Industrial digitalization and multiscale modelling

The „Industrial digitalizaiton and multi-scale modeling” research group conducts research focused on implementing digital solutions in the fields of Industry 4.0 and 5.0. We specialize in computer-aided design for production processes, multi-scale modeling, and developing support systems based on advanced technologies, including IoT systems for production monitoring, VR and AR technologies for training, and multi-scale simulations involving complex rheological and full-field microstructural analyses. Our laboratories are equipped with state-of-the-art apparatus that facilitates digital transformation in industry. This includes computational servers, specialized software for numerical simulations using mesh and mesh-free methods, or Odyssey A-Eye AI systems, which enable a numerical analysis of industrial processes and material behaviour during thermomechanical processing. We also develop reverse engineering systems featuring blue-light scanners, 3D printers, and robotic production stations that support rapid prototyping, 3D modelling of complex objects, the production of finished goods, and precise quality analysis. Our VR and AR goggles assist technologists in both training and machine deployment as well as maintenance. Research on dedicated vision systems utilizing multispectral cameras, depth perception, motion tracking, and spatial AI facilitate research in defect identification and dimensional measurement of products in industrial conditions. Additionally, we have a microforming press that is compliant with Industry 5.0 principles, enabling research into miniaturization of forming processes and leveraging advanced sensors and IoT-based data processing. Our solutions and equipment enable comprehensive process optimization, increased production efficiency, and the implementation of digital innovations. We encourage you to contact us to jointly conduct research and support your technological needs in adopting innovative production technologies.

Development of full field three dimensional multi scale numerical model of microstructure evolution based on digital material representation and evaluation of influence of model reduction on calculation accuracy (UMO-2017/27/B/ST8/00373)

Rapid prototyping of sheet metal parts using intelligent 3D-printed dies (CORNET/29/2/2021)

Development of the full field model of dynamic recrystallization based on the hybrid random cellular automata and finite element method (UMO-2019/35/B/ST8/00046)

ABB Sp. z o.o.

ArcelorMittal Poland

BHH Mikrohuta Sp. z o.o.

BHH Mikromed Sp. z o.o.

Brandenburg University of Technology Cottbus-Senftenberg Freiberg

CEMEF MINES ParisTech

Evoluma Claster CMC Poland Sp. z o.o.

Cognor SA odział HSJ w Stalowej Woli

CREATEC Sp. z o.o.

Czestochowa University of Technology

Deakin University

Elcap Robotics

Explomet

Fraunhofer-Institut für Werkzeugmaschinen und Umformtechnik (IWU)

Friedrich-Alexander-University of Erlangen-Nürnberg

Institute of Fundamental Technological Research

Institut of Metalurgy and Materials Science

Konstruktion sp. z o. o.

KU Leuven

Kuźnia Jawor SA.

Lehigh University, Bethlehem

Leuphana University Lüneburg

Los Alamos National Laboratory

Łukasiewicz – GIT, PIT

Middle East Technical University

Mondragon University

Opole University of Technology

Progress Screens

Reversesolutions

ROBIMAX

Royal Canin Polska sp. z o.o.

RWTH Aachen University

Rzeszów University of Technology

Schraner Polska Sp. z o.o.

Sheffield University

Silesian University of Technology

Sirris R&D

Stalgast sp z o. o.

STALMAX Sp. z o.o.

STAL-MET F.P.U.H

Swiss Federal Laboratories for Materials Science and Technology

Technische Universität Bergakademie Freiberg

Universite Catolique de Louvain UCL

University of Bremen

University of Michigan

University of Padua

University of Tokyo

Università degli Studi di Napoli Federico II

Warsaw University of Technology

West Pomeranian University of Technology

Wrocław University of Science and Technology

Zarmen FPA Sp. z o.o.