.</p>
HKU DataHub + figshare + Loughborough Research Repository + UP Research Data Repository2026 · Astronomical catalogue
<p>Parameters for bifurcating streamline generation.</p><div><p>With the rapid expansion of unmanned aerial vehicle (UAV) applications in urban logistics, inspection, and emergency services, structured low-altitude networks are increasingly needed to support strategic airspace management. This paper proposes a computational fluid dynamics (CFD)-inspired method for identifying urban low-altitude traffic corridors (ULATCs). Rather than predicting atmosph
HKU DataHub + figshare + Loughborough Research Repository + UP Research Data Repository2026 · Astronomical catalogue
<p>Effect of UAV kinematic parameters on the corridor and free-flight paths.</p><p>Effect of UAV kinematic parameters on the corridor and free-flight paths.</p>
HKU DataHub + figshare + Loughborough Research Repository + UP Research Data Repository2026 · Astronomical catalogue
<p>Path-planning comparison under the baseline UAV parameter setting.</p><p>Path-planning comparison under the baseline UAV parameter setting.</p>
HKU DataHub + figshare + Loughborough Research Repository + UP Research Data Repository2026 · Astronomical catalogue
Processed data for "Effect of wingbeat frequency and stroke plane angle on aerodynamic efficiency and stability in hovering flight"<p dir="ltr">This dataset contains the processed numerical data underlying the figures of the article "Effect of wingbeat frequency and stroke plane angle on aerodynamic efficiency and stability in hovering flight" (Frontiers in Physiology). The data were obtained from a validated computational framework integrating high-fidelity aerodynamic (CFD) simulation with linearized flight-dynamics analysi
HKU DataHub + figshare + Loughborough Research Repository + UP Research Data Repository2026 · Astronomical catalogue
<p>Parameters for cross-cluster refinement.</p><div><p>With the rapid expansion of unmanned aerial vehicle (UAV) applications in urban logistics, inspection, and emergency services, structured low-altitude networks are increasingly needed to support strategic airspace management. This paper proposes a computational fluid dynamics (CFD)-inspired method for identifying urban low-altitude traffic corridors (ULATCs). Rather than predicting atmosph
HKU DataHub + figshare + Loughborough Research Repository + UP Research Data Repository2026 · Astronomical catalogue
<p>Comparison of corridor-network characteristics.</p><div><p>With the rapid expansion of unmanned aerial vehicle (UAV) applications in urban logistics, inspection, and emergency services, structured low-altitude networks are increasingly needed to support strategic airspace management. This paper proposes a computational fluid dynamics (CFD)-inspired method for identifying urban low-altitude traffic corridors (ULATCs). Rather than predicting atmosph
HKU DataHub + figshare + Loughborough Research Repository + UP Research Data Repository2026 · Astronomical catalogue
<p>Path-planning comparison among corridor-generation methods. Values are reported as the mean standard deviation across the six tested OD pairs. The relative-difference rows are calculated as . Positive values indicate that CFD-FHVCT produced a higher value, whereas negative values indicate a lower value.</p><p>Path-planning comparison among corridor-generation methods. Values are reported as the mean standard deviation across the six tested OD pairs. The relative-difference rows are calculated as . Positive values indicate that CFD-FHVCT produced a higher value, whereas negative values indicate a lower value.</p>
DaRUS2026 · dataset · unknown
Data for: Simulating large-scale biotech bubble columns: Challenges and insights from the parcel approachThe DaRUS repository entails the simulation data for the publication "Simulating large-scale biotech bubble columns: Challenges and insights from the parcel approach" The growing industrial demand for economically attractive large-scale bioprocesses has increased the need for reliable and computationally feasible modelling approaches. Gas fermentation plays a particular role as the targeted commod
DaRUS2026 · dataset · unknown
Data for: Ensuring Good Transferability from Pilot- to Large-Scale Optimized Biotech Bubble Column DesignsThe DaRUS repository entails the simulation data for the publication: "Ensuring Good Transferability from Pilot- to Large-Scale Optimized Biotech Bubble Column Designs" Scaling biotechnology processes such as gas fermentation remains resource- and time-intensive, both experimentally and in modelling. To improve the efficiency of reactor-geometry optimization, we evaluated the transferability of fi
