Automation of Standard Technology Processes

Kadyroldina Albina Talapzhanovna

The instructor profile

Description: The discipline introduces students to the principles of construction and methods of analysis and synthesis of automatic systems used to control technological processes in production.Principles of construction of automation systems , their role and functions in various technological systems. Types of used automatic devices, their device and operating principle. Methods of practical evaluation of the quality of automation systems and provide the necessary quality indicators of automatic devices.

Amount of credits: 5

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 writing exam

Component: Component by selection

Cycle: Base disciplines

Goal
  • The purpose of studying the discipline is: studying the structure of building automation systems, principles of regulation, varieties and characteristics of the main elements of automation systems, acquiring skills in automating production processes of processing industries, determining the quality of regulation, gaining experience in communicating with engineering design documentation for automation, introducing comparative analysis principles of regulation in a logical sequence of actions in each principle.
Objective
  • The purpose of studying the discipline is: studying the structure of building automation systems, principles of regulation, varieties and characteristics of the main elements of automation systems, acquiring skills in automating production processes of processing industries, determining the quality of regulation, gaining experience in communicating with engineering design documentation for automation, introducing comparative analysis principles of regulation in a logical sequence of actions in each principle.
Learning outcome: knowledge and understanding
  • Knows technological processes, requirements for control and regulation of their main technological parameters.
Learning outcome: applying knowledge and understanding
  • Understand the essence of the technological processes of the industry
Learning outcome: formation of judgments
  • Conduct a preliminary feasibility study of design decisions, perform organizational and planning calculations for the creation or reorganization of production sites, plan the work of personnel and payroll, apply advanced operating methods.
Learning outcome: communicative abilities
  • Ability to participate in work on innovative projects using basic research methods based on the systematic study of scientific and technical information, domestic and foreign experience.
Learning outcome: learning skills or learning abilities
  • Apply modern methods to develop energy-saving and environmentally friendly automation and control systems that ensure the safety of human life and their protection from the possible consequences of accidents, disasters and natural disasters.
Teaching methods

When conducting training sessions, the following educational technologies are provided: - interactive lecture (the use of the following active forms of training: guided (guided) discussion or conversation; moderation; demonstration of slides or educational films; brainstorming; motivational speech); - building scenarios for the development of various situations based on the specified conditions; - information and communication (for example, classes in a computer class using professional application software packages); - search and research (independent research activity of students in the learning process); - solving educational tasks.

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 works 0-100
Practical works
Practical works
Practical works
2  rating Practical works 0-100
Practical works
Practical works
Practical works
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
  • The modern level of automation of technological processes in industries
  • Typical schemes of automated regulation of technological variables (flow, pressure, temperature, level, concentration, etc
  • Sequence of automation system selection
  • Regulation of the main technological parameters
  • Automation of flow control systems
  • Automation of level control systems
  • Automation of pressure control systems
  • Automation of temperature systems
  • Automation of control systems for product composition and quality parameters
Key reading
  • Boronihin A.S., Grizak IY.S. Osnovy avtomatizatsii proizvodstva, vychislitelnaıa tehnika i kontrolno-izmeritelnye pribory na predpriıatiıah pererabatyvaiyşei promyşlennosti: Uchebnoe posobie. - M.: Stroiizdat, 2001.
  • Kahanov A.A. Sistemy upravleniıa dlıa avtomatizatsii proizvodstvennyh protsessov. – Ust – Kamenogorsk: VKGTU, 2002.
  • Sovremennye tehnologii avtomatizatsii: Ejekvartalnyi jurnal. – M.: Izd. STA – PRESS.