2021
DOI: 10.3390/coatings11091132
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Mathematical Simulation and Experimental Verification of Carburizing Quenching Process Based on Multi-Field Coupling

Abstract: Based on the multi-field coupling effect of temperature, diffusion, and phase change, the finite element model of carburizing and quenching was established. The 20CrMnTiH steel helical gear as the research object, prediction accuracy of carburizing, and quenching model of complex helical gear was studied. The material properties database of experimental steel was established by JMatPro, and the material thermophysical parameters needed in the calculation process were obtained. The carburizing and quenching pro… Show more

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Cited by 6 publications
(5 citation statements)
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“…The distortion after carburizing and quenching is an important component of a quality check. If the amount of transformation is too large, it will lead to gear transmission unstable and produce a large noise level, which can affect the assembly of the transmission [12]. Figure 11a is a 20-fold magnification of the final state deformation of the C-ring after carburizing and quenching.…”
Section: Distortion and Displacement Distributionmentioning
confidence: 99%
See 1 more Smart Citation
“…The distortion after carburizing and quenching is an important component of a quality check. If the amount of transformation is too large, it will lead to gear transmission unstable and produce a large noise level, which can affect the assembly of the transmission [12]. Figure 11a is a 20-fold magnification of the final state deformation of the C-ring after carburizing and quenching.…”
Section: Distortion and Displacement Distributionmentioning
confidence: 99%
“…However, there are many problems in the simulation of material parameters at present, such as inconsistent data grades, imperfect material data, or even no data. Among them, the K-M formula is often used for the calculation model of martensite transformation [11,12], and the parameter α in the formula is generally selected as 0.011, which is obviously not rigorous enough. The error of martensite transition temperature calculated by the empirical formula is large.…”
Section: Introductionmentioning
confidence: 99%
“…These contributions have helped other authors ensure that the data obtained from mathematical simulations can be used to further predict the microstructure that can be obtained in the workpieces when subjected to cooling [19]. Wang et al [20] carried out a finite element model of carburizing and quenching in helical gear made of 20CrMnTiH steel; in this model, the mutual coupling between the phase transformation field, stress-strain field, and temperature field were considered. This coupling effect was based on the metal-thermal-mechanics theory of continuous thermodynamics.…”
Section: Introductionmentioning
confidence: 99%
“…They also used an artificial neural network that predicted the hardening depth to be 1.58 mm, which was almost a 9% difference between the measurement and the simulation. Wang et al [26] focused on 20CrMnTiH bevel gear. The carbon potential was changed during the carburizing process which was followed by the simulation.…”
Section: Introductionmentioning
confidence: 99%