journal article·2024-08-17

Multi-field coupling numerical simulation and experimental research of submerged arc surfacing process on the descaling rolls with different wall thickness

Chang Li, Yunpeng Liu, Fenghua Luo, Xing Han, Lei Feng

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Abstract

Iron and steel industry descale rolls long-term high-pressure water erosion, high temperature, easy to wear, corrosion failure and other problems, the continuous production of steel rolling impact, descale rolls base wall thickness is the main cause of cracking of the surfacing gradient lap organization. This article combines numerical simulation and experimental testing, the use of CALPHAD method to calculate the surfacing material temperature change physical parameters, based on the double ellipsoid heat source model, the establishment of the descale roller submerged arc surfacing process of multi-field coupling three-dimensional numerical model, calculations and reveal the descale roller submerged arc surfacing process of the temperature field, the stress field, the phase change field and the flow field of the transient evolution of the law, and further analyze the descale roller wall thickness of the surfacing process of the influence of the mechanism. Calculation results show that the depth of melting of the surfacing matrix is positively correlated with the width of the double ellipsoid heat source, and the larger the wall thickness, the faster the cooling rate, the greater the formation of residual stress. The austenite and martensite phase transformation of the overlay welding process is greatly influenced by the wall thickness. At the same time, SEM, EDS, XRD material science microcharacterization experiments were carried out to observe the micro-morphology, phase and elemental composition of the cladding layer. This study lays an important theoretical foundation for optimizing the submerged arc surfacing process of descale roller.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Welding Techniques and Residual Stresses · Metal Alloys Wear and Properties · Additive Manufacturing Materials and Processes

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

College of Mechanical Engineering and Automation, University of Science and Technology Liaoning, Anshan, PR China

State Key Laboratory of Powder Metallurgy, Central South University, Changsha, PR China

References (28)

Show source-provided references
1. 10.1051/metal/201709510.1051/metal/2017095 ↗
2. 10.3390/met1001007510.3390/met10010075 ↗
3. 10.1016/j.ijpvp.2006.07.01110.1016/j.ijpvp.2006.07.011 ↗
4. 10.1016/j.ijheatmasstransfer.2015.04.02010.1016/j.ijheatmasstransfer.2015.04.020 ↗
5. 10.1007/s11665-016-2323-x10.1007/s11665-016-2323-x ↗
6. 10.3390/met1104056810.3390/met11040568 ↗
7. 10.1016/j.matdes.2010.01.02510.1016/j.matdes.2010.01.025 ↗
8. 10.1007/s00521-019-04404-510.1007/s00521-019-04404-5 ↗
9. 10.1016/j.engfracmech.2018.02.01610.1016/j.engfracmech.2018.02.016 ↗
10. 10.1007/s12666-018-1495-510.1007/s12666-018-1495-5 ↗
11. 10.1016/j.ceramint.2019.12.03810.1016/j.ceramint.2019.12.038 ↗
12. 10.1016/j.ijheatmasstransfer.2018.01.05910.1016/j.ijheatmasstransfer.2018.01.059 ↗
13. 10.1016/j.jajp.2020.10001910.1016/j.jajp.2020.100019 ↗
14. 10.1016/j.ijheatmasstransfer.2021.12106210.1016/j.ijheatmasstransfer.2021.121062 ↗
15. 10.1142/S021798491950405010.1142/S0217984919504050 ↗
16. 10.1016/j.addma.2020.10174710.1016/j.addma.2020.101747 ↗
17. 10.1016/j.jcsr.2021.10682710.1016/j.jcsr.2021.106827 ↗
18. Li C, Jia T, Han X, et al. Study on parameter optimization of laser cladding Fe60 based on GA-BP neural network. J Adhes Sci Technol. 2022;37:1–31.
19. Mišo BB, Branko SR, Kolarik L, et al. Multi-objective calibration of the double-ellipsoid heat source model for gmaw process simulation. Thermal Sci. 2022;26(3A):2081–2092.
20. 10.1007/BF0266733310.1007/BF02667333 ↗
21. 10.1016/j.surfcoat.2022.12843210.1016/j.surfcoat.2022.128432 ↗
22. 10.1016/j.msea.2012.06.08410.1016/j.msea.2012.06.084 ↗
23. 10.1007/s00170-015-7541-010.1007/s00170-015-7541-0 ↗
24. 10.20964/2019.10.4210.20964/2019.10.42 ↗
25. 10.1016/j.matlet.2020.12803110.1016/j.matlet.2020.128031 ↗
26. 10.1007/s42243-020-00512-y10.1007/s42243-020-00512-y ↗
27. 10.1016/j.msea.2021.14219110.1016/j.msea.2021.142191 ↗
28. 10.1007/s11669-019-00732-010.1007/s11669-019-00732-0 ↗