Ore processing machines and equipment
Description: Formation of students' practical skills in design calculation of structural and operational parameters of machines and equipment for rock classification (screens with a flat and rotating sifting surface) and rock crushing (hammer crushers).
Amount of credits: 6
Пререквизиты:
- The device of mining machines
Course Workload:
| Types of classes | hours |
|---|---|
| Lectures | 30 |
| Practical works | 30 |
| Laboratory works | |
| SAWTG (Student Autonomous Work under Teacher Guidance) | 30 |
| SAW (Student autonomous work) | 90 |
| Form of final control | Exam |
| Final assessment method | written exam |
Component: University component
Cycle: Base disciplines
Goal
- The purpose of the discipline is to develop general professional and professional competencies in graduates, enabling them to carry out effective engineering activities in subsurface environments during the exploration, extraction, and processing of solid minerals, as well as in the research, design, and creation of competitive technological machines and equipment for the mining industry.
Objective
- Acquisition by students of knowledge about mining machines and equipment, and their role in the field of mining production; mastering modern methods of research, design, and calculation of mining machine operating modes; developing practical skills in production-technological, organizational-management, research, and design activities related to the use of mining machines and equipment; developing the ability to provide well-reasoned justification for technical decisions and fostering motivation for independently improving professional knowledge and skills within their field of activity.
Learning outcome: knowledge and understanding
- To know the classification and purpose of the main ore-processing machines (crushers, mills, screens, classifiers, separators, etc.); To understand the principles of operation, design features, and areas of application of ore-processing equipment; To know the basic technological schemes of crushing, grinding, and classification of mineral raw materials; To understand the physical and mechanical properties of processed ores and their influence on equipment selection; To know the fundamentals of calculation and design of working components of ore-processing machines; To understand the requirements of industrial safety, reliability, and energy efficiency during equipment operation; To know modern trends in the development and modernization of ore-processing machines, including international experience.
Learning outcome: applying knowledge and understanding
- Apply theoretical knowledge to select optimal ore-processing machines depending on the properties of the processed raw material and the technological flowsheet; Perform engineering calculations of the main parameters of crushing, grinding, and classification equipment; Use equipment selection methods for designing mineral processing lines; Analyze the technical condition and performance efficiency of ore-processing machines; Apply knowledge of safety, reliability, and resource-saving practices during equipment operation; Use modern software tools for modeling and optimizing mineral processing operations; Solve production tasks related to modernization, repair, and operation of ore-processing machines.
Learning outcome: formation of judgments
- Critically evaluate the effectiveness of using various ore-processing machines and technological flowsheets; Form well-reasoned conclusions regarding the feasibility of selecting specific equipment based on operating conditions and ore characteristics; Assess the reliability, energy efficiency, and productivity of equipment in accordance with modern requirements; Make justified engineering decisions on equipment modernization or replacement; Analyze production situations and develop recommendations to improve the efficiency of crushing, grinding, and classification processes; Consider environmental, economic, and technological factors when formulating engineering decisions.
Learning outcome: communicative abilities
- Clearly and competently present technical solutions related to the selection and operation of ore-processing machines, both orally and in written form; Use professional terminology when communicating with colleagues, engineers, and technical personnel; Present the results of calculations, projects, and research in the form of reports, presentations, and graphical materials; Defend proposed engineering solutions with well-reasoned arguments in professional discussions; Work effectively in a team when solving complex tasks related to the design and operation of ore-processing facilities; Interact efficiently with industrial and scientific teams for knowledge exchange and implementation of innovations.
Learning outcome: learning skills or learning abilities
- Independently study technical literature, standards, and reference materials on ore-processing machines; Analyze modern scientific publications and innovative solutions in the field of mineral processing; Use the acquired knowledge for further professional and scientific development; master new methods of equipment calculation and design using digital technologies and specialized software packages; Critically assess one’s own level of preparation and identify areas for improvement; Develop skills for continuous professional learning in order to adapt to modern requirements of the mining and mineral-processing industries.
