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Data · dataset · 2026

High-Resolution Interpolated Coefficient Dataset for Enhanced Application of the Tsilingiris Humid Air Viscosity Model (50–90% RH)

Listed in Teesside University Research Data Repository

This dataset contains an extended set of coefficients derived from the humid air viscosity model proposed by Tsilingiris (2018) for engineering calculations involving moist atmospheric air.

Description

The original publication provides coefficient values for relative humidity levels between 0% and 100% at intervals of 10 percentage points. To improve numerical implementation and facilitate computational applications requiring finer humidity resolution, additional coefficient values were generated through linear interpolation between the original published coefficients.

The resulting dataset focuses on the relative humidity range from 50% to 90%, where many HVAC, thermal engineering, renewable energy, indoor air quality, and environmental applications commonly operate. The interpolated coefficients enable a more detailed representation of humidity-dependent viscosity behavior without altering the original mathematical formulation proposed by Tsilingiris. The coefficients were generated at 0.10% RH resolution using piecewise linear interpolation between the original 10% RH coefficient intervals reported by Tsilingiris (2018), within the 50–90% relative humidity range.

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Where it is published

Catalogue records · 1

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Turbulent flows 77%
Provenance · 1 source records, 11 field assertions
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Teesside University Research Data Repositoryoai:data.mendeley.com/9k6cw3k3ck.19 d agoJSON v1
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