Basic research of new technology
Description: Optimization of technological processes of material processing in mechanical engineering related to the transfer of thermal energy imposes increasingly complex requirements for the calculation of energy characteristics. A detailed description of stochastic heat transfer processes, ensuring reliable coincidence of the calculated data with the experimental results, is possible on the basis of modeling and modern computational experiment on a computer. Conducting thermophysical calculations involves the use of engineering calculation methods based on the theory of similarity and modeling. Considerable attention is paid to the development of practical skills in experiment planning, error estimation, and experimental data processing.
Amount of credits: 5
Пререквизиты:
- Machine Manufacture Technology
Course Workload:
| Types of classes | hours |
|---|---|
| Lectures | 15 |
| Practical works | 30 |
| Laboratory works | |
| SAWTG (Student Autonomous Work under Teacher Guidance) | 30 |
| SAW (Student autonomous work) | 75 |
| Form of final control | Exam |
| Final assessment method | exam |
Component: Component by selection
Cycle: Base disciplines
Goal
- The purpose of studying this discipline is to develop undergraduates' skills and competencies necessary for the successful conduct of scientific research in the field of new technology. To equip students with theoretical knowledge and practical skills for conducting scientific research in mechanical engineering, as well as methods for processing and analyzing data from theoretical and experimental studies.
Objective
- A future specialist should: have an idea of: - the main scientific and technical problems and prospects for the development of mechanical engineering in conjunction with related areas of technology; - about the main trends of changes in the operating conditions of transport; know: - Modern methods of production; - design and operating principles of technological production lines; - the basics of comparing and evaluating machines; - to know and be able to use the design features of machines, automated testing system: - modern construction materials; - information about the alternative use of fuel and lubricants and working fluids;
Learning outcome: knowledge and understanding
- Modern production methods; - design and operating principles of technological production lines; - the basics of comparing and evaluating machines; - design features of machines, automated test system
Learning outcome: applying knowledge and understanding
- знать и уметь использовать: - современные конструкционные материалы; - сведения об альтернативном использовании топливно-смазочных материалов и рабочих жидкостей;
Learning outcome: formation of judgments
- have an idea of: - the main scientific and technical problems and prospects for the development of mechanical engineering in conjunction with related areas of technology; - about the main trends of changes in the operating conditions of transport; know: - Modern methods of production; - design and operating principles of technological production lines; - the basics of comparing and evaluating machines; - design features of machines, automated test system
Learning outcome: communicative abilities
- A future specialist should: have an idea of: - the main scientific and technical problems and prospects for the development of mechanical engineering in conjunction with related areas of technology; - about the main trends of changes in the operating conditions of transport; know: - Modern methods of production; - design and operating principles of technological production lines;
Learning outcome: learning skills or learning abilities
- have an idea of the main scientific and technical problems and prospects for the development of mechanical engineering in conjunction with related areas of technology;
Teaching methods
Informational lectures: - introductory lecture, - overview lecture, - multimedia lectures
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 | task 1 | 0-100 |
| task 2 | ||
| 2 rating | task 3 | 0-100 |
| task 4 | ||
| 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 | |
| Assessment criteria are the parameters clearly defined in the syllabus, according to which the current, intermediate and final assessment of students is carried out. | . Completing tasks of students' independent work for 100-90% | Completing tasks of Independent work of students for 89-70 % | Completing tasks of students' independent work for 70-50 % | . Completing tasks of students' independent work for 100-90% |
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
- Topic 1
- Topic 2
- Topic 3
- Topic 4
- Topic 5
Key reading
- 1. Frolov K.V. Methods for improving machines and modern problems of machine science: Fundamentals of machine design. - M.: Mashinostroenie, 1984. - 224 p. 2 Venerable E.K. Forecasting of durability and diagnostics of fatigue of machine parts./ Ed. B.I. Aleksandrova - Minsk, Science and Technology, 1983. 3 Kugel R.V. Tests for the reliability of machines and their elements. - M .: Mashinostroenie, 1982. - 181s. 4 The system of state testing of products. Testing of engineering products. Principles for the classification of conditions System of state testing of products. Testing of engineering products. Principles of classification of operating conditions - M.: VNIIMash, 1984 5 Skorykin Yu.V. Accelerated testing of machine parts and equipment for wear resistance //Using radioactive wear indicators// Ed. d.t.s. V.I. Postnikova. - Minsk: Science and technology, 1972. 6 Main directions and problems of creating testing machines, weight and force measuring instruments.// Ch. ed. Yu.M.Sergienko. - M.: 1985. 7 Volok V.V. Test stands. - M.: Knowledge, 1980. 8 Research and design of testing machines, weight and force measuring instruments. - M.: NIKIMP, 1982 9 Problems of improving testing machines, instruments and means of measuring mass. / / Ch. ed. Yu.M.Sergienko. – M.: NIKIMP, 1981.
- Аскаров, Е. С. Статистические методы в управлении качеством : учеб. пособие / Е. С. Аскаров. - Алматы : ТОО "Лантар Трейд", 2018. - ISBN 978-601-225-447-1 : 4480 т. - Текст : непосредственный. УДК 658.5
- Дмитриев, В. А. Научные основы технологии машиностроения : учебное пособие / В. А. Дмитриев. — Самара : Самарский государственный технический университет, ЭБС АСВ, 2018. — 117 c. — Текст : электронный // Цифровой образовательный ресурс IPR SMART : [сайт]. — URL: https://www.iprbookshop.ru/90645.html (дата обращения: 24.12.2024). — Режим доступа: для авторизир. пользователей
- Научные основы нанотехнологий и новые приборы. Учебник-монография : научное издание / Брайдсон Рик, Р. Майк, Грелл Мартин [и др.] ; под редакцией Р. Келсалла, А. Хэмли, М. Геогегана ; перевод А. Д. Калашников. — Долгопрудный : Издательский Дом «Интеллект», 2011. — 527 c. — ISBN 978-5-91559-048-8. — Текст : электронный // Цифровой образовательный ресурс IPR SMART : [сайт]. — URL: https://www.iprbookshop.ru/103377.html (дата обращения: 24.12.2024). — Режим доступа: для авторизир. пользователей
Further reading
- 1. Адлер Ю.П., Маркова Е.В., Грановский Ю.В. Планирование эксперимента при поиске оптимальных условий. – 2-е изд., перераб. и доп. – М.: Наука. – 1976. – 280 с.