figshare2026 · Astronomical catalogue
<b>Integration of Computational Fluid Dynamics and Physiologically Based Pharmacokinetic Modeling to Predict Human Pulmonary Absorption and Systemic Exposure of Inhaled Drugs</b><p dir="ltr">Mechanistic prediction of pulmonary absorption and systemic pharmacokinetics (PK) for inhaled drugs remains a key challenge that is not adequately addressed by existing physiologically based pharmacokinetic (PBPK) models. We developed an integrated computational fluid dynamics (CFD)-PBPK framework that links generation-resolved particle deposition with mechanistic pulmonary absorption
DaRUS2026 · dataset · unknown
Data for: The Role of Pore-Scale Geometry in Immiscible Displacement: A Numerical Comparison Between Chemical and Mechanical Erosion1. Introduction Fluid flow through porous media can alter the void space geometry theough chemical erosion, which dissolves and then shrinks solid grains, or mechanical erosion, which remove solid grains. The impacts of these distinct erosion mechanisms on two-phase flow behavior remain poorly understood, despite their broad relevance to subsurface processes raning from geological energy storage t
DaRUS2026 · dataset · unknown
Replication Data for: Numerical Investigation of Flash Evaporation of the Combined Injection of Liquid Oxygen and Gaseous Methane/HydrogenGeneral Information This dataset contains the OpenFOAM case files to generate the published data in: C. Sessler, J. W. Gärtner and A. Kronenburg, "Numerical Investigation of Flash Evaporation of the Combined Injection of Liquid Oxygen and Gaseous Methane/Hydrogen", Multiphase Science and Technology, Volume 37, Issue 4, 2025, pp. 1-19, doi: 10.1615/MultScienTechn.2025060461 The experimental data ca
DaRUS2026 · dataset · unknown
Data for: Transforming Laser-Scanned 750 kW Turbine Surface Geometry Data into Smooth CAD for CFD SimulationsKey points to ensure correct use of this data: Twist and chord: use the twist (adding 7.5° to it) and chord distributions of these blades together with the provided polars of each polar set (blade number and 2D/3D). Do not mix distributions between polar sets, or if you do, see the following sub-point: The twist, chord, and Reynolds number distributions are documented in technical-note-polar_twist
Teesside University Research Data Repository2026 · dataset
Numerical analysis of the impact of a flow diverter on cerebral artery hemodynamics with consideration of the smallest perforator branchesThis database contains the files used in the article, including: the numerical model of the flow diverter before crimping, the model of the flow diverter before expansion in the vessel, and the flow domain of the flow diverter inside the cerebral vessel.
DaRUS2026 · dataset · unknown
Data for: Pore-scale study of fluid-fluid interfacial area during primary drainage in porous media1. Introduction Fluid-fluid interfacial area plays an important role in many practical applications related to two-phase flow and mass transfer, such as enhanced oil recovery, CO2 sequestration, and groundwater contamination by non-aqueous phase liquids (NAPLs). This repository presents a reference workflow to investigate the influence of displacement regime, geometric disorder of the porous mediu
RADAR + RADAR4Memory2026 · dataset
Laminar Steady-State Flow in Periodic Open Cellular Structures (POCS) and Strut Arrangements - Data for Convective Heat Transfer and Pressure DropDieser Beitrag präsentiert numerische Daten zur einphasigen, stationär laminaren Durchströmung verschiedener periodisch offenenzelliger Strukturen (POCS) sowie unterschiedlicher Steganordnungen. Die Daten stammen aus numerischen Simulationen mit periodischen Randbedingungen. Als Fluid wird Wasser mit konstanten Stoffdaten verwendet und als thermische Randbedingung wird eine konstante Festkörperobe
Teesside University Research Data Repository2025 · dataset
MATLAB Code for Parametric Analysis of Generalized Couette Flow in Micropolar Fluids: Reynolds, Taylor and Micropolarity Parameter StudyThis MATLAB R2023b code performs a systematic parametric analysis of generalized Couette flow in a micropolar fluid with couple stresses. The study investigates the influence of three key dimensionless parameters: the micropolarity parameter s (ranging from 0.03 to 5.0), the Reynolds number Re (30 to 250), and the Taylor number Ta (10 to 250). The implementation is based on exact analytical soluti