Effect of laser powers on the mechanical properties 27SiMn steel with Inconel 718 cladding coatings

Shu, Lichun; Heng, Zhao; Li, Peiyou; Wu, Han; Li, Jiahao; Feng, Junjun

doi:10.1088/2053-1591/ac8f21

Cited by 9 publications

(3 citation statements)

References 30 publications

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“…The material selected for deposition in this study was Inconel 718 spherical powder, prepared by the gas atomization method, with particle sizes ranging from 15 μm to 53 μm. Due to its high stability, creep resistance, strength, and fatigue lifetime is widely used in critical high-temperature components, such as aerospace engine turbines and structural parts in the nuclear power industry [27], [28]. The material used for both the substrate and the deposition layer in the simulations and experiments of this study was Inconel 718 alloy.…”

Section: A Materialsmentioning

confidence: 99%

Residual Stress and Distortion Prediction for Laser Directed Energy Deposition Based on Cyclic Heat Transfer Model

Chai,

Li,

Miao

et al. 2024

IEEE Access

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Predicting the residual stress and distortion caused by inhomogeneous temperature fields in the laser directed energy deposition (LDED) process is a challenging task. This study proposes a novel thermodynamic coupling simulation method based on the cyclic heat transfer model to accurately predict temperature, stress, and distortion evolution during the deposition process. The model effectively calculates the layer-by-layer superposition of thermal effects and cyclic accumulation of thermal stress during the deposition process, leading to improved prediction accuracy for temperature, residual stress, and distortion. Initially, the heat source model, the cyclic heat transfer model, and the thermoelastic matrix are established. The thermoelastic constitutive equation and the equilibrium differential equation are formulated to capture the actual process characteristics of the LDED accurately in order to achieve the thermodynamic coupling solution. Then, numerical simulations are performed on a typical model specimen, with simulation parameters consistent with the actual deposition parameters. Finally, the predicted results are validated through actual deposition experiments, and the temperature, stress, and distortion history are analyzed. The results demonstrate that the cyclic thermodynamic coupling model proposed in this study can effectively predict the deposited components' temperature, residual stress, and distortion evolution. This study establishes a crucial foundation for achieving precision and performance control in the deposition process and reducing residual stress and distortion in the components.INDEX TERMS Laser directed energy deposition (LDED), cyclic heat transfer model, thermodynamic coupling, residual stress, distortion.

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Section: A Materialsmentioning

confidence: 99%

Residual Stress and Distortion Prediction for Laser Directed Energy Deposition Based on Cyclic Heat Transfer Model

Chai,

Li,

Miao

et al. 2024

IEEE Access

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“…The laser cladding system used in this test (Figure 2a) was manufactured in China and consisted of an RFL-3000D laser, an ABB control system, a dual-compartment powder-feeding system, a water-cooling system, and synchronized powder feeding with argon as the protective gas. The process parameters selected based on the group's previous experimental research were a laser power of 1800 W, scanning speed of 18 mm/s, powder feeding speed of 1.8 g/min, and defocusing amount of 0 mm [31]. Since the cladding molded parts required for milling were coated in multiple passes, 45% was chosen as the overlap rate on a single-pass basis, and the paths were reciprocating scans.…”

Section: Materials and Equipmentmentioning

confidence: 99%

Optimization of Milling Process Parameters for Fe45 Laser-Clad Molded Parts Based on the Nondominated Sorting Genetic Algorithm II

Zhou,

Shu,

et al. 2024

Coatings

Self Cite

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The milling process parameters of laser-clad molded parts have an essential influence on improving the surface quality of the coating. Generally speaking, optimizing a single property often leads to a reduction in another property. In this paper, we systematically investigated a milling process parameter optimization method for Fe45 laser-clad molded parts, and designed L9 (33) sets of orthogonal experiments by taking the spindle speed, feed rate, and cutting depth as input variables, and taking the milling force and material removal rate as optimization indices. The significance ranking of the milling process was analyzed by using the extreme difference method. Then, the multi-objective optimization of the milling process was realized by using the NSGA-II algorithm with the empirical index model as the objective function. The optimum milling parameters obtained were N = 2000 r/min, V = 120.0266 mm/min, and P = 0.45 mm. Finally, the reliability of the optimization results of the algorithm was proved by comparing and verifying the optimal results obtained from the algorithm with the optimal process obtained from the extreme difference analysis. The results provide a theoretical basis for the selection of milling parameters and parameter optimization of laser fusion-coated Fe45 alloys.

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“…There are different coating deposition methods which can be applied in order to obtain high characteristics of base material to protect it from corrosion, erosion, wear, ensure some specific properties of surfaces [3][4][5][6] or to increase the service life of parts [7]. Among all methods of thermal coating, cold spraying (CS) has a number of advantages [8], namely the absence of high temperatures, oxidation, phase transformations of coating materials and substrates, and it can be successfully used to form protective and restorative coatings on light alloy parts: magnesium [9], aluminum [10] and titanium [11].…”

Section: Introductionmentioning

confidence: 99%

The effect of process temperature and powder composition on microstructure and mechanical characteristics of low-pressure cold spraying aluminum-based coatings

Shorinov

Dolmatov

Polyvianyi

2023

Mater. Res. Express

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The effect of operating gas temperature and powder type on microstructure and mechanical characteristics of cold spraying coatings deposited on EZ33A-T5 magnesium alloy was studied. Three aluminum-based cold spraying powder mixtures Al + Zn, Al + Al2O3 and Al + Zn + Al2O3 were used for the investigation. Deposition was performed using D423 low-pressure cold spray system at operating gas pressure of 1.0 MPa and different temperatures – 300 °C, 450 °C, and 600 °C. The coatings microstructure was investigated with optical and scanning electron microscopy. Mechanical properties of the coatings were characterized through standard test methods for adhesion and cohesion strength, and standard test methods for Vickers hardness of thermal spray coatings. The results demonstrate that with increasing initial gas temperature at spraying nozzle inlet from 300 °C to 600 °C, an increase in the porosity of the coatings of all investigated powder mixtures can be observed. Microstructure characterization showed an increase in porosity from 2.3 % to 4.1 % for Al + Zn powder mixture, from 2.1 % to 3.5 % for Al + Al Al2O3 powder mixture, and from 2.5 % to 5.6 % for Al + Zn + Al2O3 powder mixture. The minimum porosity was obtained at 450 °C for all investigated powder mixtures. Adhesion and cohesion strength and microhardness of coatings were reach their maximum value at 450 °C. The best performance was obtained for Al + Al2O3 powder mixture: coating adhesion – 31.9 MPa (was limited by the bonding strength of the glue), cohesion – 93.5 MPa, microhardness – 81 HV0.15. The influence of Al2O3 particles in the powder mixture on the above-mentioned parameters was also established. The results show that the presence of ceramic particles in powder mixtures can positively affect porosity level and mechanical characteristics.

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Effect of laser powers on the mechanical properties 27SiMn steel with Inconel 718 cladding coatings

Cited by 9 publications

References 30 publications

Residual Stress and Distortion Prediction for Laser Directed Energy Deposition Based on Cyclic Heat Transfer Model

Residual Stress and Distortion Prediction for Laser Directed Energy Deposition Based on Cyclic Heat Transfer Model

Optimization of Milling Process Parameters for Fe45 Laser-Clad Molded Parts Based on the Nondominated Sorting Genetic Algorithm II

The effect of process temperature and powder composition on microstructure and mechanical characteristics of low-pressure cold spraying aluminum-based coatings

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