Numerical simulation of the 3D propeller repair process by laser cladding of SUS316L on SUS304

Izumi, Taisei; Arai, Masayuki

doi:10.1016/j.jmapro.2023.04.069

Cited by 9 publications

(3 citation statements)

References 20 publications

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“…The analysis duration was set to 30 s to align with the actual welding experiment time. The natural convection heat transfer coefficient across the entire surface of the welded specimen was specified as 8 W/m 2 • C, with an emissivity value of 0.6 [22]. The SOLID90 element was utilized for the analysis, employing uniform mesh settings.…”

Section: 𝑄 = 𝜂𝑈mentioning

confidence: 99%

Structural Analysis of Thermal Diffusion and Non-Uniform Temperature Distribution along the Sidewall Thickness of STS316L during Gas Tungsten Arc Butt Welding

Na,

Jeong,

Kim

et al. 2024

Processes

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This study investigated how welding affects the thermal deformation of square cells produced for casks, which are dry storage containers for spent nuclear fuel. We aimed to minimize structural deformation by utilizing STS316L as the material for the square cells. We explored a method of subdividing the square cells and joining them through butt welding. Keeping the upper plate thickness constant, GTA butt welding was conducted while varying the column’s wall thickness, followed by measurement with a laser vision sensor. The heat conduction and thermal strain were then calculated using a finite element analysis (FEM). Both experimental and analytical results confirmed that there was significant thermal deformation in the cases of thick-walled columns due to variations in heat conduction distribution, with the resulting deformation patterns depending on thickness.

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Section: 𝑄 = 𝜂𝑈mentioning

confidence: 99%

Structural Analysis of Thermal Diffusion and Non-Uniform Temperature Distribution along the Sidewall Thickness of STS316L during Gas Tungsten Arc Butt Welding

Na,

Jeong,

Kim

et al. 2024

Processes

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“…Given this, constructing a model to predict the cladding quality is the main way to achieve the quality control of high-speed laser cladding coating. Generally, there are three main methods to construct the relationship model between input machining parameters and output machining results: the finite element method, the phenomenology method, and the machine learning method, to investigate the relationship between process parameters and their responses in the laser cladding process [ 10 , 11 ]. The finite element method [ 12 , 13 ] normally constructs models through physical driving to make predictions.…”

Section: Introductionmentioning

confidence: 99%

Prediction Method for High-Speed Laser Cladding Coating Quality Based on Random Forest and AdaBoost Regression Analysis

Xv,

Sun,

Zhang

2024

Materials

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The initial melting quality of a high-speed laser cladding layer has an important impact on its post-treatment and practical application. In this study, based on the repair of hydraulic support columns of coal mining machines, the influence of high-speed laser cladding process parameters on the quality of Fe-Cr-Ni alloy coatings was investigated to realize the accurate prediction of coating quality. The Taguchi orthogonal method was used to design the L25(56) test. The prediction models of the relationship between the cladding process and the coating quality were established using the Random Forest (RF) and AdaBoost (Adaptive Boosting, AB) algorithms, respectively. Then, the prediction accuracy of the two models was compared, and the process parameter features were screened for importance evaluation. The results show that the AB prediction model is more accurate than the RF prediction model and more sensitive to abnormal data. The importance evaluation based on the AdaBoost model shows that the scanning speed has a great influence on the height and surface roughness of the coating. On the other hand, the overlap rate is the most important factor in controlling the dilution ratio and near-surface grain size of high-speed laser melting coatings. In addition, the micro-hardness of the coating and the thermal effect of the substrate can be effectively enhanced by adjusting the laser power and scanning speed. Finally, it was verified that the AB prediction model could accurately estimate the quality indexes of the coating with a prediction error less than 6%. The results show that it is feasible to predict the quality of high-speed laser cladding with the AB algorithm. It provides a basis for the adjustment of process parameters in the subsequent quality control process of cladding.

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“…Laser cladding technology has emerged with the development of laser and surface modification technologies [33][34][35][36][37][38]. By utilizing a laser beam to melt the cladding material and the surface of the base body and allowing it to solidify to form a cladding layer that metallurgically bonds with the base body, it can be used for the surface strengthening of new parts and the remanufacturing and repair of failed parts [39][40][41][42].…”

Section: Introductionmentioning

confidence: 99%

A Review of the Laser Cladding of Metal-Based Alloys, Ceramic-Reinforced Composites, Amorphous Alloys, and High-Entropy Alloys on Aluminum Alloys

Zhao,

Shi,

Wang

et al. 2023

Lubricants

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As one of the lightest structural metals, the application breadth of aluminum alloys is, to some extent, constrained by their relatively low wear resistance and hardness. However, laser cladding technology, with its low dilution rate, compact structure, excellent coating-to-substrate bonding, and environmental advantages, can significantly enhance the surface hardness and wear resistance of aluminum alloys, thus proving to be an effective surface modification strategy. This review focuses on the topic of surface laser cladding materials for aluminum alloys, detailing the application background, process, microstructure, hardness, wear resistance, and corrosion resistance of six types of coatings, namely Al-based, Ni-based, Fe-based, ceramic-based, amorphous glass, and high-entropy alloys. Each coating type’s characteristics are summarized, providing theoretical references for designing and selecting laser cladding coatings for aluminum alloy surfaces. Furthermore, a prediction and outlook for the future development of laser cladding on the surface of aluminum alloys is also presented.

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Numerical simulation of the 3D propeller repair process by laser cladding of SUS316L on SUS304

Cited by 9 publications

References 20 publications

Structural Analysis of Thermal Diffusion and Non-Uniform Temperature Distribution along the Sidewall Thickness of STS316L during Gas Tungsten Arc Butt Welding

Structural Analysis of Thermal Diffusion and Non-Uniform Temperature Distribution along the Sidewall Thickness of STS316L during Gas Tungsten Arc Butt Welding

Prediction Method for High-Speed Laser Cladding Coating Quality Based on Random Forest and AdaBoost Regression Analysis

A Review of the Laser Cladding of Metal-Based Alloys, Ceramic-Reinforced Composites, Amorphous Alloys, and High-Entropy Alloys on Aluminum Alloys

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