| Subject name (in Hungarian, in English) | Coupled Problems in Mechanics | |||
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Coupled Problems in Mechanics
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| Neptun code | BMEGEMMNWCP | |||
| Type | study unit with contact hours | |||
| Course types and number of hours (weekly / semester) | course type: | lecture (theory) | exercise | laboratory excercise |
| number of hours (weekly): | 1 | 0 | 1 | |
| nature (connected / stand-alone): | - | - | individual | |
| Type of assessments (quality evaluation) | mid-term grade | |||
| ECTS | 3 | |||
| Subject coordinator | name: | Dr. Kovács Ádám | ||
| post: | associate professor | |||
| contact: | adamo@mm.bme.hu | |||
| Host organization | Department of Applied Mechanics | |||
| http://www.mm.bme.hu/ | ||||
| Course homepage | http://www.mm.bme.hu/targyak/?BMEGEMMNWCP | |||
| Course language | english | |||
| Primary curriculum type | mandatory | |||
| Direct prerequisites | Strong prerequisite | none | ||
| Weak prerequisite | ||||
| Parallel prerequisite | ||||
| Milestone prerequisite | at least obtained 0 ECTS | |||
| Excluding condition | none | |||
Aim
The aim of the course is to acquaint students with the research methods of the most important related tasks in mechanics: diffusion type tasks, thermal stress calculation with rod model, planar and thick-walled pipe model, modeling of microelectromechanical systems, sensitivity of sensors and interferences, tasks. Using a problem-oriented approach, students of the subject acquire joint, complex methods.
Learning outcomes
Competences that can be acquired by completing the course
Knowledge
He has a comprehensive knowledge of the purpose, methods, and limitations of coupled solid state mechanics. He possesses knowledge of strength analysis for diffusion problems. It distinguishes between microelectromechanical systems. He is aware of the physical meaning of different MEMS sensitivity factors. Understands the basic equations describing the liquid-solid and solid-solid relationship. Understands how to calculate the voltage state in several types of load cases. He is familiar with the basic laws of solid state mechanics, thermodynamics and electricity. Knows the theoretical foundations of thermo-electromechanical fields. It systematizes the results of deformation caused by heat, electrical, and moisture type loads. It is in possession of tasks related to methods of strength analysis.
Ability
Selects the time horizon, test level, and methods to be used during stress analysis. Defines the physical characteristics to be calculated (temperature, current, stress, deformation, deformation). It analyzes the results obtained in terms of reality, predictability and acceptability. Able to distinguish between the interpretation of MEMS devices. Interprets the results obtained by solving related tasks. Apply modern numerical voltage calculation methods. Determines the results obtained by finite element analysis of diffusion-type problems. Develops your knowledge in the field of numerical stress analysis. Solves the Hertz contact problem with a cylindrical and semi-infinite plane model. Calculates the sensitivity factor of capacitive and piezoresistive pressure sensors.
Attitude
He constantly monitors his work, results and conclusions. It continuously expands your knowledge of solid state mechanics. Open to the use of information technology tools. It seeks to learn about and use novel theories of mechanics. It develops your ability to provide accurate and error-free problem solving, engineering precision and accuracy.
Independence and responsibility
Collaborates with the instructor and fellow students to expand knowledge. Accepts well-founded professional and other critical remarks. In some situations, as part of a team, you work with your fellow students to solve tasks. With his knowledge, he makes a responsible, informed decision based on his analyzes. He feels responsible for solid state mechanics, finite element stress analysis, and present and future generations.
Teaching methodology
The subject consists of theoretical and laboratory courses of the same size. They help to understand the theoretical materials presented in the lecture, and the simulation skills are developed by the numerical problems solved in the laboratories. During the lecture, the most important parts of the material are conducted on a board in order for the joint work to help the students understand the curriculum. The animations and examples projected on the theoretical courses further help to master the curriculum. We provide regular consultations during the semester.
Support materials
Textbook
Morand HJ, Ohayon R. Fluid Structure Interaction. Wiley. 1995. New York. ISBN 0-471-94459-9
Zienkiewicz OC, Taylor RL. Finite Element Method, Volume 1 - The Basis. Elsevier, 2000. Amsterdam. ISBN 0-070-84174-8
Lobontiu N, Garcia E. Mechanics of Microelectromechanical Systems. Kluwer. 2005. Amsterdam. ISBN 9-781-40208013-5
Lecture notes
There is no note available for the subject when filling in the form, its earliest publication date is 2020.
Online material
http://www.mm.bme.hu/targyak/?BMEGEMMNWCP
Validity of the course description
| Start of validity: | 2021. July 1. |
| End of validity: | 2026. June 30. |
General rules
Learning outcomes are assessed on the basis of three mid-year written performance measures (two summative and one partial study performance assessment). Summarizing academic performance evaluation: a complex, written way of evaluating the competence-type competence elements of the subject and knowledge in the form of an indoor dissertation, the dissertation focuses on the application of the acquired knowledge, thus focusing on problem recognition and simulation, on the other hand, it asks for the necessary lexical knowledge during the performance appraisal, the available working time is 45-45 minutes. Partial performance assessment (homework): a complex way of evaluating the knowledge, ability, attitude, as well as independence and responsibility type competence elements of the subject, the form of which is the individual homework.
