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
Terminated in academic year 2007/2008
Numerical Methods in Welding
| Type of study | Follow-up Master |
|---|---|
| Language of instruction | Czech |
| Code | 345-0530/01 |
| Abbreviation | VMS |
| Course title | Numerical Methods in Welding |
| Credits | 4 |
| Coordinating department | Department of Mechanical Technology |
| Course coordinator | prof. Ing. Ivo Hlavatý, Ph.D. |
Course aims
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.
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.
Literature
Advised literature
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
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