Teaching methods
In studying the discipline, modern educational technologies are used, aimed at developing students’ professional competencies: Interactive lectures Use of multimedia presentations and animations demonstrating the operation of ore-processing machines; Analysis of industrial case studies and practical problems. Practice-oriented learning Performing calculation-graphic and laboratory work using real equipment and training stands; Solving engineering tasks related to the selection and modernization of ore-processing machines. Information and Communication Technologies (ICT) Application of specialized software (AutoCAD, SolidWorks, MathCAD, Ansys) for modeling crushing, grinding, and classification processes; Use of educational video materials and virtual laboratories. Project-based learning Implementation of individual and group projects on designing and optimizing mineral processing flowsheets; Preparation of presentations and project defense. Problem-based learning (PBL) Assigning real industrial tasks to students and searching for solutions using theoretical knowledge and practical experience. Modular-rating assessment system Step-by-step assessment of knowledge through tests, mini-cases, and calculation tasks; A cumulative scoring system that allows objective evaluation of student activity and independent work. Elements of distance learning Working through platforms such as Moodle, Microsoft Teams, Google Classroom; Online testing and electronic submission of assignments.
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 | An individual assignment is given to each student for the rating. | 0-100 |
| 2 rating | An individual assignment is given to each student for the rating. | 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" | Possesses theoretical knowledge, knows the terminology and key concepts of the discipline, is able to present lecture material clearly and logically, understands technological processes and their components, analyzes the full scope of acquired knowledge for use in individual assignments, and demonstrates logical and well-reasoned solutions when performing practical work. | Possesses theoretical knowledge, knows the terminology and key concepts of the discipline, is able to present lecture material clearly and logically, understands technological processes and their components, but requires the instructor’s assistance to analyze the overall volume of acquired knowledge for use in individual assignments, and demonstrates logical and well-reasoned solutions when performing practical work at the level of 70–89%. | Possesses more than 50% of the theoretical knowledge, knows the terminology and key concepts of the discipline, is able to present lecture material clearly and logically, understands technological processes and their main components, but can apply the acquired knowledge to complete individual assignments only with the instructor’s assistance, and demonstrates logical and well-reasoned solutions when performing practical work at a level of 50–69%. | Possesses theoretical knowledge, knows the terminology and key concepts of the discipline, is able to present lecture material clearly and logically, understands technological processes and their components, analyzes the full scope of acquired knowledge for use in individual assignments, and demonstrates logical and well-reasoned 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
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Key reading
- Мельников Н.В. Обогащение полезных ископаемых. – М.: Недра, 1995. Тищенко И.А., Мельников Н.В. Машины и оборудование для обогащения полезных ископаемых. – М.: Недра, 1987. Крутов В.И. Машины и оборудование для дробления, измельчения и сортировки полезных ископаемых. – М.: Недра, 1990. Кокшаров В.Н. Машины и оборудование для обогащения полезных ископаемых. – Екатеринбург: УГГУ, 2003. Мартынов В.Г. Процессы и машины для обогащения полезных ископаемых. – М.: МГГУ, 2008. Балакин В.В., Гришин Н.Н. Дробильные и измельчительные машины. – М.: Недра, 1992. Забелов В.П. Грохочение и классификация полезных ископаемых. – М.: Недра, 1986. Волков Е.Б. Гидравлические классификаторы и их эксплуатация. – М.: Недра, 1989. Машины и оборудование для обогащения полезных ископаемых: Учебник для вузов / Под ред. С.С. Богданова. – М.: Недра, 2000. Modern Mineral Processing and Beneficiation (шетелдік әдебиеттер, мысалы: Wills’ Mineral Processing Technology, Butterworth-Heinemann, 2020).
Further reading
- Артемьев С.С. Механическое оборудование предприятий строительных материалов. – М.: Высшая школа, 1991. Дробильно-сортировочное оборудование: Справочник / Под ред. А.А. Кудрина. – М.: Недра, 1983. Гришин Н.Н. Процессы и аппараты переработки минерального сырья. – М.: Недра, 1986. Александров А.И. Машины и аппараты химических производств (в части дробления, измельчения и классификации). – М.: Химия, 1990. Мельников Н.В. Основы обогащения полезных ископаемых. – М.: Недра, 1982. Горное оборудование: Справочник / Под ред. В.А. Копылова. – М.: Недра, 1986. Алексеев С.М. Машины для дробления и измельчения материалов. – Л.: Машиностроение, 1987. Дробильно-размольное оборудование: Учеб. пособие для вузов / Под ред. Ю.Н. Романовича. – М.: Недра, 2005. Машины и оборудование обогатительных фабрик / Учебник для вузов, ред. Л.А. Пучков. – Екатеринбург: УГГУ, 2009. Wills, B.A., Finch, J. Wills’ Mineral Processing Technology: An Introduction to the Practical Aspects of Ore Treatment and Mineral Recovery. – 8th ed. – Butterworth-Heinemann, 2020.
