Analysis of residual stress distribution characteristics of laser surface hardening based on Voronoi model

Han, Xing; Li, Chang; Liu, Zhaotai; Chen, Xinxue; Deng, Shuangjiu

doi:10.1016/j.optlastec.2022.108613

Cited by 4 publications

(3 citation statements)

References 11 publications

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“…Based on the Voronoi approach 19 , a random simulation of polycrystalline structure of the matrix is constructed. Two opposing factors-laser power as well as laser scanning speed-have a significant impact on the average stress distribution in the grains.…”

Section: The Evolution and Transmission Of Residual Stressmentioning

confidence: 99%

A Review on Thermal Modelling of Residual Stresses during Additive Manufacturing

N. Chethan Kumar,

Jhavar

2023

jmmf

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Additive Manufacturing (AM) has received interest since it is simpler to manufacture complicated 3D component without the requirement for casting moulds than convective fabrication. AM has a lot of significance in fields like aerospace, medicine, and more to make parts of any kind of complex shape. Since the finished products are subjected to repeated cycles of heating and cooling, there will always be some residual stresses present in them. During layer-over-layer deposition, the large difference in temperature between the layers causes residual stresses, which hurt the performance of the products. As far as the author’s knowledge, there is no thorough review of the thermal modelling of residual stress in AM. In this review paper, the goal is to first get a good understanding of how residual stresses are developed, and then to look at how different models measure them. So, residual stresses can be seen as a key factor in controlling costs, performance, and quality standards of the finished component. This paper does a thorough review of the field to give engineers and researchers up-to-date information and advice about residual stresses.

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Section: The Evolution and Transmission Of Residual Stressmentioning

confidence: 99%

A Review on Thermal Modelling of Residual Stresses during Additive Manufacturing

N. Chethan Kumar,

Jhavar

2023

jmmf

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“…In the same year, Zhen et al 9 carried out laser quenching experiments on both sides of 40Cr steel gear strips and found that the phenomenon of tempering softening between the two quenched tracks was always unavoidable. In 2021, Han et al 10 did a numerical simulation of the thermal–force coupling during the laser quenching for the SUS301L-HT stainless steel, and studied the effect of grain inhomogeneity on the distribution for quenching stresses. In the same year, Fischer et al 11 established a prediction method of residual stress through multiple experiments and accurately evaluated the surface residual stress.…”

Section: Introductionmentioning

confidence: 99%

Optimization of laser irradiation process parameters for 40Cr steel based on back propagation neural network and genetic algorithm

Chang

Deng

Sun

et al. 2023

Proceedings of the Institution of Mechanical Engineers, Part L:

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40Cr is a significant material in the manufacturing of gears. However, this process is plagued by uneven distribution of quenching layers and excessive residual stress, leading to a decline in the precision of the workpiece, deformation, and cracking. Relying solely on the trial-and-error method in experiments is inadequate for effectively revealing the evolution mechanism of the laser quenching process. This approach is detrimental to improving research and development efficiency. In this study, a multi-field coupled numerical model for the multi-track overlapping laser quenching of the 40Cr gear steel is established. This model quantitatively reveals the coupling evolution laws of the temperature field, stress field, and phase transformation field during the laser quenching. The focus is on calculating the size of the tempering zone under different overlapping rates and conducting correlation analysis between parameters. Based on the artificial neural networks and genetic algorithms, the width and depth of the tempering zone are selected as target values for parameter optimization. The aim is to find the nonlinear relationship between the laser power, spot diameter, scanning speed, laser overlapping rate, and the size of the tempering zone, which can accurately predict the size of the tempering zone. The material microstructure of 40Cr gear steel was characterized by the scanning electron microscope, microhardness tester and friction and wear tester. The results show that the training error and testing error of the output parameters in genetic algorithm optimized back propagation network can accurately predict the size of the tempering zone. It is found that the higher the lap rate, the more uniform the hardness of the phase transformation hardening layer surface, and the tempering softening zone becomes larger. The parts surface is easy to produce defects, which can provide a theoretical basis for optimizing the laser quenching process parameters.

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“…The applicability of the heat source model was proved by simulating four different laser-hardening mechanisms. Han et al [28] established a thermomechanical coupling model for a laser-quenching SUS301L-HT stainless-steel process considering grain heterogeneity. The thermal stress field and temperature field distribution of the single laser surface hardening under different process parameters were obtained.…”

Section: Introductionmentioning

confidence: 99%

Simulation Study on the Influence of a Laser Power Change on the Residual Stress of a Laser-Melting RuT300 Valve Seat

Tan,

Pang

2023

Lubricants

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In order to effectively suppress the cracking induced by the excessive residual stress of a laser-melting RuT300 valve seat, the influence of a laser power change on the residual stress was studied by constructing a finite element simulation model of a new power valve seat. The absorption rate of the laser energy on the surface of the material and the change in thermophysical parameters with temperature were taken into account in the model. The results show that the melting and phase-change-hardening areas can be obtained by the laser-melting process. With the increase in laser power, the peak temperature of the molten pool increased almost linearly. The melting zone area and the phase-change-hardening zone depth increased. When the laser power was increased from 2000 to 2600 W, the peak temperature of the laser-melting RuT300 valve seat increased from 2005.09 to 2641.93 °C, the maximum depth of the melting area increased from 0.55 to 0.86 mm, the maximum width of the melting area increased from 3.42 to 4.21 mm, and the maximum depth of the phase-change-hardening area increased from 0.55 to 0.64 mm. The circumferential residual tensile stress in the melting area was much higher than in the radial and axial directions. Along the laser scanning direction, the residual stress in the melting area increased as a whole, and the residual stress in the laser-scanning finishing area greatly increased. With the increase in laser power, the circumferential residual stress at the previous scanning moment decreased, and at the closing moment of the scan, the circumferential residual stress increased with the increase in laser power.

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Analysis of residual stress distribution characteristics of laser surface hardening based on Voronoi model

Cited by 4 publications

References 11 publications

A Review on Thermal Modelling of Residual Stresses during Additive Manufacturing

A Review on Thermal Modelling of Residual Stresses during Additive Manufacturing

Optimization of laser irradiation process parameters for 40Cr steel based on back propagation neural network and genetic algorithm

Simulation Study on the Influence of a Laser Power Change on the Residual Stress of a Laser-Melting RuT300 Valve Seat

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