Materials Processing Group (MPG)
Organisation profile
The Materials Processing Group (MPG) is an innovative and multidisciplinary research group,
our activities are mainly focusing on process modelling, optimisation, robustness and control.
Motivation
The materials processing group has as its main objectives to develop methods and tools
focusing on process stability and robustness. The group finds that the ability to model and
analyze complex and often non-linear processes is the foundation for process insight and
optimization. Furthermore, experimental verification of the models is essential for developing
accurate and robust numerical models.
The ability to develop accurate process models opens new possibilities and new research
opportunities, e.g. the non-linear finite element analysis can be combined with a numerical
optimization scheme, enabling an iterative structured search for an optimal process/product
configuration.
Competences
The most relevant competences within the research group for the Materials Processing Group are outlined below:
- finite element
- plasticity
- numerical optimisation
- control engineering
- iterative learning
- material modelling and characterisation.
Research
The research group is currently expanding its activities, focusing on the development of new
active tool designs, feedback control and machine learning.
The main research activities and associated tools and methods are summarized below:
Process Modelling (nonlinear finite element simulation)
Process redesign through:
- Process insight and analysis
- Numerical Optimization
Process control and stabilization
- Process robustness - robust tool design
- Active tools
- Feedback control
- Machine learning / Iterative learning control
Material and process characterization
- Classical characterization methods
- Inverse modelling
- Online process measurements: Strains, forces, displacements
- 3D strain analysis
Experimental facilities
Modern triple action hydraulic press 375/150/50ton, 3D strain analysis,
3D-coordinate measuring machine, 3D characterization of surface roughness, material
characterization equipment e.g. tensile testing, marziniak testing, real time equipment, etc.
Computation facilities: Linux Cluster, state of the art finite element code (LS-Dyna and Ansys),
Matlab etc.
Contact information
Fibigerstræde , 16
9220, Aalborg Øst
- Phone: + 45 99 40 71 17
- Fax: +45 99 40 71 10
- E-mail: info@m-tech.aau.dk
Publications
(7)- Published
A novel feedback control system – Controlling the material flow in deep drawing using distributed blank-holder force
Publication: Research - peer-review › Journal article
- Published
The best way possible! A fieldwork study outlining patients’ expectations and need for nursing care in an endoscopic facility for sthort-term stay
Publication: Research - peer-review › Journal article
- E-pub ahead of print
What to know and how to get to know? A fieldwork study outlining the understanding of knowing the patient in facilities for short-term stay
Publication: Research - peer-review › Journal article
Most frequent journals
Journal of Materials Processing Technology
ISSNs: 0924-0136
Elsevier S.A., Switzerland
Central database
Journal
A I P Conference Proceedings Series
ISSNs: 0094-243X
Springer New York LLC, United States
Central database
Journal
Scandinavian Journal of Caring Sciences
ISSNs: 0283-9318
Wiley-Blackwell Publishing Ltd., United Kingdom
Central database
Journal
Journal of Advanced Nursing
ISSNs: 0309-2402
Wiley-Blackwell Publishing Ltd., United Kingdom
Central database
Journal
Press clippings
(4)DSB skjuler den fulde IC4-regning
Press clipping
DSB sKjuler den fulde IC4-regning
Press clipping
Eksperter: Nye signaler for dyre
Press clipping
Latest activities and conferences
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