Development of an Approach to Forcast the Defect Formation in the End of a Weld Joint Based on the Modeling of Heat Processes
Source abstract
Abstract
Abstract—The article covers the challenges of forecasting the appearance of a defective zone at the end of a weld joint and determining its size based on the simulation results. The research has been carried out to determine the influence of the heat reflection from the edges on basic characteristics of the joint (geometric dimensions of the weld, mechanical properties of the joint). A mathematical model of heat distribution is presented with regard to the influence of workpiece edges and based on it the regression equations are established to determine the dimensions change of the weld, which made it possible to forecast the dimensions of the defective zone. An algorithm for selecting welding modes, taking into account the influence of heat reflection, based on a mathematical model, is presented, and its practical implementation is examined.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Welding Techniques and Residual Stresses · Microstructure and Mechanical Properties of Steels · Engineering and Environmental Studies
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (8)
Show source-provided references
1. Potapov, A.I., Syasko, V.A., Koroteev, M.Y., and Solomenchuk, P.V., A finite-element modeling of a probe of eddy-current quality testing of soldered joints in turbogenerator windings, Russ. J. Nondestr. Test., 2014, vol. 50, no. 5, pp. 264–273. https://doi.org/10.1134/S106183091405006410.1134/S1061830914050064 ↗
2. Osipov, S.P., Chakhlov, S.V., and Kairalapov, D.U., Numerical modeling of radiographic images as the basis for correctly designing digital radiography systems of large-sized objects, Russ. J. Nondestr. Test., 2019, vol. 55, no. 2, pp. 136–149. https://doi.org/10.1134/S106183091902005010.1134/S1061830919020050 ↗
3. Miettinen, J., Calculation of solidification related thermophysical properties of for steels, Metall. Mater. Trans., 1997, no. 28B, pp. 281—297.10.1007/s11663-997-0095-2 ↗
4. Bazulin, E.G., Konovalov, D.A., and Sadykov, M.S., Method of finite differences in time domain. calculating echo signals in anisotropic inhomogeneous materials, pattern noise, Russ. J. Nondestr. Test., 2018, vol. 54, no. 8, pp. 539—545. https://doi.org/10.1134/S106183091808002810.1134/S1061830918080028 ↗
5. Bazulin, E.G., Konovalov, D.A., and Sadykov, M.S., Finite-difference time domain method. Calculating echo signals in homogeneous isotropic materials, Russ. J. Nondestr. Test., 2018, vol. 54, no. 7, pp. 469–478. https://doi.org/10.1134/S106183091807002110.1134/S1061830918070021 ↗
6. Chulkov, A.O., Vavilov, V.P., and Moskovchenko, A.I., Active thermal testing of delaminations in heat-shielding structures, Russ. J. Nondestr. Test., 2019, vol. 55, no. 3, pp. 240–247. https://doi.org/10.1134/S106183091903003310.1134/S1061830919030033 ↗
7. Sholokhov, M.A., Mel’nikov, A.Yu., and Buzorina, D.S., Studying the influence of reflected thermal flux on changes in the characteristics of the end part of a welded joint, Svarka Diagn., 2018, no. 5, pp. 30–37.
8. Sholokhov, M.A., Mel’nikov, A.Yu., and Buzorina, D.S., Refining the calculation of processes of heat propagation under conditions of product boundary, Svarka Diagn., 2018, no. 6, pp. 33–39.