TECHNOLOGIES
A Deterministic Method for Controlling Out-Of-Plane Distortions by High Power Arc Welding
- 1 FRA-DTI, Framatome GmbH, Germany
- 2 IMSETHAC, Bulgarian Academy of Science, Bulgaria
Abstract
The Cyber-Physical System (CPS) is one of the main concepts associated to the Industry 4.0 framework. The paper aims at analyzing the futures and architecture and technologies of CPS, retracting it in form its general conceptualization, to the interpretation in high relevant problem of welding manufacturing in context of Industry 4.0. The most recent approaches are based on empirical models or AI and rely on experimental data collection. On the other hand, the actuator shell control a certain parameter or parameter set. Under close consideration of the state of the knowledge to the problem of out-of-plane welding distortions, the aspects related to data sensing and actuating process parameters are analysed. However, due to the intensive development of the welding techniques und machines as well as the increasing focus on lightweight design pose a challenge that enters an unstudied parameter domain. To address this problem, a study was carried out using a combination of experimental and numerical methods. Based on the obtained results, the existing analytical expressions are supplemented and put into discussion. Essential findings, as well as the correlations between the occurring out-of-plane distortions and the welding process conditions and parameters are emphasized. Thus, the level of knowledge and the range of application of the existing analytical models are extended. On this basis, the development of highly effective deterministic-driven CPS in the context of Industry 4.0 is advanced.
Keywords
References
- Lee J., Bagheri B., Kao H., A Cyber-Physical Systems architecture for Industry 4 . 0-based manufacturing systems, Manuf. Lett. 3 (2015) 18–23. doi:10.1016/j.mfglet.2014.12.001.
- Jazdi N., Cyber Physical Systems in the Context of Industry 4.0, in: Autom. Qual. Testing, Robot. 2014 IEEE Int. Conf., 2014: pp. 1–4. doi:10.1109/AQTR.2014.6857843.
- Baheti R., Gill H., Cyber-physical Systems, in: T. Samad, A. Annaswamy (Eds.), Impact Control Technol., IEEE Control Systems Society, 2011: pp. 161–166.
- Ashton K., That ’Internet of Things’ Thing, RFiD J. 22 (2009) 97–114
- Negria E., Fumagallia L., Macchi M., A review of the roles of Digital Twin in CPS-based production systems, Proc. FAIM2017, Procedia Manufacturing 11 ( 2017 ) 939 – 948, doi: 10.1016/j.promfg.2017.07.198
- Yang J., Zhang W., Liu Y., Subcycle Fatigue Crack Growth Mechanism Investigation for Aluminum Alloys and Steel (Special Session on the Digital Twin), in: 54th AIAA/ASME/ASCE/AHS/ASC Struct. Struct. Dyn. Mater. Conf., 2013: p. 1499. doi:10.2514/6.2013-1499.
- Lee J., Kao H., Yang S., Service innovation and smart analytics for Industry 4.0 and big data environment, in: Procedia CIRP, Elsevier B.V.,2014: pp. 3–8. doi:10.1016/j.procir.2014.02.001.
- Vinokurov, V.A.: Welding Stresses and Distortion, British Library, Wetherby 1977 (Übersetzung von: Svarochnye deformatii i napryazheniya: methody ikh ustraneniya Mashinostroenie, Moskau, 1968).
- Kuzminov, S. A.: Svarochnie deformazii sudovich korpusnich konstrukzii, Su-dostroenie, Leningrad, 1974.
- Kuzminov, S. A.: Methods for calculating overall welding strains in casing structures. Trudy TsNII sudostroeniya, 1956.
- Guo, H., Zhu, Y., Zhang, Y. et al. A digital twin-based layout optimization method for discrete manufacturing workshop. Int J Adv Manuf Technol 112, 1307–1318 (2021). https://doi.org/10.1007/s00170-020-06568-0
- Stapelfeld, C., Doynov, N. und Michailov, V. Hybride Berechnungsansätze zur Prognostizierung und Minimierung des Verzugs komplexer Schweißkon-struktionen. Sysweld Forum 2009, Weimar, 2009, S. 91 - 105.
- Chakraborty S., Adhikari S., Ganguli R., The role of surrogate models in the development of digital twins of dynamic systems, Applied Mathematical Modelling 90 (2021) 662–681. https://doi.org/10.1016/j.apm.2020.09.037