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Engineering of particulate systems
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Engineering of particulate systems
Code: 151181
ECTS: 6.0
Lecturers in charge: prof. dr. sc. Gordana Matijašić
Take exam: Studomat
Load:

1. komponenta

Lecture typeTotal
Lectures 20
* Load is given in academic hour (1 academic hour = 45 minutes)
Description:
DESCRIPTION OF THE COURSE/MODULE
Introduction: Particle characterization. Population balances in particulate systems transformation.
Analysis of particle transformation and separation processes: comminution, agglomeration, deep-bed filtration.
Theoretical background on comminution. Fragmentation mechanisms: fragmentation mechanisms in general, mathematical description of fragmentation mechanism. Comminution kinetics: matrix approach, population balance equations, modification of the population balance equation according to the process terms and mill types. Selection function, breakage functions, method of determining the kinetic parameters, selection of models for kinetic parameters estimation. Defining a dominant mechanism.
Theoretical background on granulation, different types of process, population balance modeling. Physical processes and mechanisms.
General characteristics of deep-bed filtration. Mechanisms of deep-bed filtration, filtration with chemical pretreatment. Designing a depth filter. Macroscopic description and simulation of deep bed filtration. Optimization of deep-bed filtration.
Equipment types and selection in various industries.

DESCRIPTION OF THE TEACHING METHODS
Teaching methods tailored to the student: lectures and/or consultations.

OBLIGATIONS OF THE STUDENTS
Preparation of a seminar paper on a topic of scientific or professional interest to a student. Written knowledge test.

LEARNING OUTCOMES AT THE LEVEL OF THE COURSE
1. To choose the characterization method for a given dispersion system.
2. To develop a matrix model to solve the comminution kinetics.
3. To investigate the mechanisms of comminution and their mathematical form in the context of population balance.
4. To give a proposed solution to a specific separation problem in deep bed filtration.
5. To recommend the type of comminution and granulation equipment according to known criteria.

LEARNING OUTCOMES AT THE LEVEL OF STUDY PROGRAMME
1. To systematise knowledge, skills and competences for the respective field and academic area of the programme of study.
2. To evaluate the skills and methods for experimental and theoretical research relating to the respective field and academic area of the programme of study.
Learning outcomes:
  1. To choose the characterization method for a given dispersion system.
  2. To develop a matrix model to solve the comminution kinetics.
  3. To investigate the mechanisms of comminution and their mathematical form in the context of population balance.
  4. To give a proposed solution to a specific separation problem in deep bed filtration.
  5. To recommend the type of comminution and granulation equipment according to known criteria.
Literature:
2. semester
D_Izborni - Regular studij - Chemical Engineering and Applied Chemistry
Consultations schedule: