Results 51 to 60 of about 16,674 (255)

Residual Strength Prediction of Chemically Reactive Two‐Phase Nanofluid Flow in a Bingham–Papanastasiou Rheological Theory Using a Morlet‐Based Wavelet Neural Network Approach

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT The behavior of nanofluid flow involving a zero‐mass flux condition has received considerable interest because of a realistic scenario. In reality, this condition confines the optimistic accumulation or disappearance of nanoparticles past a sheet, constructing a more physically realistic demonstration through several applications, such as heat
Umair Khan, Hamza Rauf, Aurang Zaib, J. K. Madhukesh   +3 more
wiley   +1 more source

MHD Maxwell Hybrid Nanofluid Transport Featuring Solar Radiation and Thermo‐Diffusive Impacts Over a Permeable Slanted Stretching Sheet

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT Hybrid nanofluids have emerged as next‐generation working fluids for advanced engineering application due to their superior heat transport capability in relation to the conventional nanofluids. Motivated by the rising demand for accurate prediction of transport phenomena under realistic operating situations, the present study examines the ...
B. Prabhakar Reddy, Swatmaram, Jumanne Mng'ang'a, Jason M. Mkenyeleye   +3 more
wiley   +1 more source

Numerical Investigation of Stage Separation Control of Tandem Hypersonic Vehicles Based on Lateral Jet

Aerospace
The stage separation of hypersonic vehicles is critically challenged by severe aerodynamic interference, which induces significant attitude deviations and jeopardizes subsequent flight missions.
Wenhua Guo, Jiawei Fu, Pengzhen He, Shuling Tian   +3 more
doaj   +1 more source

Computational Role in Thermal Engineering and Chemical Analytics During the Rotating Disk of Generalized Williamson Viscosity and Thermal Conductivity

Advanced Physics Research, EarlyView.
The schematic diagram shows the flow configuration of the model. The swirling flow of shear‐thinning materials is significantly investigated under the influence of mixed convection. In addition, heat and mass transfer flow characteristics along with gyrotactic microorganisms is also investigated. ABSTRACT Thermal conductivity, temperature gradient, and
Latif Ahmad, Hafiz Ur Rahman, Umair Khan, Syed Modassir Hussain   +3 more
wiley   +1 more source

A General Workflow for Tangential Flow Filtration Perfusion Scale‐Up

Biotechnology and Bioengineering, EarlyView.
ABSTRACT Tangential flow filtration (TFF) perfusion using hollow‐fiber modules offers substantial advantages over other mammalian cell retention technologies. Recently, increased awareness of Starling flow has helped to enhance filtration performance to similar, or even higher levels compared to alternative technologies.
Patrick Romann, Ken Lee, Venkatesh Natarajan, Daniel Ley, Claes Nymand Nilsson, David Garcia‐Munzer, Dominik Schieman, Mahbod Hajighasemi, Alex Zaytsev, Jason Friedman, Loic Chappuis, Tobias Habicher, Colin Jaques, Alex Cohen, Matthew Gagnon, Edward Chan, Daniel J. Karst, Philip Giller, Antony Sibilia, Andrew L. Zydney, Thomas K. Villiger   +20 more
wiley   +1 more source

Unsteady Flow In A Labyrinth Seal

, 2018
Unsteady flow phenomena in turbomachinery are a source of aerodynamic losses and can adversely affect the durability of an engine. Examples for such flows are the flow through the cavities of the turbine hub or shroud labyrinth and rim seal. The re-entering flow causes mixing losses with the main flow and increases incidence on the following stator. In
Wein, Lars, Seume, J. R., Herbst, F.
openaire   +2 more sources

Methodological Approach for Particle Transport: Analyzing Influential Factors and Comparing Simulation Software

Chemie Ingenieur Technik, EarlyView.
This study determines the dust filtration behavior of venting tubes in automotive headlights. Numerical simulations using Meshfree and STAR‐CCM+ and suitable experiments were conducted to analyze the airflow field, the particle transport, and the filtration efficiency.
Cornelia Müssig, Alexander Kabat vel Job, Stephan Knorr, Henning Meyer, Daniel Wiest   +4 more
wiley   +1 more source

Aerodynamic Prediction and Design Optimization Using Multi-Fidelity Deep Neural Network

Aerospace
With the rapid development of data-driven methods in recent years, deep neural networks have attracted significant attention for aerodynamic predictions and design optimizations.
Bingchen Du, Ennan Shen, Jiangpeng Wu, Tongqing Guo, Zhiliang Lu, Di Zhou   +5 more
doaj   +1 more source

Assessment of Gibbs Free Energy Calculation in PI‐Controlled Heating

Chemie Ingenieur Technik, EarlyView.
For description and control of chemical processes in lab or industry thermodynamic variable Gibbs free energy provides opportunity to compare and interpret phenomena, even on a quantitative level. In a case study for PI‐controlled heating, impacts on its limits from control delay until parameter quantization are highlighted and assessed.
Jannik Dutschke, Samira Johanna Geiger, Liane Andrea Haufe, Sebastian Kaiser, Markus Seifert   +4 more
wiley   +1 more source

Comparison of modelling approaches for liquid fluidized beds

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract This study presents a comparison of three promising numerical models for the detailed simulation of liquid–solid fluidized bed. These models differ in their treatment of the solid phase, ranging from treating each particle individually to treating the collection of particles as a continuum.
Andreu Bernad‐Serra, Furkhat Khamitov, Olli H. Sorvari, Ville Alopaeus   +3 more
wiley   +1 more source