MINISYMPOSIA AND WORKSHOPS

The following minisymposia and workshops will be organized during the 26th KomPlasTech Conference:

• High Order Finite Elements Methods
  

  The workshop aims to integrate different topics related to higher-order finite element methods. In particular, we invite presentations oriented towards isogeometric analysis (IGA), namely the finite element method computations with B-splines and NURBS, as well as presentations concerning adaptive finite element method, with h-, p- or hp-adaptive algorithms. The workshop presents finite element method simulations for direct, inverse and dual problems. We invite papers with evolutionary and other optimization techniques, as well as machine learning techniques, where the primal simulations are performed by higher-order finite element method solvers. We also invite presentations concerning optimization of codes, fast parallel solvers and other algorithmic aspects of the higher order finite element method computations.
  
  

  Organizer: Maciej PASZYŃSKI
  AGH University of Science and Technology, Krakow, Poland
  
• Evolutionary Algorithms and Artificial Intelligence in Metallurgy and Materials Science - in Honour of Professor Nirupam Chakraborti
  

  Among the different approaches of modelling and optimization, artificial intelligence based approaches and evolutionary algorithms are finding their application areas in the domain of materials engineering ardently. The mini symposium will focus on applications of evolutionary algorithms and artificial intelligence in the areas of materials design, metallurgical process modelling and optimization, performance enhancement of the product, defect analysis and other relevant areas related to materials science and metallurgy. Computing tools applied in the materials domain will include, but not limited to, genetic algorithm, swarm intelligence, genetic programming, neural network, fuzzy logic, rough set, support vector machine and all other techniques that fall within the purview of artificial intelligence. The concept of data analytics and data driven design towards innovation of materials and processes are also welcome. Professor Nirupam Chakraborti being a pioneer in the field of application of evolutionary algorithms and other intelligent computing techniques in the field of materials engineering, the mini symposium is organized in his honour.
  Selected papers will be published in the Special Issue of Materials and Manufacturing Processes journal.
  
  

  Organizer: Shubhabrata DATTA
  SRM Institute of Science and Technology, Chennai, India
  Organizer: Danuta SZELIGA
  AGH University of Science and Technology, Krakow, Poland
  
• Distribution Functions for the Description of Heterogeneous Metallic Microstructures
  

  The correlation between mechanical properties and microstructure features of materials has been intensively studied recently, in particular for materials with complex multiphase microstructures. The question should be asked: is it possible to achieve more balanced mechanical properties of multiphase materials by tailoring the microstructure gradients? Numerical models, which give detailed description of the microstructure features, are needed to investigate the correlation between the complex microstructure and the behavior during forming and during exploitation of products. The main focus of the MS is on the computational multiscale-based material design techniques, which are capable to predict distribution of material parameters and use these distributions in the design procedure. Typical topics of interest for the minisymposium are: Methods of description of the heterogeneous microstructures Stochastic approach to modeling, application of the distribution functions to describe such features of microstructure as elements distribution in different phases, dislocation density, grain size and morphology and size of precipitates. Solution of microstructure evolution equations for stochastic variables. Identification of stochastic models Optimization of processes with stochastic objective functions, design of optimal processes. Validation and verification of stochastic models.
  
  

  Organizer: Maciej PIETRZYK
  AGH University of Science and Technology, Krakow, Poland
  Organizer: Wolfgang BLECK
  RWTH Aachen, Germany