Numerical Simulation of the Temperature and Stress Fields in Fe-Based Alloy Coatings Produced by Wide-Band Laser Cladding

Shao, Yue; Xu, Peng; Tian, Jiayu

doi:10.1007/s11041-021-00690-w

Cited by 5 publications

(3 citation statements)

References 19 publications

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“…The predicted temperature results showed a high degree of consistency with the actual temperature; Wu et al (2021) used ABAQUS software to establish a composite heat source model and predicted the temperature of the 316 L powder during the cladding process through simulation. The test results showed good agreement with the predicted results; Bhatnagar et al (2021) established an analysis mode based on energy transfer and loss mechanisms to predict the temperature of the molten pool and achieved good predictive results; Shao et al (2021) established 3D temperature and residual stress field models for the process of laser deposition coating using a rectangular laser beam and calculated the temperature evolution during the cladding process; Gao et al (2020) established a singletrack processing prediction model (STPPM) for laser cladding. Using Gaussian heat source, the temperature of the cladding process was predicted based on the birth-death element method, and the prediction error of temperature was about 8.1%.…”

Section: Introductionmentioning

confidence: 79%

Prediction of molten pool temperature in laser solid forming based on PSO-LSTM

Wang

et al. 2023

Front. Mater.

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The temperature of the molten pool in Laser Solid Forming has a direct effect on the dimensional accuracy and mechanical properties of the parts. Accurate prediction of the melt pool temperature is important to ensure the stability of the melt pool temperature and to improve the forming accuracy and quality of the part. In order to accurately predict the melt pool temperature, this study proposes a melt pool temperature prediction method based on particle swarm optimization (PSO) optimised long short-term memory neural network (LSTM). Using IR camera to obtain melt pool temperature data and establish long short-term memory neural network melt pool temperature prediction model based on experimental data. Optimization of the initial learning rate and the number of hidden layer units of the long short-term memory neural network model using the particle swarm optimization algorithm to build a PSO-LSTM model for prediction of melt pool temperature. The results show that the PSO-LSTM prediction model outperforms the long short-term memory neural network and Ridge Regression models in all evaluation indicators and can achieve accurate prediction of melt pool temperature.

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Section: Introductionmentioning

confidence: 79%

Prediction of molten pool temperature in laser solid forming based on PSO-LSTM

Wang

et al. 2023

Front. Mater.

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“…First, a single-layer, single-track laser cladding experiment is carried out, the height and width of the experimental results are measured, and the lap ratio is calculated with equation (1). According to previous investigations [20][21][22], most of the studies on the overlap rate are in the range of 30% to 70%, and our research is based on this range of experiments.…”

Section: Laser Additive Manufacturing Processmentioning

confidence: 99%

Study on overlap rate and machinability of selected laser melting of maraging steel

Yang,

Li,

Liu

et al. 2023

Materials Science-Poland

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In order to investigate the material properties of maraging steel laser additive manufacturing, the cladding layers with different overlap rates on the surface of 18Ni300 were prepared by laser cladding technology, and the morphology, microstructure, and hardness of the cladding layer with different overlap rates were analyzed by various means. The results show that the macroscopic morphology of the cladding layer mainly presents three states under different overlap rates, and the change of overlap rate has no effect on the microstructure in the same area of the cladding layer, but does have an effect on the size of the cladding layer. In the end, the optimum overlap rate is 50%, the surface is smooth, the inner is free from defects, the bonding effect is good, and the metallographic structure is even with high hardness. Milling experiments were carried out on the material after laser additive manufacturing, and the surface morphology was observed, confirming a smooth and well-flattened surface with a roughness of 0.342 μm had been obtained. The suitable overlap rate can make the coating surface smoother, reduce the subsequent processing loss, and improve the production efficiency and powder utilization rate while ensuring the coating quality.

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“…Observing real-time alterations in the molten pool during conventional laser cladding experiments presents a formidable task [17]. Therefore, it is essential to accurately understand the temperature field and gradient distribution during the cladding process [18,19]. Numerical simulations are employed to construct 3D models that replicate the laser cladding procedure under various processing conditions [20].…”

Section: Introductionmentioning

confidence: 99%

Numerical Simulation of Temperature Field during Electron Beam Cladding for NiCrBSi on the Surface of Inconel 718

Zhao,

Zhang,

et al. 2023

Crystals

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This study investigates the Inconel 718 alloy coated with NiCrBSi powder using the ABAQUS software. An accurate conical heat source model is constructed based on the three-dimensional Fourier heat conduction law. The heat source subroutine Dflux.for is successfully integrated to achieve a highly realistic simulation of the welding heat source. Using this model, the analysis focuses on the temperature distribution in electron beam melting. Furthermore, the accuracy and reliability of the simulation are validated through actual coating experiments. By examining the impact of various procedural factors on the temperature distribution, it is found that optimal coating results and a tightly formed elliptical molten zone are attained at an electron beam current of 18 mA, and the scanning speed is 300 mm/min. The peak temperature in the melt pool in the coating area is 5087 K, while the lowest temperature on the isothermal in the heat-affected zone is 1409 K. Over time, there is a swift rise in temperature for the data points taken along both the X and Z trajectories, followed by rapid cooling after rapid heating. Coating experiments conducted under the optimal parameters demonstrate a dense coating layer and good bonding with the substrate, thereby validating the accuracy of the simulation.

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Numerical Simulation of the Temperature and Stress Fields in Fe-Based Alloy Coatings Produced by Wide-Band Laser Cladding

Cited by 5 publications

References 19 publications

Prediction of molten pool temperature in laser solid forming based on PSO-LSTM

Prediction of molten pool temperature in laser solid forming based on PSO-LSTM

Study on overlap rate and machinability of selected laser melting of maraging steel

Numerical Simulation of Temperature Field during Electron Beam Cladding for NiCrBSi on the Surface of Inconel 718

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