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4 results for “Working Fluid”
General characteristics of the working fluids for LHP cooling system design
<p>The EVAL project aims to create a demonstrator of a passive cooling system, based on a loop heat pipe (LHP) technology, for efficient thermal management of the Ultra High Bypass Ratio (UHBR) engine bleed system valves exposed to a harsh temperature environment.</p> <p>To achieve this aim, the EVAL team started from a comprehensive study of available working fluids, which have a potential to cope with the target harsh environment and meet the criteria of trade-off analysis such as physical properties (melting and critical temperature, saturated vapour pressure, figures of merit), physical and chemical stability at high temperatures, compatibility with common LHP materials, availability at the market. Also, particular attention is paid to the working fluid environmental impact in terms of ozone-depleting potential (ODP), global warming potential (GWP), compliance with REACH regulations.</p> <p>This data collection presents characteristics of working fluids collected from various sources (specialized databases e.g. ASHRAE, NIST), research articles, conference proceedings, research projects summary reports, data furnished by the thermal fluid manufacturers) and compiled in three Annexes:</p> <ul> <li>Annex A presents data as for ODP, GWP and REACH compliance for 728 working fluids.</li> <li>Annex B presents boiling temperature and critical temperature for 728 working fluids.</li> <li>Annex C presents key thermophysical properties for 32 fluids selected as prospective refrigerants for the EVAL project purposes.</li> </ul> <p>In general, data collection analyses a wide range of working fluid groups: hydrocarbons, oxygenated hydrocarbons, hydrochlorofluorocarbons, chlorofluorocarbons, hydrofluorocarbons, bromocarbons, hydrobromocarbons and halons, fully fluorinated species, halogenated ethers, fluoroesters, halogenated alcohols, iodocarbons special compounds, mixtures, and others.</p>
Computational results and python files for the work "Divergence-conforming velocity and vorticity approximations for incompressible fluids obtained with minimal facet coupling"
<p><br> This repository contains data accompanying the paper "Divergence-conforming velocity and vorticity approximations for incompressible fluids obtained with minimal facet coupling".</p> <p>The implementation is based on the python-interface of the NGSolve open source Finite Element library (ngsolve.org).</p> <p>The file solve_problem_allione.py represents a minimum working example where the proposed MCS/HDG (set the use_MCS flag) method is used to solve the problem from the numerics section of the paper.</p> <p>The files FlowTemplates.py and krylovspace_extension.py contain a somewhat larger and more modular implementation of the proposed method that also features preconditioned iterative solvers, including support for the NgsAMG NGSolve extension library as well as the NGSolve-PETSc interface.</p> <p>The files errors_hdg.pickle, errors_mcs.pickle and kappas.pickle contain the raw data the tables and pictures in the paper were generated from.</p> <p>This data was generated with the scripts conv3d_hdg.py, conv3d_mcs.py and calc_kappas.py which use the FlowTemplates.py infrastructure.</p>
Dataset: A new working fluid for condensation particle counters for use in sensitive working environments
<p>Dataset used for the puplication in Aerosol-Research: A new working fluid for condensation particle counters<br> for use in sensitive working environments</p>
Fluid at Work Study
ClinicalTrials.gov study NCT05260840. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
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OpenNeuro
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