I³MS - Boyaval Seminar
Dr. Sebastien Boyaval - Modelling Micro-Structured Flows : Recent Results, and Application to Viscoelastic Fluids
Laboratoire d'hydraulique Saint-Venant, Ecole des Ponts ParisTech, France
CANCELED-I³MS - Chinesta Seminar
Prof. Dr. Francisco Chinesta - Hybrid-Twins: When Data-Driven Mechanics Joins Advanced Model Order Reduction to Define Real-Time Dynamic Data-Driven Application Systems
Department of Computational Mechanics, École Centrale de Nantes, France
In the previous (third) industrial revolution digital twins (able to emulate a physical system from the accurate solution of the mathematical model expected describing it) were major protagonists, making accurate analyses and designs possible. Numerical simulation is nowadays present in most of scientific fields and engineering domains, making possible the virtual evaluation of systems responses and alleviating the number of experiences on the real system that the numerical model represents. However, usually, virtual models (digital twins) are static, that is, they are used in the analysis and/or design of complex systems, but they are not expected to accommodate or assimilate data so as to define dynamic data-driven application systems. The characteristic time of standard simulation strategies is not compatible with the real-time constraints compulsory for control purposes or augmented reality environments.
Moreover, in practice, significant deviations between the predicted and observed responses are noticed, limiting the use of digital twins in many applications requiring online adaptation. In that situation control-based approaches were and are usually retained, in which the system is condensed into a goal-oriented transfer-function for which, despite of its effectiveness, the amount of information manipulated remains quite limited to do not compromise the compulsory real-time feedback.
The origin of the just referred deviations between predictions and measurements is due to (i) inaccuracies in the employed models that sometimes continue to be crude approximations/descriptions of the real systems; (ii) to the fact that in many cases models evolve in time in an “a priori" almost unpredictable manner; and (iii) inaccuracies in the determination of the model parameters or in their time-evolution.
Thus, nowadays, it is generally accepted the urgent need of more reliable modeling approaches as well as the dynamic assimilation of collected data on running simulations, for defining efficient Dynamic Data-Driven Application Systems - DDDAS. DDDAS consist of three main ingredients: (i) a simulation core able to solve complex mathematical or data-driven models under real-time constraints; (ii) advanced strategies able to assimilate data; and (iii) a mechanism to adapt the model online to evolving environments (that could imply the model change and not only the change of the parameters that an “a priori" assumed model involves). Hybrid-Twin embraces these three functionalities into a new paradigm in simulation-based engineering, and more concretely a cyber-physical-system framework.
I³MS - Nóbrega Seminar
Prof. Dr. Juan Miguel Nóbrega - Computational Rheology and Polymer Processing at the University of Minho
Department of Polymer Engineering, University of Minho, Portugal
Nowadays, aiming an efficient use of resources, the advantages of employing numerical modelling tools to assist any design activity are consensual. Therefore, there are countless modelling software packages available, both commercial and open-source, which can be used to study extremely complex systems.
In the past, the open-source numerical codes presented very specific/limited capabilities and were developed by small research teams. Nowadays, some communities that develop and work with open-source codes are substantially enlarged and better organised. Hence, given the large range of skills covered by the development teams, some of these open-source codes cover a very wide range of applications. One successful case of this type is the OpenFOAM® computational library, which can model complex multiphysics systems, covering both fluid and solid behaviours, being fully parallelized. One of the main advantages of OpenFOAM® is its adaptiveness, resorting to a symbolic programming language, that allows a straightforward development of new applications for the resolution of specific problems, not available on the distributed releases.
This talk will begin with a brief presentation of the OpenFOAM® computational library, its main features and capabilities. Then, several ongoing/recent case studies in the frame of computational rheology, polymer processing and related applications will illustrate its potential.
4th International Conference on Computational Engineering (ICCE 2017)
The International Conference on Computational Engineering (ICCE), which takes place from Thursday, September 28, to Friday, September 29, 2017, provides a meeting place for researchers and practitioners working on computational methods in all disciplines of engineering and applied mathematics, with a special focus on doctoral researchers and young scientists. The aim of the conference is to discuss the state of the art in this challenging field, develop promising perspectives for future research and initiate cooperations.
The conference is organized by the Graduate School of Computational Engineering (GSC CE) at TU Darmstadt together with the International Graduate School of Science and Engineering (IGSSE) at Technical University of Munich, the Stuttgart Research Center for Simulation Technology (SimTech) at University of Stuttgart and the Aachen Institute for Advanced Study in Computational Engineering Science (AICES) at RWTH Aachen University.
EU Regional School - Auricchio Seminar
Prof. Dr. Ferdinando Auricchio - ADDITIVE MANUFACTURING PROCESSES: From Materials to Applications, From Micro- to Macro-Simulations
Department of Civil Engineering and Architecture
University of Pavia, Italy
Additive Manufacturing (AM) is taking off in many industrial processes, since it allows geometries and flexibility unthinkable not too long ago. However, AM is a very complex process, involving complex phenomena (e.g., heat conduction, phase change, surface change and residual stress rising), requiring dedicated design and simulation tools.
The presentation will give an overview of different materials currently adopted in AM, of possible applications where AM is successfully exploited (both in industrial and research environments), addressing also design and simulation aspects, both at the microscopic scale (involving powder melting/solidification, melt pool fluid motion, geometry surface change) and at the macroscopic scale, performed using a commercial code.