Assessment methods
Detailed description of mid-term assessments
| Mid-term assessment No. 1 | ||
| Type: | summative assessment | |
| Number: | 2 | |
| Purpose, description: | Summative assessments collectively examine and assess students ’learning outcomes defined by knowledge and ability type competencies. Accordingly, each summative assessment assesses the mastery of the designated theoretical knowledge as well as the existence of knowledge and skills applied in the laboratory practice. Each summative assessment focuses 50% on theoretical knowledge and 50% on application skills. They will be completed on the date specified in the study performance assessment plan, expected to be in the 7th and 13th weeks of education. Each of the two summary performance evaluations can earn 15-15 points. | |
| Mid-term assessment No. 2 | ||
| Type: | formative assessment, simple | |
| Number: | 1 | |
| Purpose, description: | The basic aim of the partial performance assessment is to examine the existence of attitudes and learning outcomes belonging to the autonomy and responsibility competence group. The way to do this is to create a piece of homework to be done individually. Students can choose the topic of the task from the list described above. The content and form requirements and evaluation principles of the completed homework are clearly included in the assignment and the website of the subject. Up to 20 points can be earned with homework. | |
Detailed description of assessments performed during the examination period
The subject does not include assessment during the examination period.
The weight of mid-term assessments in signing or in final grading
| ID | Proportion |
|---|---|
| Mid-term assessment No. 1 | 67 % |
| Mid-term assessment No. 2 | 33 % |
The weight of partial exams in grade
There is no exam belongs to the subject.
Determination of the grade
| Grade | ECTS | The grade expressed in percents |
|---|---|---|
| very good (5) | Excellent [A] | above 90 % |
| very good (5) | Very Good [B] | 85 % - 90 % |
| good (4) | Good [C] | 70 % - 85 % |
| satisfactory (3) | Satisfactory [D] | 56 % - 70 % |
| sufficient (2) | Pass [E] | 40 % - 56 % |
| insufficient (1) | Fail [F] | below 40 % |
The lower limit specified for each grade already belongs to that grade.
Attendance and participation requirements
Must be present at at least 70% (rounded down) of lectures.
At least 70% of laboratory practices (rounded down) must be actively attended.
Special rules for improving, retaken and replacement
The special rules for improving, retaken and replacement shall be interpreted and applied in conjunction with the general rules of the CoS (TVSZ).
| Need mid-term assessment to invidually complete? | ||
| yes | ||
| Can the submitted and accepted partial performance assessments be resubmitted until the end of the replacement period in order to achieve better results? | ||
| NO | ||
| The way of retaking or improving a summary assessment for the first time: | ||
| each summative assessment can be retaken or improved | ||
| Is the retaking-improving of a summary assessment allowed, and if so, than which form: | ||
| retake or grade-improving exam possible for each assesment separately | ||
| Taking into account the previous result in case of improvement, retaken-improvement: | ||
| new result overrides previous result | ||
| The way of retaking or improving a partial assessment for the first time: | ||
| partial assesment(s) in this group cannot be improved or repeated, the final result is assessed in accordance with Code of Studied 122. § (6) | ||
| Completion of unfinished laboratory exercises: | ||
| missed laboratory practices may be performed in the teaching term at pre-arranged appointment, non-mandatory | ||
| Repetition of laboratory exercises that performed incorrectly (eg.: mistake in documentation) | ||
| incorrectly performed laboratory practice (e.g. Incomplete/incorrect report) can be corrected by repeating the practice | ||
Study work required to complete the course
| Activity | hours / semester |
|---|---|
| participation in contact classes | 28 |
| preparation for laboratory practices | 14 |
| preparation for summary assessments | 32 |
| elaboration of a partial assessment task | 4 |
| additional time required to complete the subject | 8 |
| altogether | 86 |
Validity of subject requirements
| Start of validity: | 2021. July 1. |
| End of validity: | 2026. June 30. |
Primary course
The primary (main) course of the subject in which it is advertised and to which the competencies are related:
Common on all MSc programmes
Link to the purpose and (special) compensations of the Regulation KKK
This course aims to improve the following competencies defined in the Regulation KKK:
Knowledge
- Student has the knowledge of the general and specific characteristics, boundaries and main developments of the field, its links with related disciplines.
- Student has the detailed knowledge of the context, theories and terminology of the field.
- Student has a detailed knowledge of legal regulations and ethical standards relevant to the field of specialisation.
Ability
- Student carries out a detailed analysis of the various concepts that make up the knowledge base of the field, synthesising and synthesising the broad and specific contexts and making an appropriate assessment of them.
- Student identifies specific professional problems using a multifaceted, interdisciplinary approach, and explores and formulates the detailed theoretical and practical background needed to solve them.
- Student has a high level of knowledge transfer skills in the field, and is able to use and process publication sources in Hungarian and foreign languages, and has effective information research and processing skills in the field.
Attitude
- Student takes decisions in new, complex and strategic decision-making situations and in unexpected situations, taking full account of legal and ethical standards.
- Student strives to put the latest developments in student's field at the service of student's own development.
- Student understands and represents the active citizenship and literacy elements that define the key issues in their field.
Independence and responsibility
- Student demonstrates a high degree of autonomy in thinking through and developing broad and specific professional issues on the basis of given resources.
- Student is involved in research and development projects, mobilises student's theoretical and practical knowledge and skills in a project team in an autonomous way, in cooperation with the other members of the team, in order to achieve the objective.
- Student independently applies a wide range of methods and techniques in practice in contexts of varying complexity and predictability.
Prerequisites for completing the course
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Knowledge type competencies
(a set of prior knowledge, the existence of which is not obligatory, but greatly facilitates the successful completion of the subject) |
none |
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Ability type competencies
(a set of prior abilities and skills, the existence of which is not obligatory, but greatly contributes to the successful completion of the subject) |
none |