2026-10-12T14:33:19Z https://data.mendeley.com/oai

oai:data.mendeley.com/9k6cw3k3ck.1 2026-06-05T21:19:33Z

Ramirez-Dolores, Cesar High-Resolution Interpolated Coefficient Dataset for Enhanced Application of the Tsilingiris Humid Air Viscosity Model (50–90% RH) Mendeley Data 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. 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. Thermodynamics Air Viscosity Thermophysics López-Liévano, Daniel Alcalá, Gerardo Dataset doi:10.17632/9k6cw3k3ck.1 oai:data.mendeley.com/9k6cw3k3ck.1 Creative Commons Attribution 4.0 International http://creativecommons.org/licenses/by/4.0 https://data.mendeley.com/datasets/9k6cw3k3ck 2026-06-05T21:19:33Z