Waters designs and manufactures state-of-the-art mass spectrometry systems, widely used in the pharma, chemical, food and other industries to measure substances’ unique chemical ‘fingerprints. In this fiercely competitive market, the key to success is to add new types of functionality to the systems – a complex, time-consuming process that can require years to develop a sales-ready product upgrade. Even using powerful simulation software, the company has only been able to model potential system improvements in isolation from each other. To integrate new components simultaneously and seamlessly into its products and cut time to market, Waters needs to achieve a step-change in the speed, sophistication and versatility of its modelling and simulation capabilities.
Waters recognised the potential to achieve this goal by tapping into the Hartree Centre’s exceptional suite of software skills and hardware facilities. With 50% funding from Innovate UK, a 3-year KTP is providing full-time support for a Hartree Centre expert to tailor ANSYS Fluent software – a widely used computational fluid dynamics (CFD) tool – to the company’s specific needs. The KTP is also enabling Waters to run simulations on multiple compute cores at the Hartree Centre (running simulations of the required scale in-house would simply not be viable) as well as providing access to a range of supporting specialist expertise (e.g. in Monte Carlo simulations used to model molecular gas interactions with ions).
The Hartree Centre’s input is equipping Waters to layer a variety of user-designed functions onto the basic Fluent software package. This makes it possible, for example, to integrate the effects of key parameters (e.g. electrostatic field, space charge and flow field) on ion motion into its mass spectrometry systems, resulting in improved electrospray source models. Waters is confident that the KTP will enhance the performance of its product offerings and increase its share of key instrument markets.
"Our work with the Hartree Centre has, in particular, enhanced our ability to predict the behaviour of ion populations in atmospheric pressure ion sources."
Dr Steve Bajic