Digital Engineering for Inhalers: Robust Design Optimization of pMDI Valves

Name: Digital Engineering for Inhalers: Robust Design Optimisation of pMDI Valves
Start: 2026-03-24T15:00:00Z
End: 2026-03-24T16:00:00Z

Modelling and simulation (M&S) plays an increasingly critical role in Bespak R&D, supporting robust design optmisation, manufacturing efficiency, and the transition to more sustainable inhalation technologies. This webinar describes how advanced finite element analysis (FEA), meta-models of performance (MOP), and model-based systems engineering (MBSE) are applied across the pMDI product lifecycle, from design through manufacture. The results demonstrate how opportunities to relax tolerance limits can be identified without compromising device performance and quality, offering clear potential to reduce manufacturing waste. The webinar concludes by outlining recent developments and future work, including viscoelastic material modelling, plans for in silico clinical trial methodologies, and the integration of M&S within a digital engineering workflow to support next-generation inhaler technologies and the transition to low-GWP propellants.

Date/Time:
April 9th, 2026
11:00 AM EST / 4:00 PM GMT / 5:00 PM CEST

Venue:
Virtual

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Overview

Bioreactor performance is driven by fluid dynamics that influence mixing, mass transfer, shear, and overall process efficiency. This webinar presents practical approaches to modeling and analyzing fluid behavior using computational fluid dynamics (CFD) and data-driven tools.

Attendees will learn how simulation supports mixing optimization, oxygen transfer improvement, and reliable scale-up from development to manufacturing. Real-world examples will demonstrate how fluid modeling reduces risk, accelerates process development, and strengthens process understanding in biopharmaceutical production.

What Attendees Will Learn

Understand core fluid dynamics principles in bioreactors — including mixing regimes, shear distribution, oxygen transfer, and multiphase flow behavior in stirred-tank and single-use systems.
Apply advanced modeling tools — such as computational fluid dynamics (CFD) and data-driven approaches to predict mass transfer, optimize impeller configurations, and evaluate scale-up risks.
Translate modeling insights into process improvements — using simulation results to enhance productivity, reduce development time, improve scalability, and support regulatory documentation.

Who Should Attend

Bioprocess Engineers, Upstream Process Engineers, Process Development Scientists, Modeling & Simulation Specialists, MSAT Professionals, Biomanufacturing Engineers

Speakers

Karl Bass, PhD, Principal Model Based Systems Engineer, Bespak