542-0517/01 – Laboratory course (LC)
Gurantor department | Department of Mining Engineering and Safety | Credits | 3 |
Subject guarantor | doc. Ing. Jiří Rozbroj, Ph.D. | Subject version guarantor | doc. Ing. Jiří Rozbroj, Ph.D. |
Study level | undergraduate or graduate | Requirement | Compulsory |
Year | 1 | Semester | summer |
| | Study language | Czech |
Year of introduction | 2020/2021 | Year of cancellation | |
Intended for the faculties | HGF | Intended for study types | Follow-up Master |
Subject aims expressed by acquired skills and competences
The aim of the course is to verify the theoretical knowledge gained in lectures and deepen students' practical skills.
Teaching methods
Tutorials
Experimental work in labs
Summary
The theoretical knowledge of students is verified on a practical basis and their practical skills in the field of mineral and waste treatment are deepened.
Compulsory literature:
Recommended literature:
Additional study materials
Way of continuous check of knowledge in the course of semester
Submitting properly solved protocols from laboratory exercises
E-learning
Other requirements
Students demonstrate knowledge of methods for evaluating the washability of raw materials
Prerequisities
Subject has no prerequisities.
Co-requisities
Subject has no co-requisities.
Subject syllabus:
1. Evaluation of crushability of mineral resources
2. Evaluation of grindability of mineral resources
3. Evaluation of gravity washability of mineral resources (sink-float analysis)
4. Evaluation of gravity washability of mineral resources (evaluation of sink-float analysis by Tromp curves)
5. Evaluation of magnetic washability of mineral resources (fractional magnetic analysis)
6. Evaluation of magnetic washability of mineral resources (evaluation of editability with editability curves)
7. Evaluation of flotation washability of mineral resources (fractional flotation)
8. Evaluation of flotation washability of mineral resources (evaluation by flotability curves)
9. Planned experiment to verify optimal conditions of raw material separation
10. Planned experiment to verify optimal conditions of raw material separation
11. Evaluation of the planned experiment by the method of variance analysis
12. Evaluation of the planned experiment by the method of regression analysis and result areas
13.Evaluation of efficiency of separation processes (yield method, dividing curve method)
Conditions for subject completion
Occurrence in study plans
Occurrence in special blocks
Assessment of instruction