542-0514/01 – Process equipment I (PZI)

Gurantor departmentDepartment of Mining Engineering and SafetyCredits5
Subject guarantorIng. David Žurovec, Ph.D.Subject version guarantorIng. David Žurovec, Ph.D.
Study levelundergraduate or graduateRequirementCompulsory
Year1Semesterwinter
Study languageCzech
Year of introduction2020/2021Year of cancellation
Intended for the facultiesHGFIntended for study typesFollow-up Master
Instruction secured by
LoginNameTuitorTeacher giving lectures
NEC37 prof. Ing. Jan Nečas, Ph.D.
PRO0054 Ing. Rostislav Prokeš
SME0075 Ing. Lukáš Smetana
ZUR071 Ing. David Žurovec, Ph.D.
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Credit and Examination 28+28
Part-time Credit and Examination 16+0

Subject aims expressed by acquired skills and competences

Students are able to carry out a deeper theoretical analysis of sizing and sorting processes. They are familiar with the methods of mathematical modeling of sizing processes and are able to use the appropriate software equipment to design a technological scheme including its balance.

Teaching methods

Lectures
Individual consultations
Tutorials

Summary

The course deepens theoretical knowledge in the field of size reduction and screening, and is dedicated in particular to methods of mathematical modeling of processes of disintegration and separation of minerals with the use of software products.

Compulsory literature:

KING, R. P., C. L. SCHNEIDER a E. A. KING. Modeling and simulation of mineral processing systems. 2nd ed. Englewood, Colo.: Society for Mining, Metallurgy, and Exploration, c2012. ISBN 978-0-87335-345-8. Modeling and Simulation of Mineral Processing Systems: An online tutorial for learning Modsim [online]. Mineral Technologies International, 2019 [cit. 2019-08-26]. Dostupné z: http://www.mineraltech.com/MODSIM/ModsimTraining/Software/Software.html HANGOS, K. M. a I. T. CAMERON. Process modelling and model analysis. San Diego: Academic Press, 2001. ISBN 0-12-156931-4.

Recommended literature:

DEHLING, Herold, Timo GOTTSCHALK a Alex C. HOFFMANN. Stochastic modelling in process technology. London: Elsevier, 2007. ISBN 978-0-444-52026-5.

Way of continuous check of knowledge in the course of semester

Submission of computational programs from exercises

E-learning

Other requirements

The student demonstrates knowledge of theoretical fundamentals of refinement and sorting processes, ability to model and design basic types of machinery with respect to technological requirements.

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

1. Theoretical description of comminutation systems 2. Basic knowledge of modeling of comminutation processes 3. Mathematical models of comminutation processes 4. Mathematical modeling of crushing and grinding systems 5. Mathematical modeling of jaw and cone crushers 6. Mathematical modeling of ball and rod mills 7. Mathematical modeling of autogenous and semiautogenic mills 8. Theoretical description of mechanical sorting 9. Mathematical modeling of mechanical sorters 10.Theoretical description of hydraulic classification 11. Mathematical modeling of mechanical classifiers 12.Mathematical modeling of hydrocyclones 13.Software BRUNO for modeling crushing, grinding and sorting equipment. USIMPAC software for modeling processes.  

Conditions for subject completion

Full-time form (validity from: 2019/2020 Winter semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of pointsMax. počet pokusů
Credit and Examination Credit and Examination 100 (100) 51
        Credit Credit 33  17
        Examination Examination 67  31 3
Mandatory attendence participation: Compulsory participation in exercises, maximum excused absence 30%, submission of correctly solved protocols

Show history

Conditions for subject completion and attendance at the exercises within ISP: Compulsory participation in exercises, maximum excused absence 30%, submission of correctly solved protocols

Show history

Occurrence in study plans

Academic yearProgrammeBranch/spec.Spec.ZaměřeníFormStudy language Tut. centreYearWSType of duty
2024/2025 (N0724A290005) Process Engineering in Raw Materials PZ P Czech Ostrava 1 Compulsory study plan
2023/2024 (N0724A290005) Process Engineering in Raw Materials PZ P Czech Ostrava 1 Compulsory study plan
2022/2023 (N0724A290005) Process Engineering in Raw Materials PZ P Czech Ostrava 1 Compulsory study plan
2021/2022 (N0724A290005) Process Engineering in Raw Materials PZ P Czech Ostrava 1 Compulsory study plan
2020/2021 (N0724A290005) Process Engineering in Raw Materials PZ P Czech Ostrava 1 Compulsory study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner

Assessment of instruction



2020/2021 Winter