An Empirical Model of Human Aspiration in Low-Velocity Air Using CFD Investigations

作者: T. Renée Anthony , Kimberly R. Anderson

DOI: 10.1080/15459624.2014.970273

关键词: Experimental dataComputational fluid dynamicsLinear regressionSimulationMechanicsSampling (statistics)FreestreamHuman headLinear modelEnvironmental scienceEmpirical modelling

摘要: Computational fluid dynamics (CFD) modeling was performed to investigate the aspiration efficiency of human head in low velocities examine whether current inhaled particulate mass (IPM) sampling criterion matches an inhaling airflows common worker exposures. Data from both mouth and nose inhalation, averaged assess omnidirectional efficiencies, were compiled used generate a unifying model relate particle size head. Multiple linear regression empirical estimate included as well breathing freestream dependent variables. A new set simulated efficiencies generated test fit models. Further, relationships between conditions CFD estimates compared experimental data mannequin studies, in...

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