webinar

Analyzing the process of filling a flexible pouch by coupling multi-flexible-body dynamics and particle-based CFD simulation

Investigating the effects of the parameters to select the optimal machine configuration

Date: November 9, 2022

Timetable: 15.00 CET

Speakers: Massimo Galbiati, Michele Merelli

Language: English

Analyzing the process of filling a flexible pouch by coupling multi-flexible-body dynamics and particle-based CFD simulation

Packaging companies are always striving to stay one step ahead of their competitors in providing the best solutions for maximal production capacity. Significant effort is devoted to the design of flexible machines: performance is expected to be high and consistent even if the packaged goods, packaging format, or packaging material are changed.

Moreover, regulatory restrictions are increasingly requiring new, sustainable materials. Their filling behaviour and in-machine dynamics is frequently unknown.

In this webinar, we will discuss how Coesia partnered with EnginSoft and the University of Trento’s Department of Industrial Engineering to digitally investigate and simulate the formation and filling of a stand-up pouch packaging machine (Doypack®). The approach combined mesh-less fluid dynamic (Particleworks) with a multibody software (RecurDyn) to achieve a fluid-structure fully coupled simulation.

Registration

The training is free of charge, with a limited number of participants to guarantee the quality of the training: you can register using the form in this web-page.

The training sessions will be live using the Zoom platform, that does not require any local installation.

The registrants will receive the instructions to connect to the Zoom platform after the registration.

Register now!

For more information:

Massimo Galbiati
Phone +39 035 368 711
m.galbiati@enginsoft.com

Find out more:

software

Particleworks

An advanced CFD Software solution, based on the Moving Particle Simulation (MPS) method

Particleworks is an advanced CFD Software solution, based on the Moving Particle Simulation (MPS) method.

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