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, 2012. ISBN 978-0-87335-345-8 .
MULAR, Andrew L., D. N. HALBE and Derek J. BARRATT. Mineral processing plant design, practice, and control proceedings. New York: Society for Mining, Metallurgy, and Exploration, 2002
SUBBA RAO, D. V. Minerals and coal: process calculations. Boca Raton: CRC Press, Taylor & Francis Group, 2016. ISBN 9781315225524 .
SMITH R. Process Plant Design. Chichester: Wiley, 2023, ISBN 978-1119689911 .
TOWLER G., SINNOTT R. Chemical Engineering Design: Principles, Practice and Economics of Plant and Process Design. 3rd Edition. Oxford: Elsevier, 2022, ISBN 978-0128233771 .
Technology Designing
| Language of instruction | čeština |
|---|---|
| Code | 542-0434 |
| Abbreviation | PT |
| Course title | Technology Designing |
| Coordinating department | Department of Mining Engineering and Safety |
| Course coordinator | prof. Ing. Jan Nečas, Ph.D. |
Summary
The course focuses on the design of mineral processing technologies and process systems used for the treatment and upgrading of industrial minerals, ores, secondary raw materials, and recyclable materials. It builds upon knowledge of raw material properties, process equipment, and separation technologies, and develops students’ ability to apply these principles in the design of technological processes and processing plants. Emphasis is placed on understanding the relationships between feed material characteristics, process requirements, and the operational parameters of mineral processing equipment.
Students become familiar with the methodology of process design, including process flowsheet development, material and capacity balancing, equipment selection, and technological optimization. Attention is given to the analysis and interpretation of laboratory and operational data and their application in the design of technological processes and processing circuits.
The course also introduces modern approaches to process design based on mathematical modelling, graph theory, matrix analysis, and systems engineering methods. Students learn to develop technological flowsheets, evaluate material flows, and optimize process configurations from technical, operational, and economic perspectives.
The aim of the course is to provide students with the knowledge and skills necessary for the independent design, evaluation, balancing, and optimization of technological processes and processing plants with respect to their efficiency, reliability, economic performance, and technological feasibility.
Professional Knowledge
Students explain the fundamental principles of process design and the development of technological flowsheets for mineral processing and raw material treatment plants. They characterize the individual stages of technological design, from the evaluation of input data to process configuration and equipment sizing.
Students describe the physical, mechanical, and processing properties of raw materials that are relevant to process design and explain their influence on the selection of technological operations and equipment. They characterize the operating principles and performance parameters of major mineral processing machines and technological units.
Students explain the principles of material, capacity, and recovery balances and their application in the design and dimensioning of technological systems. They describe methods of mathematical modelling and explain the application of graph theory, matrix analysis, and other optimization methods in process design.
Students explain the principles of technical, operational, and economic evaluation of technological alternatives and describe methods used for the optimization of process flows with respect to product quality, energy consumption, and process efficiency.
Professional Skills
Students analyse input data related to raw material properties, technological processes, and equipment performance and apply them in the design of technological flowsheets and processing circuits. They evaluate the suitability of technological operations and propose their optimal arrangement within a processing plant.
Students perform material, production, and capacity balance calculations and use the results for equipment selection and process design. They evaluate operational data and interpret laboratory and pilot-scale test results for technological design purposes.
Students apply mathematical and numerical methods in process modelling and use graph theory and matrix analysis to describe, analyse, and optimize technological systems. They compare alternative process solutions and assess their technical, operational, and economic effectiveness.
Students develop basic technological designs for raw material processing plants and justify the selection of individual process operations, machines, and equipment with respect to required product specifications and operational objectives.
Generic Competencies
Students independently solve complex technological design problems while integrating knowledge from process engineering, mineral processing, mechanical engineering, mathematics, and economics. They critically evaluate available data, identify limitations of proposed solutions, and provide professional justification for their decisions.
Students apply systematic approaches to technological problem-solving, utilize analytical and modelling tools, and develop efficient solutions based on quantitative evaluation of alternatives. They are able to formulate technical requirements, interpret calculation results, and present technological solutions to professional audiences.
Students work effectively within multidisciplinary project teams, communicate technical information clearly and professionally, and utilize modern digital tools supporting process design and optimization. They continuously develop their professional expertise and apply new methods of process design, modelling, and optimization to emerging engineering challenges.
