Study on the quenching depth and surface hardness of metal materials by laser quenching variable parameters

Ren, Dongdong; Zhang, Pengjun; Yu, Jiahui; Yang-wu, Yao; Li, Xiaoyang

doi:10.3389/fphy.2022.1115447

Cited by 5 publications

(3 citation statements)

References 15 publications

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“…Laser shock treatment is used to form gradient nanostructures in the surface layer, which is one of the methods of surface intensive plastic deformation under extreme conditions [57,58]. Laser hardening selectively heats the material's surface to enhance its hardness and wear resistance, resulting in smart materials with improved durability and resistance to wear and tear [59][60][61]. Typically, this process enables the transformation of only the near-surface layer, but in the case of thin elements, it is feasible to harden the entire depth of the material [62].…”

Section: Laser Modification For Smart Materialsmentioning

confidence: 99%

Fabrication of Smart Materials Using Laser Processing: Analysis and Prospects

Murzin,

Stiglbrunner

2023

Applied Sciences

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Laser processing is a versatile tool that enhances smart materials for diverse industries, allowing precise changes in material properties and customization of surface characteristics. It drives the development of smart materials with adaptive properties through laser modification, utilizing photothermal reactions and functional additives for meticulous control. These laser-processed smart materials form the foundation of 4D printing that enables dynamic shape changes depending on external influences, with significant potential in the aerospace, robotics, health care, electronics, and automotive sectors, thus fostering innovation. Laser processing also advances photonics and optoelectronics, facilitating precise control over optical properties and promoting responsive device development for various applications. The application of computer-generated diffractive optical elements (DOEs) enhances laser precision, allowing for predetermined temperature distribution and showcasing substantial promise in enhancing smart material properties. This comprehensive overview explores the applications of laser technology and nanotechnology involving DOEs, underscoring their transformative potential in the realms of photonics and optoelectronics. The growing potential for further research and practical applications in this field suggests promising prospects in the near future.

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Section: Laser Modification For Smart Materialsmentioning

confidence: 99%

Fabrication of Smart Materials Using Laser Processing: Analysis and Prospects

Murzin,

Stiglbrunner

2023

Applied Sciences

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“…Improving the surface quality of gears is an effective way to increase their load-bearing capacity. 4 In 2008, McDaniels et al 5 from the United States conducted surface strengthening of AISI4340 alloy steel through laser quenching technology. The study showed that laser quenching affects the fatigue strength of parts and can prevent the formation for surface cracks.…”

Section: Introductionmentioning

confidence: 99%

“…Improving the surface quality of gears is an effective way to increase their load-bearing capacity. 4…”

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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