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D Vaumousse

Publications and source records attributed to D Vaumousse.

2 recordsLinked to original sources

Numerical modelling of mass resolution in a scanning atom probe.

We have recently suggested a novel method for improving mass resolution in the scanning atom probe (SAP), based on a post-deceleration scheme. A two-conductor counter electrode is used, and the high voltage pulse is applied to the front conductor, with the rear conductor being held at ground. For a separation between the two conductors of 100 microm or less, ions travel between the two while the pulse is essentially constant, so that the ion leaves the counter electrode with an energy equivalent to the applied d.c. potential. In this paper, we have used a numerical model for the electric fields in the SAP to verify the results of the simpler analytical approach used earlier. In particular, the ion acceleration in the vicinity of the tip, previously assumed to be instantaneous, was modelled using a hyperboloidal field approximation. The numerical model was used to calculate the flight time for ions having a range of masses and evaporating over a range of times at the peak of a high voltage pulse. Modelled mass resolutions, calculated in this way, were then compared with analytical expressions, and were found to agree very well. This shows that the earlier assumption of an instantaneous acceleration did not seriously affect the validity of the approach.

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A procedure for quantification of precipitate microstructures from three-dimensional atom probe data.

New analysis software for selecting and quantifying particles in three-dimensional atom maps has been designed. The selection of solute-rich regions is performed by connecting solute atoms which lie within a fixed distance (d), and taking clusters above a certain minimum number of solute atoms (N(min)). Other atoms within some distance L greater than d are taken to belong to the cluster. However, this results in the inclusion of a shell of matrix atoms, which must be removed through an erosion step, to define the final cluster. Data filtered in this way can be used for subsequent quantification of parameters such as size, shape, composition, number density and volume fraction with better accuracy than by manual selection. The choice of d, N(min) and L values is discussed and some methods of evaluation of these parameters are proposed. Examples are presented on the application of this new software to the analysis of early stage clustering in an Al-Mg-Si-Cu alloy and a copper-containing steel.

Journal Article↗