Faculdade de Ciências da Universidade do Porto 1st Oporto Meeting on Mathematics for Industry  
  1st Oporto Meeting on Mathematics for Industry
2nd Porto Meeting on
MATHEMATICS for INDUSTRY
 16th to 18th April 2010
 
 
apod

Main Speakers and courses

  • Luigi Barletti (Dipartimento di Matematica "Ulisse Dini", Universita' di Firenze, Italia)
Mathematical modeling of quantum electronic devices
Abstract:  The miniaturization reached by semiconductor technology has brought electronic devices on the border of (and in many cases inside) the quantum realm.
Applied mathematics has, therefore, the difficult task of  providing electronic industry with easy-to-handle models of systems in which the macroscopic behavior of the device is determined by the microscopic, and often non-intuitive, quantum dynamics.
This short course is aimed to present the basic mathematical tools (Wigner functions, Chapman-Enskog expansion, Entropy principle) that allow to derive fluid-dynamical-like models starting from  "first principles" , represented by quantum kinetic equations.
Examples of applications to innovative devices exploiting quantum effects, such as interband tunneling or spin-orbit interactions, will be briefly discussed.

Applications of discrete mathematics in industry
Abstract: Industry is a prolific field of applications for different research areas in mathematical sciences. We will focus on applications of discrete mathematics in industry. Topics such as covering, assignment, scheduling and routing will be exploited and identified as adequate models
for some problems faced by industry.

  • Robert Mattheij (Dept of Mathematics and Computer Science, Eindhoven, The Netherlands)
Industrial problems involving morphology and flow
Abstract: Three lectures by Bob Mattheij
1. Blowing of glass forms
The morphology of viscous bodies can be described by Stokes’equation. An essential part in such problems is the kind of boundary condition. In particular for moving boundaries we encounter numerical difficulties. We will focus on the modelling and simulation of a (glass) container and describe a way to deal with the latter boundary. In reality one often has to produce a certain prescribed shape of the container. The resulting inverse problem provides for some additional difficulties. We will discus how to deal with the latter as well.
2. Cooling of  blades in turbines
Turbines (jet engines or gasturbines) have rotors at the hot end that need to be cooled. This cooling is done by blowing cool air through the blade (internal cooling) or through holes in the surface (to provide for film cooling). A variety of methods is used to drill these holes (electrochemistry or laser drilling), Simulation of the flow eventually provides for a complex problem that is tackled by a domain decomposition technique.
3. Conservation of mass in evolution problems
A typical concern in numerical modelling of  problems is how to conserve mass. We will discuss a typical evolutionary problem arising from practice that gives rise to undesirably large errors in the mass, unless special precautions are taken. If we assume some form of symmetry in the body under consideration we can reformulate the problem in such a way that a symplectic method can be used, leading to numerical mass conservation.
  • Jon Selig (Faculty of Business, Computing and Information Management London South Bank University)
Robotics and Geometry
Abstract: The group of rigid-body displacements plays a fundamental role in robotics and computer vision.  These lectures will introduce this Lie group and its Lie algebra.  This will be done by looking at the problem of Robot Kinematics for both serial and parallel manipulators.  The group of rigid-body displacements can be viewed as an open set in a six-dimensional quadric called the Study quadric.  The geometry of this space will be explored and used to describe some questions concerning rigid-body motions.
 
       
Centro de Matemática da Universidade do Porto Centro de Matemática da Universidade de Coimbra Grupo de Física Matemática - Universidade de Lisboa Centro de Matemática Aplicada à Previsão e Devisão Económica Faculdade de Ciências da Universidade do Porto