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Numerical Methods in Welding

Language of instruction angličtina, čeština
Code 345-0530
Abbreviation VMS
Course title Numerical Methods in Welding
Coordinating department Department of Mechanical Technology
Course coordinator prof. Ing. Ivo Hlavatý, Ph.D.

Anotace

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.

Povinná literatura

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

Doporučená literatura

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