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Mechanical process engineering
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Mechanical process engineering
Code: 37791
ECTS: 8.0
Lecturers in charge: prof. dr. sc. Gordana Matijašić
Take exam: Studomat
Load:

1. komponenta

Lecture typeTotal
Lectures 45
Laboratory exercises 30
Seminar 15
* Load is given in academic hour (1 academic hour = 45 minutes)
Description:
THE CONTENTS OF THE COURSE
Week 1 - Introductory lecture. Introduction of students to the method of course delivery, methods of knowledge review, final grade structure, and their obligations.
Week 2 - Fundamentals of mechanical macro processes. Characterization of disperse systems. Methods of measurement, representation and approximation of particle size distribution.
Week 3 - Characterization of disperse systems. Measuring instruments. Calculation examples. Laboratory task I: Granulometry.
Week 4 - Fundamentals of mechanical separation. Separation by sedimentation in a gravitational field. Design of sedimentation equipment.
Week 5 - Separation by sedimentation in a centrifugal field. Sigma concept. Theoretical principles, equipment, selection of centrifuges, calculation examples. Laboratory task II: Sedimentation test.
Week 6 - First partial exam, online.
Week 7 - Separation by filtration. Cake filtration and deep-bed filtration. Compressible and non-compressible filter cakes. Resistance of filter media and filter cake.
Week 8 - Separation by filtration in a centrifugal field. Theoretical principles, equipment, selection of filters and filtration centrifuges, calculation examples. Laboratory task III: Filtration test.
Week 9 - Mixing of liquids. Design of mixing systems. Fundamentals of mechanical mixing, impeller types, calculation examples. Laboratory task IV: Mixing of liquids.
Week 10 - Mixing of suspensions. Fluidization. Just-suspension criteria equations. Scale-up of the mechanical mixing process.
Week 11 - Second partial exam, online.
Week 12 - Fundamentals of powder mixing. Assessment of mixture quality. Causes and types of segregation. Kinetics of powder mixing. Equipment, selection of equipment, calculation examples.
Week 13 - Comminution and agglomeration. Theoretical principles. Equipment, selection of equipment, calculation examples. Laboratory task V: Comminution kinetics.
Week 14 - Third partial exam, online.
Week 15 - Oral exam

GENERAL AND SPECIFIC COMPETENCE
Acquire knowledge of equipment selection, definition of optimal process conditions, and analysis of complex processes in chemical engineering.

STUDENTS' TEACHING OBLIGATIONS AND THEIR PERFORMANCE
Regular participation in classes (lectures, seminars and lab tutorials), minimum attendance 80% . Writing papers, homework and seminar assignments.

TEACHING METHODS
Lectures, seminars and laboratory tasks.

KNOWLEDGE TESTING AND EVALUATION
Continuous assessment of knowledge through three partial written examinations and an oral examination at the end of the lectures. The final grade will be composed of points from the written and oral exams (70%), laboratory assignments (10%), attendance (5%), and online course activities (self-tests, quizzes, games, homework, seminar assignments, 15%). Students who do not score at least 50% on all written exams will be required to take the written and oral part of the exam during the regular exam period.

MONITORING OF THE COURSE QUALITY AND SUCCESSFULNESS
University-level student survey. Anonymous surveys to assess individual forms of teaching within the online course during the semester.

LEARNING OUTCOMES AT THE LEVEL OF THE COURSE
1. Distinguish methods of measuring particle size distribution.
2. Create diagrams of the cumulative and differential particle size distribution.
3. Analyze the laws of mechanical separation processes (sedimentation, filtration).
4. Identify the advantages and disadvantages of mechanical separation processes.
5. Analyze the mechanical mixing of homogeneous and heterogeneous systems.
6. Analyze the energetic and kinetic aspects of the comminution and size enlargement processes.
7. Present a solution to a given problem.
8. Solve experimental tasks and comment on the results obtained.

