Modeling of physico-chemical and thermodynamic processes in metallurgy
Description: Metallurgical physics-chemistry and thermodynamics procesterine model metallurgy and chemicals chemistry invarianttar men regression ulgilerinin mysaldaryn koldanyp engineering The same thermodynamic process modeldeu, sony ishinde zertteletin thermodynamics potentialdards taldau Thermodynamic parameters of the model energy processing process at the end of the year HSC Chemistry packaged packets paid to our mothers zhane Metsim and Open AI ChatGPT models in the development of artificial intelligence (AI).
Amount of credits: 5
Пререквизиты:
- Modeling and optimization of processes in metallurgy
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 | oral exam week 16 |
Component: Component by selection
Cycle: Base disciplines
Goal
- To master mathematical models of metallurgical physical and chemical processes and thermodynamic models of thermodynamic analysis of metallurgical processes.
Objective
- Receive mathematical models of specific reactions of technological processes in metallurgy. including thermodynamic modeling
Learning outcome: knowledge and understanding
- Knowledge and understanding of mathematical (analytical, thermodynamic) and physical models of metallurgical processes.
Learning outcome: applying knowledge and understanding
- Application of mathematical models (differential thermodynamic equations) and phase diagrams in metallurgical calculations.
Learning outcome: formation of judgments
- Ability to form conclusions from modeling studies of metallurgical systems.
Learning outcome: communicative abilities
- The ability to scientifically use mathematical models of technological processes in related fields of metallurgy
Learning outcome: learning skills or learning abilities
- The ability to scientifically use mathematical models of technological processes in related fields of metallurgy
Teaching methods
Blended learning (traditional and distance learning)
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 | tasks 1,2 test control 1 | 0-100 |
2 rating | tasks 3,4 test control 2 | 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 | |
Using knowledge in research and communication practice. | The theoretical content of the course was mastered completely without errors with the maximum number of points(Great) | The theoretical content of the course has been fully mastered, without gaps, some practical skills in working with the mastered material have not been sufficiently developed, all the educational tasks provided for in the training program have been completed, the quality of none of them has been assessed with a minimum number of points, some types of tasks have been completed with errors | The theoretical content of the course has been partially mastered, but the gaps are not significant, the necessary practical skills in working with the material mastered have been basically formed, most of the educational tasks provided for in the training program have been completed, some of the completed tasks may contain errors | The theoretical content of the course was mastered completely without errors with the maximum number of points(Great) |
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
- Fundamentals of modeling metallurgical processes
- Analytical modeling of metallurgical processes
- Thermodynamic modeling
- Physical modeling of metallurgical systems using examples of phase equilibrium models
Key reading
- 1. Computer modeling of pyrometallurgical processes by automated calculation of technological parameters / A.M. Mikhailov and others // Proceedings of the VI International Conference. - Ust Kamenogorsk, VNIITsVETMET, 2007. P. 136-140. 2. Klempert V.M. Modeling of innovative objects and processes.-M.: Study 2005. - 93p. 3. Ageev N.G., Naboychenko S.S. Metallurgical calculations using the HSC Chemistry application package. Yekaterinburg, Ural University Press, 2016. 124 p.
Further reading
- 1 Zakgeim A.Yu. Introduction to the modeling of chemical and technological processes, - M. Chemistry, 1982, P. 10 processes, - M.: Chemistry, 1982. - 328 p. 2Vatolin N.A., Moiseev G.K. Thermodynamic modeling in high-temperature inorganic systems. -M.: Metallurgy, 1994. - 352 p. 3 Mathematical model of firing molebdenite materials in a continuous shaft furnace with partial circulation of products /V.P. Malyshev i dr.// Izv. universities. Non-ferrous metallurgy. - 1979. - No. 2. - P. 90-94.