| Course Unit Code | 345-0530/09 |
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| Number of ECTS Credits Allocated | 4 ECTS credits |
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| Type of Course Unit * | Choice-compulsory |
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| Level of Course Unit * | Second Cycle |
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| Year of Study * | |
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| Semester when the Course Unit is delivered | Summer Semester |
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| Mode of Delivery | Face-to-face |
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| Language of Instruction | English |
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| Prerequisites and Co-Requisites | Course succeeds to compulsory courses of previous semester |
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| Name of Lecturer(s) | Personal ID | Name |
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| KOZ323 | Ing. Jindřich Kozák, Ph.D. |
| Summary |
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| The course focuses on acquiring knowledge, skills, and competencies in the field of computational methods used in welding and their practical applications. Students will become familiar with methods for calculating preheating temperatures in welding, assessing susceptibility to crack formation during and after welding, and defining individual weld zones and their structural phases. Emphasis is placed on the application of the finite element method (FEM) in analyzing temperature fields in welded joints and in determining deformations and stresses in structures arising during the welding process. The course also covers the application of computational methods in the control of welding power sources, particularly pulsed, synergic, and inverter systems, as well as continuous data recording during the welding process, including subsequent evaluation and data processing. |
| Learning Outcomes of the Course Unit |
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The graduate will acquire the knowledge, skills and competences in the field of computational methods in the fields of welding and their use.
The aim of the study is to obtain knowledge of numerical methods in welding in the areas of:
-calculations preheating in welding
-calculations on the vulnerability in the cracks and after welding
-calculations when you define each area of the weld and their structural phases
-calculations using finite element methods (FEM) for the monitoring of temperature fields in the fields of welded joints
-calculations using finite element methods (FEM) for the determination of deflection and stress in welding in building construction
The second group is the management of the application of computing methods of welding sources, in particular in the areas of pulse, synergy and inverter resources.
A third group of application of computing methods in welding is a continuous record of data in the process of welding, their subsequent evaluation and processing. |
| Course Contents |
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1. The numerical method used for calculating-in welding
2. The calculation of predisposition on the cracks in the welding and the
3. The calculation when you define each area of the weld and their structural phases
4. The calculation using the finite element methods (FEM) for the monitoring of temperature fields in the fields of welded joints
5. The calculation using the finite element methods (FEM) for the determination of deflection and strain in structures in welding.
6. Processor control pulse welding resources
7. Processor control synergy welding resources
8. Processor control inverter welding resources
9. Methods of continuous sensing data during welding, the recording and processing |
| Recommended or Required Reading |
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| Required Reading: |
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1. Preheating and Post-Weld Heat Treatment. 2022. ESAB University [online]. 21 March 2022 [cit. 2026-03-01]. Available at: https://esab.com/cz/eur_cs/esab-university/articles/preheating-and-post-weld-heat-treatments/
