High mechanical performance of AISI304 stainless steel plate by surface nanocrystallization and microstructural evolution during the explosive impact treatment

Wang, Huhe; Shi, Zhiming; Yaer, Xinba; Zheng, Tong; Du, Zhongjie

doi:10.1016/j.jmrt.2018.05.010

Cited by 21 publications

(5 citation statements)

References 22 publications

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“…In the local region where dislocations and substructures were concentrated, therefore, the corresponding IQ value in these local areas was very low in Figure 2B. The number of deformation bands should increase due to the large strain in a high strain rate for austenitic SS during high‐speed collision, 15 and then strain induced α'‐martensite transformation occurred in the deformation bands and intersection of deformation bands, as shown in Figure 2C. The ratio of the high‐angle grain boundary (HAGB) was high in Figure 2D, which should be attributed to the high strain rate during the high‐speed collision.…”

Section: Resultsmentioning

confidence: 97%

Microstructures and strengthening mechanism of 2D laminated structures in Ni balls after high‐speed collisions with 316 L stainless steel

Jinlong

Zhou

Zhang

2023

Engineering Reports

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In many cases, due to high surface stress, stress concentration and wear, the metal material starts to fail from the surface. It is necessary to investigate interface evolution characteristics under high‐speed collisions for widely used metal materials. The microstructures and strengthening mechanism of the Ni balls after high‐speed collisions with 316 L stainless steel were investigated by a self‐designed high‐speed collisions test system. It was found that ultrafine twins and α'‐martensite were formed in 316 L stainless steel (316 L SS) near the interface region. The elongated nano/ultrafine lamellar structures with high‐angle grain boundaries in Ni ball were formed near central interface region, while more equiaxed nano/ultrafine grains with random orientations and high‐angle grain boundaries were formed near edge interface region due to friction process and high shear stress. The gradient structure in the Ni ball near central interface region was formed due to normal stress, while the high shear strain could promote the formation of finer equiaxed grains in the Ni ball near edge interface region. Moreover, in addition to grain refinement strengthening, nano/ultrafine lamellar structures with sufficient intragranular recrystallization facilitated the activation of more dislocations and increased the strengthening of the Ni ball near central interface region.

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Section: Resultsmentioning

confidence: 97%

Microstructures and strengthening mechanism of 2D laminated structures in Ni balls after high‐speed collisions with 316 L stainless steel

Jinlong

Zhou

Zhang

2023

Engineering Reports

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“…It is recommended to use the RSW procedure instead of using mechanical fasteners, such as screws and rivets, when disassembling for maintenance is not requested [2]. The utilization of stainless steel grades in the manufacture of car components for the upcoming generation has been investigated due to its better features, including corrosion resistance and impact absorption capacity, in contrast to other mild steels [3][4][5].…”

Section: Introductionmentioning

confidence: 99%

Artificial Neural Networks and Experimental Analysis of the Resistance Spot Welding Parameters Effect on the Welded Joint Quality of AISI 304

Mezher,

Pereira,

Trzepieciński

et al. 2024

Materials

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The automobile industry relies primarily on spot welding operations, particularly resistance spot welding (RSW). The performance and durability of the resistance spot-welded joints are significantly impacted by the welding quality outputs, such as the shear force, nugget diameter, failure mode, and the hardness of the welded joints. In light of this, the present study sought to determine how the aforementioned welding quality outputs of 0.5 and 1 mm thick austenitic stainless steel AISI 304 were affected by RSW parameters, such as welding current, welding time, pressure, holding time, squeezing time, and pulse welding. In order to guarantee precise evaluation and experimental analysis, it is essential that they are supported by a numerical model using an intelligent model. The primary objective of this research is to develop and enhance an intelligent model employing artificial neural network (ANN) models. This model aims to provide deeper knowledge of how the RSW parameters affect the quality of optimum joint behavior. The proposed neural network (NN) models were executed using different ANN structures with various training and transfer functions based on the feedforward backpropagation approach to find the optimal model. The performance of the ANN models was evaluated in accordance with validation metrics, like the mean squared error (MSE) and correlation coefficient (R2). Assessing the experimental findings revealed the maximum shear force and nugget diameter emerged to be 8.6 kN and 5.4 mm for the case of 1–1 mm, 3.298 kN and 4.1 mm for the case of 0.5–0.5 mm, and 4.031 kN and 4.9 mm for the case of 0.5–1 mm. Based on the results of the Pareto charts generated by the Minitab program, the most important parameter for the 1–1 mm case was the welding current; for the 0.5–0.5 mm case, it was pulse welding; and for the 0.5–1 mm case, it was holding time. When looking at the hardness results, it is clear that the nugget zone is much higher than the heat-affected zone (HZ) and base metal (BM) in all three cases. The ANN models showed that the one-output shear force model gave the best prediction, relating to the highest R and the lowest MSE compared to the one-output nugget diameter model and two-output structure. However, the Levenberg–Marquardt backpropagation (Trainlm) training function with the log sigmoid transfer function recorded the best prediction results of both ANN structures.

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“…Explosive working is a material processing method that relies on explosive detonation's high-speed and high-pressure impact to carry out plastic forming, surface modification, and metallurgical bonds between metals [1]. e common explosive working methods include explosive strengthening [2][3][4], explosive welding [5][6][7], explosive compaction [8,9], explosive cutting [10][11][12], detonation synthesis [13,14], and so on. Explosion working is often carried out outdoors.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Response and Parametric Studies of Elliptical Blast‐Resistant Door with the Combined Structure for Large Vacuum Explosion Containers

Cheng

Wang

et al. 2021

Shock and Vibration

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In recent years, with the improvement of environmental protection requirements year by year and the continuous expansion of explosive working scale, higher standards have been put forward for explosive working. It is hoped that the sphere of influence of the explosion can be limited to a minimal range. The explosion vessel is driven by such demand. As the explosion vessel’s key component, studying the blast-resistant door in depth is of great significance. This paper introduces a new elliptical blast-resistant door with the combined structure (EBD), mainly welded with an elliptical panel, arc support plate, and triangle support plate. The finite element program AUTODYN was used to calculate the explosion load, and LS-DYNA was used to calculate the blast-resistant door’s dynamic response. The calculation results show that the newly proposed EBD’s blast-resistance capacity is better than that of the traditional structure. To further study the factors that affect the dynamic response of the EBD, a parametric study was carried out on the EBD, mainly analyzing the influence of the vacuum degree in the explosion vessel, the number of explosives, and the diameter ratio of the EBD. The parametric calculation results show that reducing the vacuum degree in the explosion vessel and the number of explosives during explosion working can improve the blast-resistance capacity of the EBD. Based on the analysis of the dynamic response of four kinds of EBD with different diameter ratios under 0.2 atm explosion load, the optimal diameter ratio of the EBD is given.

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High mechanical performance of AISI304 stainless steel plate by surface nanocrystallization and microstructural evolution during the explosive impact treatment

Cited by 21 publications

References 22 publications

Microstructures and strengthening mechanism of 2D laminated structures in Ni balls after high‐speed collisions with 316 L stainless steel

Microstructures and strengthening mechanism of 2D laminated structures in Ni balls after high‐speed collisions with 316 L stainless steel

Artificial Neural Networks and Experimental Analysis of the Resistance Spot Welding Parameters Effect on the Welded Joint Quality of AISI 304

Dynamic Response and Parametric Studies of Elliptical Blast‐Resistant Door with the Combined Structure for Large Vacuum Explosion Containers

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