354-0906/03 – Theory and Design Methodology in Mechatronics (TaMKM)

Gurantor departmentDepartment of RoboticsCredits10
Subject guarantorprof. Ing. Zdenko Bobovský, PhD.Subject version guarantorprof. Ing. Zdenko Bobovský, PhD.
Study levelpostgraduateRequirementChoice-compulsory type B
YearSemesterwinter + summer
Study languageEnglish
Year of introduction2013/2014Year of cancellation
Intended for the facultiesFS, HGFIntended for study typesDoctoral
Instruction secured by
LoginNameTuitorTeacher giving lectures
BOB0001 prof. Ing. Zdenko Bobovský, PhD.
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Examination 25+0
Part-time Examination 25+0

Subject aims expressed by acquired skills and competences

The goal is to master the principles of design methodology so that the student is able to apply them, based on an analysis of the problem. With the acquired knowledge to apply specific methods of technical creative work towards the design of new or innovative technical (mechatronic) systems.

Teaching methods

Individual consultations
Project work

Summary

The aim of the course "Design Methodology in Mechatronics" is to introduce with a systems approach to the design of machines and equipment in general and the concept specifics in the area of ​​robotics and mechatronics. The present body of knowledge about designing a rational basis for teaching practical and creative work of engineers, especially engineers, with an emphasis on solving technical problems in general. Subject areas include: construction activities such as creative problem solving, design process and its stages, transformation, technical processes, technical systems, creative thinking, the emergence of blocks, the science of design (designing met.) base. concepts and approaches, value analysis (value engineering) methods, Solutions Innovation theory of technical systems, discrepancies in technology, TRIZ principles, ARIZ, SW - TechOptimizer and practice its use, solution innovation support Computers - Invention Machine.

Compulsory literature:

[1] RANTANEN, Kelive; CONLEY, David W. a DOMB, Ellen R. Simplified TRIZ. 1. Taylor & Francis, 2021. ISBN 9781032096339. [2] Petrov, Vladimir. TRIZ. Theory of Inventive Problem Solving. 1. Springer Nature Switzerland, 2019. ISBN 9783030042530. [3] KOZIOLEK, Sebastian. Advances and Impacts of the Theory of Inventive Problem Solving: The Triz Methodology, Tools and Case Studies. 1. Springer Nature, Springer Nature, 2018, ISBN 9783319965314. [4] Gadd,K. TRIZ for Engineers: Enabling Inventive Problem Solving, First Edition, UK: Wiley, 2011, ISBN 978-0-470-74188-7.

Recommended literature:

[1] VERMA, Jyoti. Matlab Simulation Fundamental: Simulation Model. 1. Independently Published, 2020. ISBN 9798609980045. [2] BUŠOV, B.; DOSTÁL, V. Innovation of Pressing with TRIZ Methodology. In 12th International Conference on Mechatronics. Procedia CIRP. 2018. s. 11-18. ISBN: 978-3-319-65960-2. ISSN: 2212-8271. [3] BUŠOV, B.; BARTLOVÁ, M.; BRÜSTLOVÁ, J.; DOBIS, P. APPLICATION OF TRIZ METHODOLOGY IN INNOVATION OF PRESSING. In Proceedings of the 9th International Conference Physics Teaching in Engineering Education. Žilina, Slovakia: University of Žilina, Slovakia, 2017. s. 61-69. ISBN: 978-80-554-1322-8. [4] EDER, E. W., HOSNEDL, S. Design Engineering (A Maual for Enhanced Creativity). 1. vyd. London: CRC Press, 2007. 587 s. ISBN 1-4200-4765-5. Goldfire Innovator 4.0, User Guide, Invention Machine Corporation, Boston, 2013

Way of continuous check of knowledge in the course of semester

The project - thesis in relation to the application of knowledge on the issues of the dissertation.

E-learning

Other requirements

Feasibility study task in relation to the issue of the dissertation.

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

1. Basic principles and practices of design methodology . 2. Creative methods of solving technical problems - psychological methods. Patterns of development of technical systems. Discrepancies in inventive tasks. Principles elimination of technical contradictions , solving physical contradictions transformations. 3. Functionally cost analysis (FNA ) - Computer Aided TechOptimizer: components, structure, functions, parameters, diagnosis, proper selection and award the formulation of a task. Component analysis and structure analysis function, and parameters. 4. Improving by limiting the number of elements (cost reduction) and the development of additional functions (increasing the number and degree of fulfillment of functions) improving object ( product or process). The formulation of innovative and award task: contradiction , model , needed. 5. Synthesis of technical systems ( created innovative solution algorithm assignment - ARIZ ) . Overcoming the technical contradictions heuristic procedures. Invention Machine - tool for promoting synthesis of technical systems. 6. Overcoming physical contradictions standard procedures. Solving the model problem ties transformations of substances and fields . 7. Solution features selected effects of natural sciences. Internet and his assistant use the phase problem analysis , solution synthesis and verification options. 8. Mechatronic systems and their characteristics in terms of design methods. Use TechOptimizer and Invention Machine in the analysis and design. Transforming Innovation enter into CAD system. Comprehensive line computer promoting innovative technologies. 9. Proper designing of various aspects - Design for " X" ( DFA , DFM , DFQ ...)

