Course detail
Fundamentals of Technological Processes
FAST-BJ05Acad. year: 2013/2014
The subject contains, considering the technological profile of the branch, theoretical conditions for selected technological operations – classification, mixing problem, conditions for securing the production quality according to ISO. The course introduces the basics of liquid heterogeneous bodies. Approaching basic theory of compaction, mixing and homogenizing mixtures. The subject concerns further the education in the probability area and in fundamentals of mathematical statistics. The mass industrial production uses selected statistical methods for evaluation of production procedures i.e. descriptive statistics, frequency tables and histograms. The initial analysis of data, quartile graphs, dispersion variance and covariance analysis. Tests of distribution accordance, quality control. Estimates and testing of hypotheses.
The lectures are accompanied with tutorials having partly calculation character.
Language of instruction
Number of ECTS credits
Mode of study
Guarantor
Department
Learning outcomes of the course unit
Acquaintance with problems of raw materials preparation, mixing of substances, compacting.
Acquiring with practical applications of statistical evaluation for concrete problems in the production and evaluation of processes and production quality.
Understand the patterns of technological processes of filtration, fluidization, centrifugation, mixing.
Managing of statistical evaluation according to the standard ČSN EN 206 – 1.
Prerequisites
Knowledge of mathematics - the calculation of general statistics
Knowledge of building materials - properties of building materials.
Co-requisites
Knowledge of Chemistry - Classification of substances according to particle size, particle separation options
Knowledge of mathematics - General Stats.
Planned learning activities and teaching methods
Teaching methods depend on the teaching methods are described in Article 7 of the Study and Examination Regulations of the University.
For teaching system is used LMS Moodle.
During the lessons are organized excursions, excursions to companies specifically GEAM Dolní Rožínka - a comprehensive demonstration of the processes of raw material extraction, processing of raw materials, materials separati
Assesment methods and criteria linked to learning outcomes
On each student is required to draw up a protocol. Each protocol is evaluated by the teacher.
The test includes a written part and an oral part. Student must pass part of written and oral.
Course curriculum
2.Processing of statistical set. Calculation of statistical set indexes.
3.Estimation theory. Estimation of basic set parameters from known-calculated-characteristics of random selection. Point estimation. Determination of reliability interval.
4.Statistical hypotheses. Testing of differences significance.
5.Coincidence tests of distribution.
6.Tests of observation results distance.
7.Statistical examination of dependence. Explanation of problem. Application.
8.Statistical evaluation of concrete class following the demands of standard ČSN EN 206-1
9.Regulations diagrams of Schuart. Principle, use, practical application, calculation of model problems.
10.Mechanics of liquid heterogeneous bodies. Sedimentation. Rate of sedimenta-tion. Capacity of sedimentation tanks. Filtration. Rate of filtration. Process of filtration.
11.Mechanics of liquid heterogeneous bodies. Centrifugation. Size of centrifugal force.
12.Fundamentals of compacting theory. Stamping - compacting by stamping, determination of maximal surface tension of stamped material, impact.
13.Vibration – compacting by vibration. Pressing. Rolling. Mixing of substances and homogenization of mixtures. Mixing in liquid medium. Mixing in solid, lose and paste-like medium. Efficiency of mixing.
Work placements
Aims
Specification of controlled education, way of implementation and compensation for absences
Recommended optional programme components
Prerequisites and corequisites
Basic literature
Recommended reading
Hátle, J., Likeš, J.: Základy počtu pravděpodnosti a matematické statistiky. SNTL, 1972. (CS)
Lamoš, F., Potocký, R.: Pravdepodobnosť a matematická štatistika. Alfa, 1989. (SK)
Classification of course in study plans
- Programme B-K-C-SI Bachelor's
branch M , 3 year of study, winter semester, compulsory
- Programme B-P-C-SI Bachelor's
branch M , 3 year of study, winter semester, compulsory
- Programme B-P-C-ST Bachelor's
branch M , 3 year of study, winter semester, compulsory
- Programme B-P-E-SI Bachelor's
branch M , 3 year of study, winter semester, compulsory
Type of course unit
Lecture
Teacher / Lecturer
Syllabus
2.Processing of statistical set. Calculation of statistical set indexes.
3.Estimation theory. Estimation of basic set parameters from known-calculated-characteristics of random selection. Point estimation. Determination of reliability interval.
4.Statistical hypotheses. Testing of differences significance.
5.Coincidence tests of distribution.
6.Tests of observation results distance.
7.Statistical examination of dependence. Explanation of problem. Application.
8.Statistical evaluation of concrete class following the demands of standard ČSN EN 206-1
9.Regulations diagrams of Schuart. Principle, use, practical application, calculation of model problems.
10.Mechanics of liquid heterogeneous bodies. Sedimentation. Rate of sedimenta-tion. Capacity of sedimentation tanks. Filtration. Rate of filtration. Process of filtration.
11.Mechanics of liquid heterogeneous bodies. Centrifugation. Size of centrifugal force.
12.Fundamentals of compacting theory. Stamping - compacting by stamping, determination of maximal surface tension of stamped material, impact.
13.Vibration – compacting by vibration. Pressing. Rolling. Mixing of substances and homogenization of mixtures. Mixing in liquid medium. Mixing in solid, lose and paste-like medium. Efficiency of mixing.
Exercise
Teacher / Lecturer
Syllabus
Statistical indicators 2.Výpočty file.
3.Teorie estimate. Parameter estimation of the population of the known - calculated - the characteristics of random selection, point estimate, determination of confidence intervals.
4.Statistical hypothesis. Testing the significance of differences.
5.Testy compliance division.
6.Testy remoteness observation results
7.Statistical evaluation of concrete classes according to DIN EN 206 - 1
8th Excursions.
9.Schuart control charts. The principle use of practical application, the calculation of typical examples.
10th Examples of the process of establishment. Speed ​​establishment. Performance sedimentation.
11th Numerical examples of the filtration process. The filtration rate. Filtration process.
12.Mixing of substances and mixtures homogenization. Mixing efficiency. Power mixers.
13.Final control protocols from previous exercises and all course requirements. Credit.