Students become familiar with the methodology of process design, including process flowsheet development, material and capacity balancing, equipment selection, and technological optimization. Attention is given to the analysis and interpretation of laboratory and operational data and their application in the design of technological processes and processing circuits.
The course also introduces modern approaches to process design based on mathematical modelling, graph theory, matrix analysis, and systems engineering methods. Students learn to develop technological flowsheets, evaluate material flows, and optimize process configurations from technical, operational, and economic perspectives.
The aim of the course is to provide students with the knowledge and skills necessary for the independent design, evaluation, balancing, and optimization of technological processes and processing plants with respect to their efficiency, reliability, economic performance, and technological feasibility.
Professional Knowledge
Students explain the fundamental principles of process design and the development of technological flowsheets for mineral processing and raw material treatment plants. They characterize the individual stages of technological design, from the evaluation of input data to process configuration and equipment sizing.
Students describe the physical, mechanical, and processing properties of raw materials that are relevant to process design and explain their influence on the selection of technological operations and equipment. They characterize the operating principles and performance parameters of major mineral processing machines and technological units.
Students explain the principles of material, capacity, and recovery balances and their application in the design and dimensioning of technological systems. They describe methods of mathematical modelling and explain the application of graph theory, matrix analysis, and other optimization methods in process design.
Students explain the principles of technical, operational, and economic evaluation of technological alternatives and describe methods used for the optimization of process flows with respect to product quality, energy consumption, and process efficiency.
Professional Skills
Students analyse input data related to raw material properties, technological processes, and equipment performance and apply them in the design of technological flowsheets and processing circuits. They evaluate the suitability of technological operations and propose their optimal arrangement within a processing plant.
Students perform material, production, and capacity balance calculations and use the results for equipment selection and process design. They evaluate operational data and interpret laboratory and pilot-scale test results for technological design purposes.
Students apply mathematical and numerical methods in process modelling and use graph theory and matrix analysis to describe, analyse, and optimize technological systems. They compare alternative process solutions and assess their technical, operational, and economic effectiveness.
Students develop basic technological designs for raw material processing plants and justify the selection of individual process operations, machines, and equipment with respect to required product specifications and operational objectives.
Generic Competencies
Students independently solve complex technological design problems while integrating knowledge from process engineering, mineral processing, mechanical engineering, mathematics, and economics. They critically evaluate available data, identify limitations of proposed solutions, and provide professional justification for their decisions.
Students apply systematic approaches to technological problem-solving, utilize analytical and modelling tools, and develop efficient solutions based on quantitative evaluation of alternatives. They are able to formulate technical requirements, interpret calculation results, and present technological solutions to professional audiences.
Students work effectively within multidisciplinary project teams, communicate technical information clearly and professionally, and utilize modern digital tools supporting process design and optimization. They continuously develop their professional expertise and apply new methods of process design, modelling, and optimization to emerging engineering challenges.
Literature
Advised literature
SBÁRBARO, Daniel and René DEL VILLAR. Advanced control and supervision of mineral processing plants. New York: Springer, 2010. Advances in industrial control. ISBN 978-1-84996-106-6 .
SMITH R. Process Plant Design. Chichester: Wiley, 2023, ISBN 978-1119689911 .
MUKHERJEE S. Process Engineering and Plant Design: The Complete Industrial Picture. Boca Raton: CRC Press, 2021, ISBN 978-0367561987 .
TOWLER G., SINNOTT R. Chemical Engineering Design: Principles, Practice and Economics of Plant and Process Design. 3rd Edition. Oxford: Elsevier, 2022, ISBN 978-0128233771 .
MANNAN S. (ed.) Lees' Loss Prevention in the Process Industries. 5th Edition. Oxford: Elsevier, 2023, ISBN 978-0323998214 .
SMITH R. Process Plant Design. Chichester: Wiley, 2023, ISBN 978-1119689911 .
MUKHERJEE S. Process Engineering and Plant Design: The Complete Industrial Picture. Boca Raton: CRC Press, 2021, ISBN 978-0367561987 .
TOWLER G., SINNOTT R. Chemical Engineering Design: Principles, Practice and Economics of Plant and Process Design. 3rd Edition. Oxford: Elsevier, 2022, ISBN 978-0128233771 .
MANNAN S. (ed.) Lees' Loss Prevention in the Process Industries. 5th Edition. Oxford: Elsevier, 2023, ISBN 978-0323998214 .