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Correlations for the Viscosity and Thermal Conductivity of Ethyl Fluoride (R161)
Ch M Tsolakidou1, M J Assael1, M L Huber2
1Laboratory of Thermophysical Properties and Environmental Processes, Chemical Engineering Department, Aristotle University, Thessaloniki 54636, Greece.
New correlations for ethyl fluoride (R161) viscosity and thermal conductivity are presented, based on experimental data. These correlations are compatible with a recent equation of state, offering reliable predictions across a wide temperature and pressure range.
Area of Science:
- Thermodynamics
- Fluid Properties
- Chemical Engineering
Background:
- Accurate thermophysical property data are crucial for chemical process design and optimization.
- Ethyl fluoride (R161) is an important industrial chemical, necessitating reliable property correlations.
- Existing data for R161's viscosity and thermal conductivity may lack sufficient accuracy or range.
Purpose of the Study:
- To develop and present new, wide-ranging correlations for the viscosity and thermal conductivity of ethyl fluoride (R161).
- To ensure these correlations are consistent with a recently published equation of state for R161.
- To provide accurate property predictions for R161 across a broad range of temperatures and pressures.
Main Methods:
- Critically evaluating and compiling experimental data for ethyl fluoride viscosity and thermal conductivity.
- Developing mathematical correlations based on the evaluated experimental data.
- Validating the correlations against independent data and ensuring consistency with the equation of state.
Main Results:
- New correlations for viscosity and thermal conductivity of ethyl fluoride (R161) were established.
- Correlations are valid for temperatures from 130 K to 450 K and pressures up to 100 MPa.
- Estimated uncertainties are within 2-3% for viscosity and thermal conductivity in specified ranges.
Conclusions:
- The developed correlations provide accurate and reliable values for ethyl fluoride's viscosity and thermal conductivity.
- These correlations enhance the predictive capabilities for R161 properties, especially when used with the associated equation of state.
- The correlations are suitable for engineering applications within the defined operational ranges, with awareness of increased uncertainty near the critical region.
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