Course detail
Numerical Simulation of Foundry Processes
FSI-9NSS Acad. year: 2022/2023 Both semester
The course provides students with new trends in computer support of foundry technology. An accent is given on numerical simulation of foundry processes and practical applications.
Course deal with: 3D casting design, definition of boundary and initial conditions, defect prediction, thermo-mechanical calculations. The students will acquire last trends in a field of micro-modelling, single crystal modelling and inverse modelling.
Language of instruction
Czech
Supervisor
Department
Learning outcomes of the course unit
The students will acquire practical experience about principles of cast design and technology optimizing with using of numerical simulation. The students will acquire knowledge about models for porosity and hot tears prediction and also particular definitions of foundry processes are described.
Prerequisites
The knowledge of Foundry technology, knowledge of liquid flows and heat transfer, basic computer skills
Planned learning activities and teaching methods
The course is taught through lectures explaining the basic principles and theory of the discipline.
Assesment methods and criteria linked to learning outcomes
Exam – written and oral parts
Aims
The aim of the course is to acquire a view of possibilities, applications and benefits of numerical simulation of foundry processes.
Specification of controlled education, way of implementation and compensation for absences
Participation in lectures
The study programmes with the given course
Programme D-STG-K: Manufacturing Technology, Doctoral, recommended course
Programme D-STG-P: Manufacturing Technology, Doctoral, recommended course
Type of course unit
Lecture
20 hours, optionally
Syllabus
1.Methods of numerical simulation
2.Initial and boundary definition of gravity casting, HPDC, centrifugal casting
4.Calculation of porosity defects in casting
5.Hot-tears prediction in casting
6.Criteria for quality evaluation of casting
7.Nucleation models
8.Single crystal modelling
9.Segregation models
10.Inverse modelling