Results 101 to 110 of about 58,603 (268)
Remote Visualization and Optimization of Fluid Dynamics Using Mixed Reality
Applied SciencesThis study presents an innovative pipeline for processing, compressing, and remotely visualizing large-scale numerical simulations of fluid dynamics in a virtual wind tunnel (VWT), leveraging virtual and augmented reality (VR/AR) for enhanced analysis ...
Sakshi Sandeep More +3 more
doaj +1 more source
A new drag and lift correlation for spherocylinders from fully resolved Immersed Boundary Method
AIChE Journal, EarlyView.Abstract Many industrial processes deal with non‐spherical particles, e.g., mineral mining and biomass conversion. It is crucial to understand the particles' hydrodynamics to control and optimize these processes. To extend the current state‐of‐the‐art from arrays of spherical particles to spherocylindrical particles, we performed extensive particle ...
A. H. Huijgen +4 more
wiley +1 more source
Flow characteristics and regime transitions in fluidization systems of Group C+ particles
AIChE Journal, EarlyView.Abstract Fine and ultrafine particles are attractive for fluidized bed reactors because their high surface area benefits catalytic processes, but their cohesive nature complicates regime characterization. Nanoparticle modulation improves the flowability of Group C powders, yet their bubbling to turbulent transition remains unclear.
Yue Song +3 more
wiley +1 more source
AI &Innovation, EarlyView.ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury +2 more
wiley +1 more source
Fine-tuning a large language model for automating computational fluid dynamics simulations
Theoretical and Applied Mechanics LettersConfiguring computational fluid dynamics (CFD) simulations typically demands extensive domain expertise, limiting broader access. Although large language models (LLMs) have advanced scientific computing, their use in automating CFD workflows is ...
Zhehao Dong, Zhen Lu, Yue Yang
doaj +1 more source
Lost in aggregation? On the importance of local food price data for food poverty estimates
American Journal of Agricultural Economics, EarlyView.Abstract This paper explores within‐country variations in food price dynamics and food poverty estimates by employing local market price data and national consumer price index (CPI) data. Our results show that national CPI data may be useful for approximating national trends but they fail to detect and identify spatial variations in local trends, which
Stephan Dietrich +4 more
wiley +1 more source
Asia-Pacific Journal of Chemical Engineering, EarlyView.ABSTRACT This study investigated sludge characteristics and greenhouse gas (GHG) emission from 16 anaerobic‐anoxic‐oxic (AAO) process wastewater treatment plants (WWTPs), 11 municipal and 5 industrial WWTPs, located in the Taihu Lake Basin, China. Influent/effluent water quality, sludge properties, operational parameters, GHG emission patterns, and ...
He Li, Zhirun Liu, Rajendra Prasad Singh
wiley +1 more source
Natural Built Social Environment HealthAs nations set ambitious targets to phase out internal combustion engine (ICE) vehicles and electrify transport and household systems, it is anticipated that there will be a surge in demand for electric vehicles (EVs), heat pumps (HPs), and electric ...
Joshua Martin +2 more
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Asia-Pacific Journal of Chemical Engineering, EarlyView.ABSTRACT Driven by the energy crisis and carbon neutrality goals, high‐efficiency heat exchange equipment has become a core demand in the industrial sector. The spiral grooved double‐pipe heat exchanger exhibits significant heat transfer enhancement advantages, yet it requires balancing heat transfer efficiency and pressure loss.
Yueyun Yang, Wei Li, Xiuzhi Xi, Neng Gao
wiley +1 more source
PyPlume: An Automated Python-Based Library for Analyzing Turbulent Plumes from bplume-WRF-LES Model
Journal of Open Research SoftwareWRF-bLES-Pyplume (PyPlume) is a generalized python-based library that has been developed to automate the computations of the plume characteristics, mean state, and turbulence characteristics of the plume and flow fields using the data generated from the ...
Thanh Tran, Kiran Bhaganagar
doaj +1 more source