Abstract
This work presents an open-source computational model of gas flow and hydrogen combustion in a miniature diffusion flame atomizer.
Highlights
Hydride generation (HG) combined with atomic uorescence (AF) or atomic absorption (AA) spectrometry for determination of hydride forming elements is a viable alternative to the conventional approaches based on liquid phase sampling inductively coupled plasma mass spectrometry.[1]
The most o en employed hydride atomizer for AF is a miniature diffusion ame (MDF)[2,3,4,5,6,7] but it can be very useful for AA spectrometry.[4,8]
The theory describing what happens in atomizers – the radical theory of hydride atomization[4,9,10,11] is based on the formation of free hydrogen atoms (H radicals) at a concentration several orders of magnitude above the equilibrium
Summary
The aim of this was to work was to prove that a predictive computational model of the processes in a MDF can facilitate much easier optimization of the atomizer. We assess the sensitivity of the model results to uncertain experimental parameters (laboratory conditions, tube diameter and air contamination). This analysis provides insight into the uncertainty of both the model and the experiment and reveals factors to which the distribution of H radicals is most sensitive. 14, this work offers model validation which is immediately relevant for analytical chemistry applications and, above all, it provides the model itself as a scienti c instrument To our knowledge, this is the rst openly available numerical model of diffusion co- ow ames
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