2021/2022
Programme:
Nuclear Engineering, Second Cycle
Year:
2. year
Semester:
first
Kind:
optional
ECTS:
5
Lecturers:

Matevž Dular, Marko Hočevar

Hours per week – 1. semester:
Lectures
2
Seminar
0
Tutorial
0
Lab
3
Prerequisites

The execution of study obligations is defined in the Rules on testing and grading the knowledge of students at UL FS.
At least 80 % presence at organised execution of exercises is required.
The condition for admission to exam is a passing grade for laboratory exercises.

Content (Syllabus outline)

Lectures:
• basics of experimental modeling, types of tests and experimental model use, forming experimental models,
• problem formulation, determining the influence of individual process variables, the procedure for selecting the measured variables,
• elements of a test stand, defining constant and variable parameters, defining initial conditions,
• open and closed test stands,
• model tests: theory of similitude, similitude criteria, formation of model laws, dimensional analysis and Buckingam's π theorem,
• simple regression models,
• other regression methods,
• analysing regression models,
• experimental modeling in energy engineering;
• experimental modeling in process engineering;
Exercises:
• computer-controlled tests,
• measuring efficiency, measuring electric, mechanical and heat power of machines,
• experimentally modeling the characteristics, operating point and efficiency of turbine machinery, measuring in two quadrants,
• experimental analysis of a selected process taking place in a power plant,
• sedimentation and flotation in reactor systems, selecting the set of influential variables, forming an experimental model,
• analysing the filtering process in industrial wastewater treatment plants,
forming the similitude models on the example of curing chamber analysis

Readings

[1] Banks H.T., Mathematical and Experimental Modeling of Physical and Biological Processes , CRC Press, 2009
[2] Douglas C. Montgomery: Design and analysis of experiments. John Wiley & Sons, 5th Edition, 2001, 684 str.
[3] Richard S. Figliola, Donald E. Beasley: Theory and Design for Mechanical Measurements. John Wiley & Sons, 4th Edition, 2005, 560 str.
[4] ŠIROK, Brane, BLAGOJEVIĆ, Bogdan, BULLEN, Peter. Mineral wool : production and properties. Cambridge: Woodhead, 2008. X, 185 str., ilustr. ISBN 978-1-84569-406-7 [COBISS-SI-ID 10475547]
[5] B.Širok, M.Dular, B.Stoffel. Kavitacija. 1. natis. Ljubljana: i2, 2006. 164 str., ilustr., graf. prikazi.[COBISS-SI-ID 227838208]
[6] Saravanamuttoo H., Rogers G., Cohen H.: Gas turbine theory, 5th Edition, Prentice Hall, 2001

Objectives and competences

Goals: The knowledge attained during the study process will make sure the students are able to:
• incorporate the fundamental professional knowledge from the field of mechanical engineering into energy and process engineering,
• comprehensively understand the processes in energy engineering,
• comprehensively understand the processes in process engineering,
• measure the assembled energy-process systems, machines and devices,
• understand the basic methods of multidimensional system analysis and modeling,
• critically evaluate the requirements and possibilities in analysing the processes of energy engineering,
• evaluate the influence of individual variables or system parts on the system operation,
• durably critically evaluate new findings and technologies in the field of energy process engineering.
Competences: In scope of this course, the students will obtain knowledge on a high scientific and professional level. Their competences will include knowing the literature from this field, knowing open relevant problems, and the ability to plan and execute research work, until the final research goals are accomplished. They will be capable of doing measurements and analysing the results on energy conversion processes taking place in aerodynamic, hydrodynamic and thermo-energetic systems and in process engineering. They will be qualified to conduct analyses on complex multiparametric systems using the methods for forming phenomenological models on the basis of experimental results.

Intended learning outcomes

Knowledge and understanding:
Upon the successful completion of study obligations, the students will be able to:
• analyse compound processes in energy and process engineering,
• determine the influential parameters of compound energy processes,
• determine the influential parameters of compound processes in process engineering
• plan experimental work on systems with a large number of process variables,
set up a suitable experimental model for the evaluation of improvements and modifications to compound processes in energy and process engineering.
Application:
The knowledge attained enables the students to:
• control compound processes in heat production and consumption in power plants and at the users,
• analyse compound processes based on measured data and models in power plants and other energy plants,
• troubleshoot and improve compound processes in power plants and at the users,
• control manufacturing plants in process engineering,
• troubleshoot and introduce improvements in process engineering,
• plan compound measurement systems for plants in process engineering,
• evaluate process changes aimed to achieve modified functional plant parameters in energy and process engineering,
control compound processes, procedures and devices in research and calibration laboratories.
Reflection:

The course builds up the students' awareness of the possibilities of measuring, modeling and modifying the operating properties, energy and environmental efficiency of processes. The ability to introduce improvements elevates the significance of engineers who control the energy plants, processes with energy consumers and in process engineering.
The acquired knowledge is based on a creative integration of fundamental theoretical and practical topics, aimed into solving characteristic problems, often found in the technical practice. It enables the students to critically evaluate different concepts and practical applications.
Transferable skills:
The general ability to use modern measurement equipment and software for the analysis of all compound processes is emphasised.
The students master a wide spectrum of practical knowledge to describe real problems – problem identification, selecting the level of abstraction for the problem solving method, using the method and analysing results.
The students learn to autonomously do experimental work, analyse compound systems, process data, write reports and present the results.

