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Mathematical modeling and prediction of values of partial indicators of heat-exchange processes at underwater wet welding

https://doi.org/10.22349/1994-6716-2023-116-4-187-192

Abstract

At computer modeling of heat-exchange processes there arises a necessity of parametric forecasting of values of partial indicators of multifactor systems of underwater wet welding. Ensuring the reliability of such a prediction makes it possible to use the obtained models for engineering calculations in the design of technological welding processes. On the example of experimental data on the estimation of gas formation in the process of arc combustion the methodology – approved in shipbuilding production – is proposed. Mathematical dependences providing the minimum error of estimation at changing the values of influencing parameters, are obtained. The formation of gas bubbles significantly affects the heat-exchange processes in underwater welding, which determines the cooling rate of the welded joint and affects the formation of hardening structures.

About the Authors

Kiav Min Soe
St Petersburg State Marine Technical University
Russian Federation

10 St Lotsmanskaya 190121, St Petersburg



V. V. Murzin
St Petersburg State Marine Technical University
Russian Federation

Cand Sc. (Eng)

10 St Lotsmanskaya 190121, St Petersburg



G. V. German
St Petersburg State Marine Technical University
Russian Federation

Dr Sc. (Eng)

10 St Lotsmanskaya 190121, St Petersburg



References

1. Kiav Min Soe, Murzin, V.V., Karpov, V.M., Issledovanie vliyaniya rezhima podvodnoi svarki na gazoobrazovanie [Investigation of the effect of the underwater welding regime on gas formation], Morskie intellektualnye tekhnologii, 2019, V. 2, No 3 (45), pp. 111–115.

2. German, G.V., Chernenko, V.I., Reznik, B.L. Cherkas, D.D., Raschetno-analiticheskie metody i ikh ispolzovanie pri reshenii zadach tekhnologicheskoi podgotovki mashinostroitelnogo i sudostroitelnogo proizvodstv [Computational and analytical methods and their use in solving problems of technological preparation of machine-building and shipbuilding industries]: study guide, St Petersburg: GMTU, 2015.

3. German, G.V., Lyakhovsky, E.E., Reznik, B.L., Snizhenie ustanovochnoi pogreshnosti pri otsenke trudoemkosti proizvodstvennykh protsessov v sudostroenii [Reduction of the installation error in assessing the complexity of production processes in shipbuilding], Morskie intellektualnye tekhnologii, 2023, V. 1, No 2 (66), pp. 337–341.

4. Kiav Min Soe, Murzin, V.V., Razrabotka fizicheskikh modelei dlya rascheta teplovykh polei pri mokroi podvodnoi svarke [Development of physical models for calculating thermal fields in underwater wet welding], Morskie intellektualnye tekhnologii, 2021, V. 1, No 3, pp. 60–64.


Review

For citations:


Soe K.M., Murzin V.V., German G.V. Mathematical modeling and prediction of values of partial indicators of heat-exchange processes at underwater wet welding. Voprosy Materialovedeniya. 2023;(4(116)):187-192. (In Russ.) https://doi.org/10.22349/1994-6716-2023-116-4-187-192

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ISSN 1994-6716 (Print)