345-0530/09 – Numerical Methods in Welding (VMS)
| Gurantor department | Department of Mechanical Technology | Credits | 4 |
| Subject guarantor | prof. Ing. Ivo Hlavatý, Ph.D. | Subject version guarantor | prof. Ing. Ivo Hlavatý, Ph.D. |
| Study level | undergraduate or graduate | | |
| | Study language | English |
| Year of introduction | 2020/2021 | Year of cancellation | |
| Intended for the faculties | FS | Intended for study types | Follow-up Master |
Subject aims expressed by acquired skills and competences
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.
Teaching methods
Lectures
Individual consultations
Tutorials
Project work
Teaching by an expert (lecture or tutorial)
Summary
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.
Compulsory literature:
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
Recommended 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
Additional study materials
Way of continuous check of knowledge in the course of semester
The Seminar Work to a Specified Theme.
E-learning
Other requirements
Active attendance at exercises - at least 80%.
Prerequisities
Subject has no prerequisities.
Co-requisities
Subject has no co-requisities.
Subject syllabus:
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
Conditions for subject completion
Occurrence in study plans
Occurrence in special blocks
Assessment of instruction
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