Technological Principles of Flexible Automated Productions
Description: During the study of the discipline, students get acquainted with the structure and stages of the educational process, types and forms of classes, practices, organization of intermediate and final control. Students get acquainted with the design of automated production sites, workshops and flexible production systems (GPS) designed to implement production processes for manufacturing products of the required quality. The discipline reveals the importance of the organization of flexible production systems, production modules with quick-change adaptations of metal-cutting tools, a system for setting up and quality control of the manufacturing process of mechanical engineering products.
Amount of credits: 5
Пререквизиты:
- Introduction to Engineering
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: Profiling disciplines
Goal
- The purpose of the study of the discipline is the formation of students' knowledge and practical skills in designing automated production areas, workshops and flexible production systems (GPS), designed to implement the production processes for manufacturing products of the required quality in the specified amount with the appropriate level of efficiency and all labor protection requirements and ecology.
Objective
- familiarization with the principles of creating automated production sites and workshops, methods of designing automated engineering industries
- mastering the design methods of automated production sites and workshops using modeling and optimization tools.
Learning outcome: knowledge and understanding
- - the main stages of designing engineering products, tools equipment for engineering and technological processes - methods for evaluating technological, operational, aesthetic, economic and managerial parameters of engineering productions; - methods and analysis tools used for diagnosis engineering facilities
Learning outcome: applying knowledge and understanding
- - make basic design calculations of engineering products and technological equipment, taking into account their various parameters.
Learning outcome: formation of judgments
- in the development of projects of engineering products, technological equipment, automation and diagnostics of engineering industries
Learning outcome: communicative abilities
- The ability to transmit educational material, present the material or problem clearly and understandably, arouse interest in the subject, arouse active independent thought in students.
Learning outcome: learning skills or learning abilities
- ability to use modern information technology applied software for solving problems professional activity
Teaching methods
Пәннің электронды оқыту кешені, Интернет, практикалық жұмыс
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 | Practical work | 0-100 |
| 2 rating | Реферат | 0-100 |
| 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 | |
| In accordance with Section 8, "The policy of evaluating students' academic achievements" AP NJC "VKTU" 029-III-2022 Academic policy of NJC "VKTU named after D. Serikbayev" | He has theoretical knowledge, knows the terminology and basic concepts of the discipline, is able to present lecture material logically and clearly, understands technological processes and their components, analyzes the total amount of knowledge acquired for use in individual tasks, shows logical and reasonable solutions when performing practical work. | He has theoretical knowledge, knows the terminology and basic concepts of the discipline, is able to present lecture material logically and clearly, understands technological processes and their components, but with the help of a teacher analyzes the total amount of knowledge acquired for use in individual tasks and shows logical and reasonable solutions when performing practical work by 70-89%. | He has more than 50% theoretical knowledge, knows the terminology and basic concepts of the discipline, is able to present lecture material logically and clearly, understands technological processes and their main components, only with the help of a teacher can apply the amount of knowledge gained to perform individual tasks and shows logical and informed decisions when performing practical work by 50-69%. | He has theoretical knowledge, knows the terminology and basic concepts of the discipline, is able to present lecture material logically and clearly, understands technological processes and their components, analyzes the total amount of knowledge acquired for use in individual tasks, shows logical and reasonable solutions when performing practical work. |
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
- Topic 6
- Topic 7
- Topic 8
- Topic 9
- Topic 10
- Topic 11
- Topic 12
- Topic 13
- Topic 14
- Topic 15
Key reading
- 1.Аверченков, В. И. Основы математического моделирования технических систем [Электрон-ный ресурс]: учебное пособие / В. И. Аверченков, В.П. Федоров, М. Л. Хейфец. – 2-е изд., стереотип.– М.: ФЛИНТА, 2011. – 271 с. 2.Афонин А. М.Теоретические основы разработки и моделирования систем автоматиза-ции: Учебное пособие / А.М. Афонин, Ю.Н. Царегородцев, А.М. Петрова и др. - М.: Форум: НИЦ ИНФРА-М, 2014. - 192 с.: 2. Горохов В. А. Проектирование механосборочных участков и цехов: Учебник/В.А.Горохов, Н.В.Беляков, А.Г.Схиртладзе и др. - М.: НИЦ ИНФРА-М, Нов. знание, 2015. - 540 с. 3. Киселев Е. С. Методики расчета механосборочных и вспомогательных цехов, участков и малых предприятий машиностроительного производства: Уч. пос./ Е.С. Киселев; Под ред. Л.В. Ху-добина. - 2 изд., испр. и доп. - М.: ИНФРА-М, 2014. - 143 с. 4. Клепиков В. В. Технология машиностроения: технологические системы на ЭВМ: Учебник/В.В.Клепиков, О.В.Таратынов - М.: НИЦ ИНФРА-М, 2015. - 269 с.
Further reading
- Периодические издания 1. Автоматизация и современные технологии. 2. Известия вузов. Машиностроение. 3.Вестник машиностроения. 5.3.7 Сборка в машиностроении и приборостроении. 5.3.8 Химическое и нефтегазовое машиностроение. 5.3.9 Автоматика и телемеханика 5.3.10 Теория и системы управления. 5.3.11 Микропроцессорные средства и системы.
