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Lecturer(s)
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Vyšanská Monika, Ing. Ph.D.
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Course content
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Lectures: 1. Special methods of textile structure analysis - summary of the internal standards. 2. Image, basic types, image capture, image analysis. 3. System of image analysis NIS Elements - basic functions and possibilities of the system. 4. Creation of the microscopic preparation, cross-sections, longitudinal views. 5. Fibers - determination of the geometrical parameters by the image analysis. 6. - 7. Staple yarn and multifilament - surface structure and geometrical parameters by image analysis, models verification (mechanical properties). 8. Staple yarn and multifilament - inner structure by image analysis. 9. Blended yarn - blended ratio and fiber distribution (influence on properties). 10. Blended yarn - mechanical properties - blending theory by W. J. Hamburger. 11. Two-ply yarn - surface structure, geometrical parameters and inner structure by image analysis. 12. Woven fabric - surface structure and geometrical parameters by image analysis. 13. Woven fabric - inner structure by image analysis, yarn deformation in binding point. 14. Knitted fabric - surface stucture, geometrical parameters and inner structure by image analysis. Practices: 1. - 2. Fibers - geometry (longitudinal view and cross-section). 3. - 4. Staple yarn, multifilament - surface structure (identification), yarn diameter, yarn hairiness, slope angle of the surface fibers. 5. - 6. Staple yarn - inner structure - packing density (Secant method, direct method). 7. Blended yarn - inner structure - packing density, radial mass ratio. 8. Blended yarn - mechanical properties - blending theory by W. J. Hamburger. 9. - 10. Two-ply yarn - surface structure, inner structure. 11. Woven fabric - surface structure, geometry. 12. Woven fabric - inner structure. 13. Knitted fabric - surface structure, geometry. 14. Credit - identification of given textile with using of gained knwoledges.
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Learning activities and teaching methods
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Monological explanation (lecture, presentation,briefing), Self-study (text study, reading, problematic tasks, practical tasks, experiments, research, written assignments), Demonstration, Project teaching, Laboratory work
- Preparation for laboratory testing; outcome analysis
- 28 hours per semester
- Presentation preparation (report)
- 10 hours per semester
- Preparation for credit
- 15 hours per semester
- Preparation for exam
- 36 hours per semester
- Class attendance
- 56 hours per semester
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Learning outcomes
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This subject is connected with subject Basic Principles of Textile Structure. During lectures students gain theoretical and practical knowledge about the analyses of the textile structures using functions of image analysis. Models verification by experimental approches, determination of material and technological parameters.
Student gains a summary of measurement of basic parameters of fibrous assemblies using image analysis.
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Prerequisites
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Basic knowledge from subject: Textile technology I and Basic Principles of Textile Structure.
KTT/STR
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Assessment methods and criteria
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Combined examination, Test
Direct teaching: Credit: 100% active participation on practices, submission of all correct protocols, succesfull identification of given textile fabric. Exam: written and oral. Indirect teaching: Credit: submission of all correct protocols. Exam: written and oral on-line.
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Recommended literature
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Laboratory Imaging: manuál NIS-Elements, verze 3.10. 2010.
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Návody na cvičení. Dostupné na https://elearning.tul.cz/..
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Soubor českých přednášek na https://elearning.tul.cz/.
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HÄDER, Donat-Peter, ed. Image analysis: methods and applications. 2nd ed. Boca Raton: CRC Press, 2001. ISBN 0-8493-0239-0.
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Kolektiv autorů. Interní normy. Výzkumné centrum Textil. Fakulta textilní, Technická univerzita v Liberci, 2004.
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Neckář, B. Příze - tvorba, struktura, vlastnosti. Praha: SNTL, 1990. ISBN 80-03-00213-3.
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Russ, J.C., Russ, Ch. Introduction to image processing and analysis. USA: CRC Press, 2008. ISBN 978-0-8493-7073-1.
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Serra, J. Image Analysis and Mathematical Morphology. Academic Press, London, 1983. ISBN 978-0126372403.
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Šonka, M., Hlaváč, V., Boyle, R.:. Image processing, analysis, and machine vision. 3rd ed.. Toronto: Thomson Learning, 2008. ISBN 978-0-495-08252-1.
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