Conditions for subject completion

Full-time form (validity from: 2013/2014 Winter semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of pointsMax. počet pokusů
Examination Examination   3
Mandatory attendence participation:

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Conditions for subject completion and attendance at the exercises within ISP:

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Occurrence in study plans

Academic yearProgrammeBranch/spec.Spec.ZaměřeníFormStudy language Tut. centreYearWSType of duty
2024/2025 (P2346) Mechanical Engineering (2301V001) Transport and Material Handling P English Ostrava Choice-compulsory study plan
2024/2025 (P2346) Mechanical Engineering (2301V013) Robotics P English Ostrava Choice-compulsory study plan
2024/2025 (P0714D270004) Robotics P English Ostrava Choice-compulsory type B study plan
2024/2025 (P0714D270004) Robotics K English Ostrava Choice-compulsory type B study plan
2024/2025 (P0716D270002) Unmanned Systems P English Ostrava Choice-compulsory type B study plan
2023/2024 (P0714D270004) Robotics K English Ostrava Choice-compulsory type B study plan
2023/2024 (P0714D270004) Robotics P English Ostrava Choice-compulsory type B study plan
2023/2024 (P2346) Mechanical Engineering (2301V001) Transport and Material Handling P English Ostrava Choice-compulsory study plan
2023/2024 (P2346) Mechanical Engineering (2301V013) Robotics P English Ostrava Choice-compulsory study plan
2022/2023 (P0714D270004) Robotics K English Ostrava Choice-compulsory type B study plan
2022/2023 (P0714D270004) Robotics P English Ostrava Choice-compulsory type B study plan
2022/2023 (P2346) Mechanical Engineering (2301V001) Transport and Material Handling P English Ostrava Choice-compulsory study plan
2022/2023 (P2346) Mechanical Engineering (2301V013) Robotics P English Ostrava Choice-compulsory study plan
2021/2022 (P0714D270004) Robotics K English Ostrava Choice-compulsory type B study plan
2021/2022 (P0714D270004) Robotics P English Ostrava Choice-compulsory type B study plan
2021/2022 (P2346) Mechanical Engineering (2301V001) Transport and Material Handling P English Ostrava Choice-compulsory study plan
2021/2022 (P2346) Mechanical Engineering (2301V013) Robotics P English Ostrava Choice-compulsory study plan
2020/2021 (P2346) Mechanical Engineering (2301V001) Transport and Material Handling P English Ostrava Choice-compulsory study plan
2020/2021 (P2346) Mechanical Engineering (2301V013) Robotics P English Ostrava Choice-compulsory study plan
2020/2021 (P0714D270004) Robotics P English Ostrava Choice-compulsory type B study plan
2020/2021 (P0714D270004) Robotics K English Ostrava Choice-compulsory type B study plan
2019/2020 (P2346) Mechanical Engineering (2301V001) Transport and Material Handling P English Ostrava Choice-compulsory study plan
2019/2020 (P2346) Mechanical Engineering (2301V013) Robotics P English Ostrava Choice-compulsory study plan
2018/2019 (P2346) Mechanical Engineering (2301V001) Transport and Material Handling P English Ostrava Choice-compulsory study plan
2018/2019 (P2346) Mechanical Engineering (2301V001) Transport and Material Handling K English Ostrava Choice-compulsory study plan
2018/2019 (P2346) Mechanical Engineering (2301V013) Robotics P English Ostrava Choice-compulsory study plan
2018/2019 (P2346) Mechanical Engineering (2301V013) Robotics K English Ostrava Choice-compulsory study plan
2017/2018 (P2346) Mechanical Engineering (2301V001) Transport and Material Handling P English Ostrava Choice-compulsory study plan
2017/2018 (P2346) Mechanical Engineering (2301V013) Robotics P English Ostrava Choice-compulsory study plan
2017/2018 (P2346) Mechanical Engineering (2301V001) Transport and Material Handling K English Ostrava Choice-compulsory study plan
2017/2018 (P2346) Mechanical Engineering (2301V013) Robotics K English Ostrava Choice-compulsory study plan
2016/2017 (P2346) Mechanical Engineering (2301V001) Transport and Material Handling P English Ostrava Choice-compulsory study plan
2016/2017 (P2346) Mechanical Engineering (2301V001) Transport and Material Handling K English Ostrava Choice-compulsory study plan
2016/2017 (P2346) Mechanical Engineering (2301V013) Robotics P English Ostrava Choice-compulsory study plan
2016/2017 (P2346) Mechanical Engineering (2301V013) Robotics K English Ostrava Choice-compulsory study plan
2015/2016 (P2346) Mechanical Engineering (2301V013) Robotics P English Ostrava Choice-compulsory study plan
2015/2016 (P2346) Mechanical Engineering (2301V013) Robotics K English Ostrava Choice-compulsory study plan
2015/2016 (P2346) Mechanical Engineering (2301V001) Transport and Material Handling P English Ostrava Choice-compulsory study plan
2015/2016 (P2346) Mechanical Engineering (2301V001) Transport and Material Handling K English Ostrava Choice-compulsory study plan

Occurrence in special blocks

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