Recent developments in advanced aircraft aluminium alloys

Dursun, Tolga; Soutis, C.

doi:10.1016/j.matdes.2013.12.002

Cited by 1,993 publications

(572 citation statements)

References 49 publications

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“…All hidden layers are equipped with the rectification (ReLU [16]) non-linearity, described in Equation (1). In equation, x and f is the input and output of neuron respectively.…”

Section: Conv_2mentioning

confidence: 99%

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Deep Learning-Based Image Segmentation for Al-La Alloy Microscopic Images

Ban

Huang

et al. 2018

Symmetry

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Quantitative analysis through image processing is a key step to gain information regarding the microstructure of materials. In this paper, we develop a deep learning-based method to address the task of image segmentation for microscopic images using an Al-La alloy. Our work makes three key contributions. (1) We train a deep convolutional neural network based on DeepLab to achieve image segmentation and have significant results. (2) We adopt a local processing method based on symmetric overlap-tile strategy which makes it possible to analyze the microscopic images with high resolution. Additionally, it achieves seamless segmentation. (3) We apply symmetric rectification to enhance the accuracy of results with 3D information. Experimental results showed that our method outperforms existing segmentation methods.

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“…All hidden layers are equipped with the rectification (ReLU [16]) non-linearity, described in Equation (1). In equation, x and f is the input and output of neuron respectively.…”

Section: Conv_2mentioning

confidence: 99%

“…The quantitative analysis of microstructures is essential in the control the properties and performances of metals or alloys [1,2]. An important step in this process is microscopic image processing [3] which is used to extract significant information in a microstructure [4].…”

Section: Introductionmentioning

confidence: 99%

Deep Learning-Based Image Segmentation for Al-La Alloy Microscopic Images

Ban

Huang

et al. 2018

Symmetry

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“…However, they have some drawbacks like the difficulty in welding them [2] and, in last years, there have been many research works to overcome some of these limitations [3,4]. This work is focused in the improvement of welding the 6082-T6 aluminum alloy with the process of gas metal arc welding (GMAW) or metal inert gas (MIG).…”

Section: Introductionmentioning

confidence: 99%

Robotic Welding Tests MIG Standard and CMT+P in Aluminum Alloy 6082-T6 for Optimization of Penetration, Cord Width and Reinforcement

Pascoal

Izeda

Cecilio

et al. 2018

The 18th International Conference on Experimental Mechanics

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Abstract:The present article describes an experimental analysis of a robotized Gas Metal-arc Welding (GMAW) in aluminum alloy, using Metal Inert Gas (MIG) in its transfer method variation Standard and pulsed Cold Metal Transfer (CMT+P), developed in order to optimize the penetration depth, width and reinforcement of the weld bead. The base metal was the aluminum alloy 6082-T6 and the filler metal was aluminum alloy 5754.

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“…2) In recent years, solid-state welding are getting more attention for the joining of heat-treatable aluminum alloy. [3][4][5] Solid-state welding such as friction stir welding which utilizes frictional heat and plastic ow is an excellent joining method to join various aluminum alloy series such as the 5000, 6000 series and also the high strength aluminum alloys such as the 2000 and 7000 series. [6][7][8][9] Since the invention of TWI in 1991, continuous research and development have been done and the technology have been applied to various transportation equipment like aircraft and railway vehicles.…”

Section: Introductionmentioning

confidence: 99%

Fabrication of 2000 Series Aluminum Alloy Lap Joint Sheets by Magnetic Pulse Welding and Their Interfacial Microstructure Observations

2017

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Lap joint sheets of 2017-T3/2017-T3 and 2024-T3/2024-T3 were fabricated by magnetic pulse welding (MPW). Tensile shear tests were performed on the welded sheet, and a good lap joint was achieved at a discharge energy more than 3.0 kJ for both lap joint sheets. Weld interface showed wavy morphology when bonding at an adequate amount of discharge energy. Weld width of the lap joint sheets tend to increase with increasing of discharge energy. Collision speed calculated based on collision time was 211 m/s and estimated 1.5 GPa of the collision pressure at discharge energy of 3.5 kJ. SEM and EDS results showed that the weld interface exhibited no signi cant contrast of intermediate layer and oxides. A Metal jet was observed as aggregates of ne particles with size of less than 100 nm at the outside of bonded area. From TEM observation at the bonding interface, Al phases between yer and parent sheets had direct contact without the intervention of the oxide, and localized melting was not recognized. From these obtained results, good lap joint is attributed to true-contact of Al phases, an increasing of weld width, the anchor effect, and work hardening at weld interface.

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Recent developments in advanced aircraft aluminium alloys

Cited by 1,993 publications

References 49 publications

Deep Learning-Based Image Segmentation for Al-La Alloy Microscopic Images

Deep Learning-Based Image Segmentation for Al-La Alloy Microscopic Images

Robotic Welding Tests MIG Standard and CMT+P in Aluminum Alloy 6082-T6 for Optimization of Penetration, Cord Width and Reinforcement

Fabrication of 2000 Series Aluminum Alloy Lap Joint Sheets by Magnetic Pulse Welding and Their Interfacial Microstructure Observations

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