Learning and teaching methods

Auditorium lectures will include solving cases from energy and process engineering. The lectures will be conducted according to a methodical systematics, which will be presented to the students in advance, and using the materials accessible to the students on the faculty's website. Computer-supported teaching techniques will be employed.
The exercises will be conducted in the classroom, in the laboratory and in energy plants. Industrial measurement chains and industrial measuring instruments will be used at laboratory experiments. The experimental models will be created autonomously or with the assistant's support using software like Microsoft Excel and Mathworks Matlab. The classroom exercises will be used to prepare the students for laboratory exercises and for exercises at process and energy plants. The students will learn to work autonomously and present their products with the assistant’s support.

Assessment

The exams are written and
oral
The assessment of exercises will include the students' contribution to the execution of exercises, the quality of execution, as well as the report and the students’ defence. The assessment will consider the complexity of the problem and the means available to the students for measurement and analysis.
The evaluation methods and the grading scale are defined in Point 4.8 of the application for approval of Level 2 masters’ study programme MECHANICAL ENGINEERING.

Lecturer's references

prof. dr. Matevž Dular

DULAR, Matevž, STOFFEL, Bernd, ŠIROK, Brane. Development of a cavitation erosion model. Wear, ISSN 0043-1648. [Print ed.], 2006, letn. 261, št. 5/6, str. 642-655. http://dx.doi.org/10.1016/j.wear.2006.01.020 [COBISS-SI-ID 8990747], [JCR, SNIP, WoS do 12. 3. 2017: št. citatov (TC): 50, čistih citatov (CI): 42, Scopus do 19. 2. 2017: št. citatov (TC): 68, čistih citatov (CI): 60]

BAJCAR, Tom, BLAGOJEVIĆ, Bogdan, ŠIROK, Brane, DULAR, Matevž. Influence of flow properties on a structure of a mineral wool primary layer. Experimental thermal and fluid science, ISSN 0894-1777. [Print ed.], 2007, letn. 32, št. 2, str. 440-449. http://dx.doi.org/10.1016/j.expthermflusci.2007.05.007 [COBISS-SI-ID 10241563], [JCR, SNIP, WoS do 17. 11. 2016: št. citatov (TC): 7, čistih citatov (CI): 3, Scopus do 20. 1. 2017: št. citatov (TC): 11, čistih citatov (CI): 7]

DULAR, Matevž, COUTIER-DELGOSHA, Olivier. Numerical modelling of cavitation erosion. International journal for numerical methods in fluids, ISSN 0271-2091, 2009, vol. 61, iss. 12, str. 1388-1410, doi: 10.1002/fld.2003 [COBISS-SI-ID 11009051], [JCR, SNIP, WoS do 19. 2. 2017: št. citatov (TC): 25, čistih citatov (CI): 20, Scopus do 22. 2. 2017: št. citatov (TC): 29, čistih citatov (CI): 22]

DULAR, Matevž, COUTIER-DELGOSHA, Olivier. Thermodynamic effects during growth and collapse of a single cavitation bubble. Journal of Fluid Mechanics, ISSN 0022-1120, Dec. 2013, vol. 736, str. 44-66, ilustr., doi: 10.1017/jfm.2013.525 [COBISS-SI-ID 13196827], [JCR, SNIP, WoS do 4. 11. 2016: št. citatov (TC): 6, čistih citatov (CI): 2, Scopus do 4. 7. 2016: št. citatov (TC): 7, čistih citatov(CI):3]

ŽNIDARČIČ, Anton, METTIN, Robert, DULAR, Matevž. Modeling cavitation in a rapidly changing pressure field - application to a small ultrasonic horn. Ultrasonics Sonochemistry, ISSN 1350-4177, Jan. 2015, vol. 22, str. 482-492, ilustr., doi: 10.1016/j.ultsonch.2014.05.011 [COBISS-SI-ID 13644827], [JCR, SNIP, WoS do 26. 2. 2017: št. citatov (TC): 10, čistih citatov (CI): 10, Scopus do 28. 2. 2017: št. citatov (TC): 16, čistih citatov (CI): 16

prof. dr. Marko Hočevar

KRAŠEVEC, Boris, ŠIROK, Brane, BIZJAN, Benjamin, HOČEVAR, Marko. Fibre density distribution in a layer of glass wool. European journal of glass science and technology. Part A, Glass technology, Oct. 2015, vol. 56, nr. 5, str. 145-152, ilustr., [COBISS-SI-ID 14301723],

BIZJAN, Benjamin, ŠIROK, Brane, HOČEVAR, Marko, ORBANIĆ, Alen. Liquid ligament formation dynamics on a spinning wheel. Chemical Engineering Science, ISSN 0009-2509. [Print ed.], Nov. 2014, vol. 119, str. 187-198, [COBISS-SI-ID 13652763].

KRAŠEVEC, Boris, ŠIROK, Brane, HOČEVAR, Marko, BIZJAN, Benjamin. Multiple regression model of glass wool fibre thickness on a spinning machine. European journal of glass science and technology. Part A, Glass technology, Aug. 2014, vol. 55, nr. 4, str. 119-125, [COBISS-SI-ID 13639707].