Predicting coupled dynamic systems under variations

Deadline

Predicting coupled dynamic systems under variations

Challenge

Numerous manufacturing processes and machines depend on a mutual interaction between a fluid (air, liquid, lubricant) and a structure ((moveable) machine part, objects). Examples are:

  1. Air actuated systems (e.g., yarns in air jet weaving, crop transport with air flows); and
  2. Elastohydrodynamic lubrication (e.g., wire drawing).

To improve the design and operation, you need appropriate tools. An end-to-end approach could support this:

  1. High-fidelity design models are leveraged during operation for machine control and optimization;
  2. Models are upgraded with data from the machine operation.

There are two additional challenges:

  1. To increase the value of these models, by accounting for key variations of the properties (e.g. viscosity), conditions (e.g. yarn roughness) and geometries (e.g. particle sizes); and
  2. Opening up the use of camera’s to observe the operation tackling the challenges related to the amount of data and capturing thin/long, numerous objects at high speed.

Project goal

This project will start from state-of-the-art fluid-structure interaction (FSI) models and make them suitable for calculations including main uncertainties. As part of the our approach, we will develop methods that include large amounts of data from existing sensors as well as data from cameras. Based on the high-fidelity models, we will develop further fast models suitable for controllers. We further close the end-to-end loop by including the behaviour of these controllers in the simulation models.

Interested?

PICASSO_SBO is a Strategic Basic Research (SBO) project. We are looking for companies to join the User Group and work with us on the valorisation of the project.

Interested? Complete the form below and we will contact you as soon as possible.