LEARNING OUTCOMES AT THE LEVEL OF THE STUDY PROGRAMME
1. Interpret the fundamental principles of chemical engineering in the fields of modelling and simulation of chemical reactions, of momentum, mass and energy transport processes and of separation processes.
2. Define chemical engineering problems, which includes their analysis and formulation in order to solve them using fundamental principles.
3. Select appropriate methods of analysis, modelling, simulation and optimisation.
4. Explain the principles of basic design of processes.
5. Solve real chemical engineering problems by scientific approach.
6. Critically review literature data sources, both in printed and Internet form, to collect necessary information for solving chemical engineering problems.
7. Demonstrate effective communication skills, both in writing and presentation, including English, and capability of working effectively in teams that may involve professionals from other disciplines.
8. Demonstrate capability of learning on their own and recognising the need for lifelong learning.

LITERATURE
1. G. Matijašić, Introduction to mechanical process engineering (in Croatian), HDKI i FKIT, 2022. - compulsory literature
2. G. Matijašić, Course materials given through e-course in Merlin platform, Faculty of chemical engineering and technology - compulsory literature
3. M. Hraste, Mechanical process engineering (in Croatian), Hinus, 2003.- compulsory literature
4. M. Rhodes, Introduction to Particle Technology, John Wiley and Sons, 2008. - non-mandatory literature
5. J. P. K. Seville, U. Tuzun, R. Clift, Processing of Particulate Solids, Chapman and Hall, 1997. - non-mandatory literature
6. H. H. Schubert: Mechanische Verfahrenstechnik, VEB Deutscher Verlag fuer Grundstoffindustrie, 1986. - non-mandatory literature
7. A. Rushton, A.S. Ward, R. G. Hodlich: Solid-Liquid Filtration and Separation Technology, VCH Weinheim, 1996. - non-mandatory literature
8. R. J. Wakeman, E.S. Tarleton; Equipment Selection, Modeling and Process Simulation, Elsevier, 1999. - non-mandatory literature
9. N. Harnby, M. F. Edwards, A. W. Nienow: Mixing in Process Industry, Butterworths, 1992. - non-mandatory literature
Learning outcomes:
  1. Distinguish methods of measuring particle size distribution.
  2. Create diagrams of the cumulative and differential particle size distribution.
  3. Analyze the laws of mechanical separation processes (sedimentation, filtration).
  4. Identify the advantages and disadvantages of mechanical separation processes.
  5. Analyze the mechanical mixing of homogeneous and heterogeneous systems.
  6. Analyze the energetic and kinetic aspects of the comminution and size enlargement processes.
  7. Present a solution to a given problem.
  8. Solve experimental tasks and comment on the results obtained.
Literature:
  1. Nastavni materijali u okviru e-kolegija na platformi Merlinu, G. Matijašić, Fakultet kemijskog inženjerstva i tehnologije, 2021.
  2. Uvod u mehaničko procesno inženjerstvo, G. Matijašić, HDKI i FKIT, 2022.
  3. Introduction to Particle Technology, M. Rhodes, John Wiley & Sons Ltd., 2008.
  4. Processing of particulate solids, J. P. K. Seville, U. Tüzün, R. Clift, Chapman & Hall, 1997.
  5. Mechanische Verfahrenstechnik, H. H. Schubert, VEB Deutscher Verlag fuer Grundstoffindustrie, 1986.
  6. Solid-Liquid Filtration and Separation Technology, A. Rushton, A.S. Ward, R.G. Hodlich, VCH Weinheim, 1996.
  7. Equipment Selection, Modeling and Process Simulation, R. J. Wakeman, E. S. Tarleton, Elsevier, 1999.
  8. Mixing in Process Industry, N. Harnby, M. F. Edwards, A. W. Nienow, Butterworths, 1992.
Prerequisit for:
Enrollment :
Passed : Analytical chemistry
Passed : Basics of electrical engineering
Passed : Basics of mechanical engineering
Passed : Calculus II
Passed : Computer programming and application
Passed : Fluid mechanics
Passed : General and inorganic chemistry
Passed : Physics II
5. semester
Mandatory course - Regular studij - Chemical Engineering
Consultations schedule: