Course detail

Engineering Technological Processes

FAST-CJ057Acad. year: 2020/2021

The precondition of technological ongoing process is the concept of the real dynamic and stationary properties, which is important in engineering research, technological processes. The idea of the characteristics of the process include the characteristics of the physical variables, the risk of depreciation of production or accident. From the class of abstract models is crucial mathematical model of the real object and its corresponding mathematical structure, ie a set of values ​​corresponding to real physical quantities modeled real system. The process of building models related to modeling. Experiment on a mathematical model of a real object we call simulations with the support of digital computers.

Language of instruction

Czech

Number of ECTS credits

5

Mode of study

Not applicable.

Guarantor

prof. RNDr. Ing. Stanislav Šťastník, CSc. Ph.D.

Department

Institute of Technology of Building Materials and Components (THD)

Learning outcomes of the course unit

Not applicable.

Prerequisites

Knowledge of previous vocational subjects, physics, building materials, building structures and technological processes in the construction industry.

Co-requisites

Not applicable.

Planned learning activities and teaching methods

Not applicable.

Assesment methods and criteria linked to learning outcomes

Not applicable.

Course curriculum

1. General characteristics of technological processes, system configuration and system structure, organization of technological systems, production of building materials.
2. Signs of mass production, the use of statistical methods in evaluating the utility properties of semi-finished products and products that use testing methods / statistical hypotheses upon acceptance of raw materials and output products, evaluation parameters for the transferring and accepting,
3. Identification of technological processes in the production of construction materials, the possibility of modeling technological objects, the adequacy of the description,
4. How to transform raw materials into a product, a formal description of the method of production, transformation matrix relating the chemical properties of raw materials in the production of cement clinker,
5. Use of optimization methods in industry and technology - algebraic basis of convex sets,
6. The space of linear functions, methods, formulation of global extreme of the objective function, antagonistic
7. Formulation extrémalizační task in engineering practice, computational mechanism simplex method,
8. The classic role of the extreme solutions - mixing raw material mixtures, the distribution problem, the problem of inventory (ie. Strategies innkeeper)
9. The role of quadratic optimization - optimization problem of the composition of the raw mix in cement production, optimization of mixing raw materials (particle size distribution, porosity distribution foamed plastic, etc..)
10. Non-deterministic optimization models - integer optimization (cutting plan, the problem with dividing panels in the production of the long lines), the optimization principle in the design of the heating system (heating media optimization distribution network),
11. Formulation of an abstract machine, automatic classification, automatic grammar,
12. finite automaton states of an automaton, the language accepted by a finite automaton, design a simple finite automaton and its reduced on the example of the machine for the mixing of raw mix,
13. pushdown automata, pushdown language accepted by the automaton's machines, the conclusion outline of the theory of decidability by Turing theorem.

Work placements

Not applicable.

Aims

Not applicable.

Specification of controlled education, way of implementation and compensation for absences

Extent and forms are specified by guarantor’s regulation updated for every academic year.

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

Not applicable.

Recommended reading

Not applicable.

Classification of course in study plans

  • Programme N-P-C-SI Master's

    branch M , 1 year of study, summer semester, compulsory-optional

  • Programme N-K-C-SI Master's

    branch M , 1 year of study, summer semester, compulsory-optional

  • Programme N-P-E-SI Master's

    branch M , 1 year of study, summer semester, compulsory-optional

Type of course unit

 

Lecture

26 hod., optionally

Teacher / Lecturer

prof. RNDr. Ing. Stanislav Šťastník, CSc. Ph.D.

Syllabus

1. General characteristics of technological processes, system configuration and system structure, organization of technological systems, production of building materials. 2. Signs of mass production, the use of statistical methods in evaluating the utility properties of semi-finished products and products that use testing methods / statistical hypotheses upon acceptance of raw materials and output products, evaluation parameters for the transferring and accepting, 3. Identification of technological processes in the production of construction materials, the possibility of modeling technological objects, the adequacy of the description, 4. How to transform raw materials into a product, a formal description of the method of production, transformation matrix relating the chemical properties of raw materials in the production of cement clinker, 5. Use of optimization methods in industry and technology - algebraic basis of convex sets, 6. The space of linear functions, methods, formulation of global extreme of the objective function, antagonistic 7. Formulation extrémalizační task in engineering practice, computational mechanism simplex method, 8. The classic role of the extreme solutions - mixing raw material mixtures, the distribution problem, the problem of inventory (ie. Strategies innkeeper) 9. The role of quadratic optimization - optimization problem of the composition of the raw mix in cement production, optimization of mixing raw materials (particle size distribution, porosity distribution foamed plastic, etc..) 10. Non-deterministic optimization models - integer optimization (cutting plan, the problem with dividing panels in the production of the long lines), the optimization principle in the design of the heating system (heating media optimization distribution network), 11. Formulation of an abstract machine, automatic classification, automatic grammar, 12. finite automaton states of an automaton, the language accepted by a finite automaton, design a simple finite automaton and its reduced on the example of the machine for the mixing of raw mix, 13. pushdown automata, pushdown language accepted by the automaton's machines, the conclusion outline of the theory of decidability by Turing theorem.

Exercise

26 hod., compulsory

Teacher / Lecturer

prof. RNDr. Ing. Stanislav Šťastník, CSc. Ph.D.

Syllabus

1. Statistical signs of mass production, sample statistics, normal distribution, computational support in Excel spreadsheet environment. 2. Characteristics of the statistical set, the relationship element and the statistical sample. 3. Testing hypotheses jurisdiction, respectively. remoteness element of the sample, the definition of risk proportion of defective products during product acceptance. 4. Correlation analysis of the data sets, the leakage rate correlation. The definition of the parameters, the time dependence of consumption parametric components during solidification of cement paste, 5. Problems solving continuous processes, virtually the statistical regularities of sorting materials on the screens, so called solutions. Sharpness of raw materials on the screens. 6. The determination of the level of risk, Gauss regularity of propagation of uncertainty of physical measurements. 7. Development of a control chart production, mixing problem - the level of sensitivity of the partial raw materials to final grading curve of the aggregate. 8. The formulation of the optimization problem in an Excel spreadsheet, build cost function and restrictive conditions. 9. Calculate the lowest cost transportation problem of distribution of raw materials. 10. Proposal for a track raw mix called. Nutritional problem, determine strategies innkeeper (the. Storage problem). 11. Using optimization principle in the design of track material mixture, mixing aggregate role, the role of determining the ratio for mixing the raw material mixture. 12. Permissible and impermissible solving optimization problems, build concrete cutting plan for dividing panels on long runs. 13. Completing the calculation of partial reports, credit.