Robust Incompressible FLow solver Enhancement

SCHEME: AFR PPP

CALL: 2019

DOMAIN: MS - Materials, Physics and Engineering

FIRST NAME: Martin

LAST NAME: Rehor

INDUSTRY PARTNERSHIP / PPP: Yes

INDUSTRY / PPP PARTNER: University of Luxembourg

HOST INSTITUTION: Rafinex

KEYWORDS: numerical simulation, scientific computing, computational mechanics, applied mathematical modelling, preconditioning, non-Newtonian fluids

START: 2020-01-01

END: 2021-12-31

WEBSITE:

Submitted Abstract

RIFLE aims to bring fundamental developments in state-of-the-art non-Newtonian flow solvers, namely, robust preconditioning strategies and advanced viscoelastic material constitutive models, to Rafinex’s in-house simulation products. Rafinex has strong customer interest from engineering small and medium enterprises in delivering their innovative stochastic design approach to engineering design problems involving processing of fluids, such as injection moulding and melt extrusion additive manufacturing. The project’s first research objective is to refine requirements definitions of industrial problems with pilot customers on potential mismatches between the processed viscoelastic fluid and the applied material model, which might be too simplifying, and to demonstrate the feasibility of the simulation with more advanced viscoelastic models. The project’s second research objective is to apply these models in optimisation problems requiring a large number of repetitive flow computations. Therefore, the flow solver that will be used as the core component of the optimisation algorithm has to be computationally efficient and robust. In this respect, the project focuses on the development of fast scalable parallel solvers for incompressible flows in combination with high-fidelity physics material models.

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