Third-Cycle Courses

Faculty of Engineering | Lund University

Details for the Course Syllabus for Course FHL010F valid from Spring 2014

Printable view

  • English
  • If sufficient demand
  • Computational modeling and simulation is today a standard tool in product development in most branches of industry and is mostly based on numerical material models, formulated at the macroscale. This course forms a link between such phenomenological computational materials modeling and materials science. Special attention will be given the manifestation of plasticity, macroscopically and on the scale of the material's microstructure. Modeling of important processes such as phase transformations and recrystallization will be discussed as well as how these processes can be utilized. The aims of this course are to:

    introduce students to modeling of materials behavior and computational simulation techniques that cover length scales from a few micrometers and up to the macroscale
    show how these modeling methods can be used to understand and predict material structure and the relationships between material structure and material behavior
    develop an understanding of the assumptions and approximations that are involved in the modeling.

    Students will be introduced to the basis for the simulation techniques, learn how to use computational modeling, and how to present and interpret the results of simulations. The students will work with their own implementation of numerical modeling algorithms to reinforce concepts learned in the lectures. The course focus lies on computational modeling and simulation.
    Recognizing metals as one of the most important engineering materials, the lectures will emphasize this class of materials. The presented modeling techniques and principles are, however, applicable to many different types of materials and phenomena.
  • The following topics will be covered in the course, with emphasis on modeling:

    Introduction to the evolution of microstructure in metallic materials
    Crystallographic texture and parametric representation of crystal orientations and misorientations. Grain boundary migration, grain boundary energy and mobility. Formation of microstructures through phase transformation and recrystallization and the impact on macroscopic material behavior.

    Computational modeling of microstructure evolution
    Phenomenological models. Crystal plasticity models. Monte Carlo Potts methods. Cellular automata. Vertex/front tracking techniques. Level set methods. Phase field models. Model implementation. Sources of simulation errors. Computational issues: domain discretization, boundary conditions, parallelization strategies. Identification of model parameters: Model calibration and validation.
Knowledge and Understanding
  • For a passing grade the doctoral student must
  • understand the significant relations between material properties and material structure and how these relations can be modeled

    understand how aspects of material structure translates into computational materials modeling

    be aware of special modeling strategies and issues related to them

    understand how modeling and simulation can be used in materials engineering

    understand different modeling techniques, their applicability and their limitations
Competences and Skills
  • For a passing grade the doctoral student must
  • be able to formulate a materials engineering problem as a numerical simulation model

    be able to explain how aspects of material microstructure translates into material behavior

    prepare a written technical report

    implement numerical simulation models of material behavior
Judgement and Approach
  • For a passing grade the doctoral student must
  • prepare a written technical report

    implement numerical simulation models of material behavior
Types of Instruction
  • Seminars
  • Exercises
  • Project
Examination Formats
  • Written report
  • Failed, pass
Admission Requirements
Assumed Prior Knowledge
Selection Criteria
  • Hallberg, H.: Modeling of Microstructure Mechanics.
Further Information
  • The course will be given if the number of registered students is sufficient.
Course code
  • FHL010F
Administrative Information
  •  -05-16
  • FN3/Per Tunestål

All Published Course Occasions for the Course Syllabus

No matching course occasions were found.

0 course occasions.

Printable view