Results 201 to 210 of about 203,745 (355)

Coupled CFD-DEM modelling to assess settlement velocity and drag coefficient of microplastics

, 2020
Robin Jérémy, Gaston Latessa, Manousos Valyrakis   +2 more
openalex   +1 more source

Impact of Cattaneo–Christov Heat and Mass Flux on MHD Hybrid Nanofluid Flow Over an Extending Surface With Convective and Mass Flux Effects

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT This study investigates the flow of a magnetized hybrid nanofluid over a permeable stretching surface. The mass and thermal transport within the system is regulated using the Cattaneo–Christov flux theory. The fluid is additionally subjected to thermophoresis, chemical reaction, Brownian motion, and activation energy effects.
Ebrahem A. Algehyne, Abdul Bariq, Mounirah Areshi, Fahad Maqbul Alamrani, Zehba Raizah, Izharul Haq, Anwar Saeed   +6 more
wiley   +1 more source

Drag coefficients in hydraulic channel

For effective modeling and prediction of body behaviors on external fluid flows, in order to improve design and performance, it is crucial to comprehend the drag forces. The geometry of the body, the Reynolds number, and the roughness surface of the body, are some of the variables that affect the drag force.
openaire   +1 more source

Radiation‐Absorptive Heat Transport in Buoyancy‐Driven MHD Nanofluids Flow With Cross‐Diffusion and Chemical Interaction Effects Over a Vertical Moving Plate

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT This article investigates the Soret–Dufour cross‐diffusion effects on radiation‐absorptive unsteady free‐convection of magnetized nanofluids (TiO2–water$$ {\mathrm{TiO}}_2\hbox{--} \mathrm{water} $$ and Cu–water$$ \mathrm{Cu}\hbox{--} \mathrm{water} $$) flow over a vertical moving permeable plate.
B. Prabhakar Reddy, Jumanne Mng'ang'a, P. V. Kanaka Rao   +2 more
wiley   +1 more source

Broadening the semiaquatic scene: Quantification of long bone microanatomy across pinnipeds

The Anatomical Record, EarlyView.
Abstract Investigations of bone microanatomy are commonly used to explore lifestyle strategies in vertebrates. While distinct microanatomical limb bone features have been established for exclusively aquatic and terrestrial lifestyles, identifying clear patterns for the semiaquatic lifestyle remains more challenging.
Apolline Alfsen, Christian de Muizon, Olivier Lambert, Giovanni Bianucci, Antonia R. Kaffler, Matthew R. McCurry, Alexandra Houssaye, Rafael M. Varas‐Malca, Rodolfo Salas‐Gismondi, Oliver Hampe, Eli Amson   +10 more
wiley   +1 more source

Impact of Sea Drag Coefficient on Sea Physical Structures under Typhoon Condition

, 2014
Junichi NINOMIYA, Nobuhito Mori, Tomohiro YASUDA, Hajime MASE, Luca Centurioni, Eric A. D’Asaro   +5 more
openalex   +2 more sources

Predictors of authorised, unauthorised and persistent absence among secondary school pupils in Scotland

British Educational Research Journal, EarlyView.
Abstract This article examines the factors associated with persistent absenteeism (an absence rate of 10% or higher) and authorised and unauthorised absence among secondary school pupils in Scotland. Using linked administrative data, the analysis focuses on secondary school stages S1–S6 in three academic years.
Silvia Behrens, Morag Treanor, Patricio Troncoso, Bethany Lee‐Shield, Emma Russell, Lee Williamson, Cecilia Macintyre   +6 more
wiley   +1 more source

Optimizing avian flight dynamics with a synergetic bio-inspired and machine learning approach. [PDF]

Front Robot AI
Khalid W, Leontiuk V, Kastalskiy I, Kazantsev VB.   +3 more
europepmc   +1 more source

Closed-form equations for the lift, drag, and pitching-moment coefficients of airfoil sections in subsonic flow

, 1978
Richard L. Smith
openalex   +1 more source

Addressing Small Data Challenges in Biopharmaceutical Development and Manufacturing: A Mini Review of Multi‐Fidelity Techniques

Biotechnology and Bioengineering, EarlyView.
ABSTRACT The growing demand for biopharmaceutical products reflects their effectiveness in medical treatments. However, developing new biopharmaceuticals remains a major bottleneck, often taking up to a decade before market approval. Machine learning (ML) models have the potential to accelerate this process, but their success depends on access to large
Mohammad Golzarijalal, Uwe Aickelin, Ellen Otte   +2 more
wiley   +1 more source