Skip to main content
Skip header

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 graduate of the course acquires knowledge, skills, and competencies in the field of computational methods used in welding and their practical applications. They are familiar with methods for calculating preheating in welding, are able to assess susceptibility to crack formation during and after welding, and understand procedures for defining weld zones and their structural phases. They master the principles of using the finite element method for the analysis of temperature fields in welded joints and for determining deformations and stresses arising in structures during welding. At the same time, they understand the application of computational methods in the control of welding power sources, particularly pulsed, synergic, and inverter systems, and are familiar with the continuous recording, evaluation, and processing of data during the welding process. The acquired knowledge is applied in the analysis, optimization, and control of welding processes in engineering practice.

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