Increasing the predictability of E-beam processing: practical cases & evidences
Arnaud Pierard1, Jeremy Brison1.
1Ion Beam Applications, Louvain-la-Neuve, Belgium
E-beam processing is widely accepted as an effective irradiation modality for a large number of applications. The modality has been repeatedly demonstrated to be clean, efficient, quick and affordable. As such, it presents an enticing alternative to other modalities such as Ethylene Oxide processing, Gamma and X-ray irradiation.
However, E-beam is also known to be more sensitive than other modalities to changes in underbeam configuration, product geometry, density and packaging, as well as beam energy spectrum and dispersion angle. This sensitivity makes the transfer of products from another modality to E-beam processing a complicated process. Furthermore, transferring products between E-beam facilities requires going through a requalification process, even between supposedly identical irradiators.
To address these issues, better characterization and monitoring of the beam parameters must be ensured. This study aims to show that it is possible to capture enough information about the beam to be used in a Monte Carlo model to accurately predict the dose distribution for any product in a given irradiation facility. This makes it possible to evaluate beforehand the impact of transferring a product from one facility to another and thus save time for the requalification process.
Evidence will be presented that shows a good match between Monte Carlo simulation data and experimental dose mapping data, for multiple products and different electron accelerators and conveying systems. A corollary of this study is that site equivalence - that is, that two facilities are virtually identical when it comes to the effect the beam has on a product - for E-beam irradiators might be possible, provided all the beam characteristics are properly monitored and their values are identical.