Theory of engineering experiment for heat power engineering
Description: The discipline considers methodology, preparation and conduct of experiments on heat engineering processes, as well as processing the results of experimental studies, confidence probability, the theory of gross errors of a number of measurements, evaluation of experimental studies for reproducibility of results, selection of empirical dependencies, assessment of the adequacy of theoretical solutions and regression analysis.
Amount of credits: 5
Пререквизиты:
- Theoretical basics of heat engineering
Course Workload:
| Types of classes | hours |
|---|---|
| Lectures | 15 |
| Practical works | 30 |
| Laboratory works | |
| SAWTG (Student Autonomous Work under Teacher Guidance) | 75 |
| SAW (Student autonomous work) | 30 |
| Form of final control | Exam |
| Final assessment method |
Component: Component by selection
Cycle: Base disciplines
Goal
- study the basic concepts of the theory of engineering experiment
Objective
- learn how to practically use the theory of experiment in solving various engineering problems
Learning outcome: knowledge and understanding
- principles of construction and patterns of development of technical systems; methods for planning experiments in the field of main directions for improving production technology in the energy sector
Learning outcome: applying knowledge and understanding
- calculate the energy effect from measures to improve production technology; draw up a research program to confirm the effectiveness of measures to improve production technology
Learning outcome: formation of judgments
- the ability to generate ideas to improve existing technologies or create new ones
Learning outcome: communicative abilities
- methods for planning an experiment and setting tasks for analyzing experimental data; the basics of designing and presenting the results of scientific work
Learning outcome: learning skills or learning abilities
- interpret the results of experimental and computational studies and present them in the form of reports, abstracts, scientific publications and public discussions
Teaching methods
Энергетикадағы инженерлік эксперимент негіздері
Assessment of the student's knowledge
Teacher oversees various tasks related to ongoing assessment and determines students' current performance twice during each academic period. Ratings 1 and 2 are formulated based on the outcomes of this ongoing assessment. The student's learning achievements are assessed using a 100-point scale, and the final grades P1 and P2 are calculated as the average of their ongoing performance evaluations. The teacher evaluates the student's work throughout the academic period in alignment with the assignment submission schedule for the discipline. The assessment system may incorporate a mix of written and oral, group and individual formats.
| Period | Type of task | Total |
|---|---|---|
| 1 rating | Fundamentals of measurement accuracy planning when preparing an experiment | 0-100 |
| Confidence interval; using Student's distribution. Errors of indirect measurements. | ||
| Methods for establishing the type of distribution law. | ||
| Experiment planning tasks | ||
| Processing the results of measuring a constant value: - building a distribution function and a histogram; - selection of the number of grouping intervals; - assessment of the distribution center; - assessment of the type of distribution law; - definition of the boundaries of misses | ||
| Selection of the parameters of the one-factor dependence model: - an approximate estimate directly from the graph of the location of the experimental points, - the least squares estimate, - comparison of the results. | ||
| Oral survey | ||
| Midterm control 2 | ||
| 2 rating | Analysis of errors in the study of single-factor dependencies | 0-100 |
| Stepwise regression analysis. Partial correlation coefficient. | ||
| Planning extreme experiments | ||
| Planning and processing the results of an active two-factor experiment | ||
| Choice of Mathematical Models for Approximation of the Multidimensional Response Surface and Its Estimation | ||
| Methods of expert assessments for decision making. Questioning and questioning of experts. Methods for Ordering Alternatives | ||
| Oral survey | ||
| Midterm control 2 | ||
| Total control | Exam | 0-100 |
The evaluating policy of learning outcomes by work type
| Type of task | 90-100 | 70-89 | 50-69 | 0-49 |
|---|---|---|---|---|
| Excellent | Good | Satisfactory | Unsatisfactory |
Evaluation form
The student's final grade in the course is calculated on a 100 point grading scale, it includes:
- 40% of the examination result;
- 60% of current control result.
The final grade is calculated by the formula:
| FG = 0,6 | MT1+MT2 | +0,4E |
| 2 |
Where Midterm 1, Midterm 2are digital equivalents of the grades of Midterm 1 and 2;
E is a digital equivalent of the exam grade.
Final alphabetical grade and its equivalent in points:
The letter grading system for students' academic achievements, corresponding to the numerical equivalent on a four-point scale:
| Alphabetical grade | Numerical value | Points (%) | Traditional grade |
|---|---|---|---|
| A | 4.0 | 95-100 | Excellent |
| A- | 3.67 | 90-94 | |
| B+ | 3.33 | 85-89 | Good |
| B | 3.0 | 80-84 | |
| B- | 2.67 | 75-79 | |
| C+ | 2.33 | 70-74 | |
| C | 2.0 | 65-69 | Satisfactory |
| C- | 1.67 | 60-64 | |
| D+ | 1.33 | 55-59 | |
| D | 1.0 | 50-54 | |
| FX | 0.5 | 25-49 | Unsatisfactory |
| F | 0 | 0-24 |
Topics of lectures
- General questions of organization and planning of the experiment
- Planning and processing of results when measuring constant and random variables
- Planning and processing of results in the study of single-factor dependencies
- Passive multivariate experiments
- Planning and processing the results of active multivariate experiments
- Peer Reviews in Engineering Research
- Аралық аттестацияны дайындау және тапсыру
Key reading
- Семенов, Б. А. Инженерный эксперимент в промышленной теплотехнике, теплоэнергетике и теплотехнологиях / Б. А. Семенов. - 2-е изд., доп. - Санкт-Петербург : Лань, 2013. - 400 с. - ISBN 978-5-8114-1392-8 : Б. ц. - URL: http://e.lanbook.com/books/element.php?pl1_cid=25&pl1_id=5107 (дата обращения: 15.05.2020). - Режим доступа: ЭБС Лань. - Текст : электронный.
- Порсев, Е. Г. Организация и планирование экспериментов : учебное пособие / Е.Г. Порсев. - Новосибирск : НГТУ, 2010. - 155 с. - ISBN 978-5-7782-1461-3 : Б. ц. - URL: http://biblioclub.ru/index.php?page=book&id=228880/ (дата обращения: 24.03.2020). - Режим доступа: ЭБС Университетская библиотека ONLINE. - Текст : электронный.
- Рогов, Владимир Александрович. Методика и практика технических экспериментов : учеб. пособие / В. А. Рогов, Г. Г. Позняк. - М. : Академия, 2005. - 288 с. - (Высшее профессиональное образование. Машиностроение). - Библиогр.: с. 279-280. - ISBN 5-7695-1951-7 : 166.50 р. - Текст : непосредственный.
Further reading
- Шемпелев, А. Г. Планирование эксперимента и организация промышленных испытаний : Курс лекций: Учеб. пособие. Специальность 100700 / А. Г. Шемпелев ; ВятГУ, ЭТФ. каф. ТиГ. - Киров : ВятГУ, 2006. - Б. ц. - Текст : электронный.