2. Monitoring of the Welding Process. [online]. [cit. 2026-03-01]. Available at: http://staryweb.ivohlavaty.cz/2009Svarovani/5-05.pdf
3. KAHNAMOUEI, Jalal Taheri and MOALLEM, Mehrdad. 2024. Advancements in control systems and integration of artificial intelligence in welding robots: A review. Ocean Engineering [online]. 312(8), 119294 [cit. 2026-03-01]. Available at: https://www.researchgate.net/publication/384569453_Advancements_in_control_systems_and_integration_of_artificial_intelligence_in_welding_robots_A_review
4. CUI, S., ZHOU, X., ZHANG, B., HAN, L., XUE, B. and LIU, F. 2025. Research on an online intelligent monitoring system for resistance spot welding based on wireless communication. Sensors [online]. 25(9) [cit. 2026-03-01]. Available at: https://www.mdpi.com/1424-8220/25/9/2658
5. LEBAR, A., et al. 2012. Online monitoring, analysis and remote recording of welding parameters to the welding diary. Strojniški vestnik – Journal of Mechanical Engineering [online]. 58(7–8), 444–452 [cit. 2026-03-01]. Available at: https://www.sv-jme.eu/?id=2935&ns_articles_pdf=%2Fns_articles%2Ffiles%2Fojs%2F341%2Fpublic%2F341-2077-1-PB.pdf |
1. Předehřev a tepelné zpracování po svaření. 2022. ESAB University [online]. 21. 03. 2022 [cit. 2026-03-01]. Dostupné z: https://esab.com/cz/eur_cs/esab-university/articles/preheating-and-post-weld-heat-treatments/
2. Monitoring procesu svařování (Monitoring of welding process). [online]. [cit. 2026-03-01]. Dostupné z: http://staryweb.ivohlavaty.cz/2009Svarovani/5-05.pdf
3. KAHNAMOUEI, Jalal Taheri a MOALLEM, Mehrdad. 2024. Advancements in control systems and integration of artificial intelligence in welding robots: A review. Ocean Engineering [online]. 312(8), 119294 [cit. 2026-03-01]. Dostupné z: https://www.researchgate.net/publication/384569453_Advancements_in_control_systems_and_integration_of_artificial_intelligence_in_welding_robots_A_review
4. CUI, S., ZHOU, X., ZHANG, B., HAN, L., XUE, B. a LIU, F. 2025. Research on an online intelligent monitoring system for resistance spot welding based on wireless communication. Sensors [online]. 25(9) [cit. 2026-03-01]. Dostupné z: https://www.mdpi.com/1424-8220/25/9/2658
5. LEBAR, A., et al. 2012. Online monitoring, analysis and remote recording of welding parameters to the welding diary. Strojniški vestnik – Journal of Mechanical Engineering [online]. 58(7-8), 444–452 [cit. 2026-03-01]. Dostupné z: https://www.sv-jme.eu/?id=2935&ns_articles_pdf=%2Fns_articles%2Ffiles%2Fojs%2F341%2Fpublic%2F341-2077-1-PB.pdf |
| Recommended Reading: |
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1. HRIVŇÁK, J. 1989. Theory of Weldability of Metals and Alloys. Bratislava: VEDA. ISBN-10: 80-224-0016-5.
2. KUNCIPÁL, J. et al. 1986. Theory of Welding. Prague: SNTL: 04-211-86.
3. CHEN, L. et al. 2024. An optimization method for multi-robot automatic welding control based on particle swarm genetic algorithm. Machines [online]. 12(11), 763 [cit. 2026-03-01]. Available at: https://doi.org/10.3390/machines12110763
4. Computer Technology in Welding. [online]. U.S. Dept. of Commerce / National Technical Information Service [cit. 2026-03-01]. Available at: https://www.govinfo.gov/content/pkg/GOVPUB-C13-42e8ad085e0bf4a79b8492f1450eeaf9/pdf/GOVPUB-C13-42e8ad085e0bf4a79b8492f1450eeaf9.pdf |
1. HRIVŇÁK, J. 1989. Teória zvaritelnosti kovov a zlatin. Bratislava: VEDA. ISBN-10: 80-224-0016-5.
2. KUNCIPÁL, J. a kol. 1986. Teorie svařování. Praha: SNTL: 04-211-86.
3. CHEN, L. et al. 2024. An optimization method for multi-robot automatic welding control based on particle swarm genetic algorithm. Machines [online]. 12(11), 763 [cit. 2026-03-01]. Dostupné z: https://doi.org/10.3390/machines12110763
4. Computer Technology in Welding. [online]. U.S. Dept. of Commerce / National Technical Information Service [cit. 2026-03-01]. Dostupné z: https://www.govinfo.gov/content/pkg/GOVPUB-C13-42e8ad085e0bf4a79b8492f1450eeaf9/pdf/GOVPUB-C13-42e8ad085e0bf4a79b8492f1450eeaf9.pdf |
| Planned learning activities and teaching methods |
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| Lectures, Individual consultations, Tutorials, Project work, Teaching by an expert (lecture or tutorial) |
| Assesment methods and criteria |
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| Tasks are not Defined |