Effect of post-heat treatment on microstructure and mechanical properties of laser welded Al-Cu-Mg alloy

Маликов, А. Г.; Orishich, A. M.; Vitoshkin, I. E.; Karpov, E. V.; Анчаров, А. И.

doi:10.1016/j.jmapro.2021.02.008

Cited by 18 publications

(3 citation statements)

References 52 publications

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“…Welding has been widely used in many production industries such as aerospace, shipbuilding, and nuclear industry [1][2][3] as a significant aluminum alloy material processing technology. Welding is a non-completely controlled physicochemical reaction process that is influenced by a variety of elements [4].…”

Section: Introductionmentioning

confidence: 99%

Studying an improved recursive rough method for three-dimensional visual examination of steel plate butt welding surface quality

Zhang,

Zhao

2024

J. Phys.: Conf. Ser.

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An improved recursive rough algorithm is proposed to extract feature points in order to address the slow speed and poor accuracy of feature point extraction in 3D visual inspection, as well as the difficulty in meeting the requirements of efficient and quantitative analysis of welded surface quality detection. The preprocessed point cloud is sliced by section. The feature points are obtained according to the improved recursive rough algorithm. The defect evaluation is carried out to obtain the inspection conclusion of the weld appearance defect. Finally, according to the formulated weld defect evaluation process and standards, the typical weld template is selected for weld width, weld misedge and weld straightness test. Weld detection accuracy can reach 3 decimal places, the speed is 4 times the current manual detection speed. The detection results show that the system has the characteristics of high accuracy and fast speed which can replace manual detection. It also has a good application prospect.

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Section: Introductionmentioning

confidence: 99%

Studying an improved recursive rough method for three-dimensional visual examination of steel plate butt welding surface quality

Zhang,

Zhao

2024

J. Phys.: Conf. Ser.

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“…Nowadays, both Copper (Cu) and Aluminum (Al) are important metals in the electrical industry due to their proper electrical and thermal conductivity as well as high corrosion resistance and also chemical and mechanical properties [1,2]. There have been many studies on different welding methods in order to joint these two materials.…”

Section: Introductionmentioning

confidence: 99%

Prediction of mechanical properties and hardness of friction stir welding of Al 5083/pure Cu using ANN, ICA and PSO model

et al. 2022

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The effect of parameters involved in prediction of mechanical properties of Friction Stir Welding have been investigated in this study through modeling. For this purpose, the friction stir welding on both sheets of 5083 Aluminum (Al5083) and pure Copper (Cu) was experimentally conducted at first level. Three factors of Rotation Speed (RPM), Traverse Speed (mm/min) and the Tool’s pin angle was examined. During the tentative test, many experiments were not satisfactorily performed. Thanks to a more rigorous study hypothesis, proper samples were obtained by changing the geometry of different tools. In order to overcome the softness of aluminum sheets and the rise of shoulder diameter, and also to avoid the vertical instability of the sheet, shortening the pin’s length was suggested. In this paper, the Full Factorial method has been employed to evaluate the result of Artificial Neural Networks (ANN), Imperialist Competitive Algorithm, Particle Swarm Optimization, and also the effects of input parameters of the process on output parameters. Moreover, Al5083 and Cu joining sheets were analyzed. Micro-hardness and tensile tests have been based on the process’ input parameters to obtain mechanical properties. The function of ANN model demonstrates that it can estimate the number of mechanical properties with an adequate precision. Using the evaluation factors of mechanical properties and micro-hardness and also a R2 ~ 0.943 analysis, the optimum parameters of Al5083 and Cu joining sheets can be anticipated. The rotation speed of 1150 rpm, traverse speed of 40 mm/min, and pin angle of 2° are the optimum conditions based on the average review of analyses. These optimum conditions led to improve the maximum tensile force up to 15 ~ 21%.

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“…Considerable efforts have gone into developing high-performance spring steel over several decades. Heat treatment processes [ 17 , 18 , 19 , 20 , 21 , 22 ] and microalloying [ 18 , 23 ] are the most effective for intensifying the strength limit. There are, however, only a few systematic studies on the heat treatment of 38Si7 steel with the Φ13 mm specification.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Heat Treatment for 38Si7 Spring Steel with Excellent Mechanical Properties and Controlled Decarburization

Wang

Zhang

et al. 2022

Materials

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Optimizing the heat treatment procedure with 13 mm diameter 38Si7 spring steel is critical for developing high-performance, low-cost, large spring steel for railway clips. The effects of quenching temperature, holding time, tempering temperature, and tempering time on the microstructure and mechanical properties were investigated using an orthogonal experiment, designed with four factors and three levels. The best heat treatment settings were explored, as well as the variation laws of mechanical properties, decarburization behavior, and fracture morphology. The results demonstrated that quenching temperature and tempering temperature had the most impact on plasticity and tempering temperature, while time had the most effect on strength. The optimized heat treatment schemes made the elongation increase by up to 106% and the reduction in area increase by up to 67%, compared with the standard BS EN 10089-2002, and there were mixed fractures caused by ductility and brittleness. The fracture tests showed a good performance of 20.2 GPa·%, and the heat treatment processes’ minimum decarburization depth of 93.4 μm was determined. The optimized process would obtain stronger plastic deposition and better decarburization performance. The microstructure was simply lightly tempered martensite, and the matrix still retained the acicular martensite. The optimal heat treatment process is quenching at 900 °C for 30 min (water cooling), followed by tempering at 430 °C for 60 min (air cooling). The research led to a solution for increasing the overall mechanical characteristics and decreasing the surface decarburization of 38Si7 spring steel with a diameter of 13 mm, and it set the foundation for increasing the mass production of railway clips of this size.

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Effect of post-heat treatment on microstructure and mechanical properties of laser welded Al-Cu-Mg alloy

Cited by 18 publications

References 52 publications

Studying an improved recursive rough method for three-dimensional visual examination of steel plate butt welding surface quality

Studying an improved recursive rough method for three-dimensional visual examination of steel plate butt welding surface quality

Prediction of mechanical properties and hardness of friction stir welding of Al 5083/pure Cu using ANN, ICA and PSO model

Optimization of Heat Treatment for 38Si7 Spring Steel with Excellent Mechanical Properties and Controlled Decarburization

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