Aluminum alloy foam-filled aluminum tube fabricated by friction stir back extrusion and its compression properties

2018 ◽  
Vol 183 ◽  
pp. 416-422 ◽  
Author(s):  
Yoshihiko Hangai ◽  
Shunsuke Otazawa ◽  
Takao Utsunomiya
Keyword(s):  
Aluminum Alloy ◽  
Aluminum Tube ◽  
Friction Stir ◽  
Compression Properties ◽  
Foam Filled

scholarly journals Aluminum Foam-Filled Steel Tube Fabricated from Aluminum Burrs of Die-Castings by Friction Stir Back Extrusion

Metals ◽  
2019 ◽  
Vol 9 (2) ◽  
pp. 124 ◽  
Author(s):  
Yoshihiko Hangai ◽  
Ryusei Kobayashi ◽  
Ryosuke Suzuki ◽  
Masaaki Matsubara ◽  
Nobuhiro Yoshikawa
Keyword(s):  
Aluminum Foam ◽  
Steel Tube ◽  
Coated Steel ◽  
Compression Tests ◽  
Steel Tubes ◽  
Friction Stir ◽  
Compression Properties ◽  
Al Foam ◽  
Foam Filled ◽  
Die Castings

A mixture of Al burrs of Al high-pressure die-castings and a blowing agent powder was used to fabricate Al foam-filled steel tubes by friction stir back extrusion (FSBE). It was shown that the mixture can be sufficiently consolidated to form an Al precursor that is coated on the inner surface of a steel tube by the plastic flow generated during FSBE. Namely, a precursor coated steel tube can be fabricated from Al burrs by FSBE. By heat treatment of the precursor coated steel tube, an Al foam-filled steel tube can be fabricated. Al foam was sufficiently filled in the steel tube, and the porosity was almost homogeneously distributed in the entire sample. In compression tests of the samples, the Al foam-filled steel tube fabricated from Al burrs exhibited similar compression properties to an Al foam-filled steel tube fabricated from the bulk Al precursor. Consequently, it was shown that an Al foam-filled steel tube cost-effectively fabricated from Al burrs by FSBE compares favorably with an Al foam-filled steel tube fabricated from the bulk Al precursor.

Salt fog corrosion behavior of friction stir welded AA2014-T651 aluminum alloy

2016 ◽  
Vol 58 (11-12) ◽  
pp. 932-938 ◽  
Author(s):  
Kollapuri Thamilarasan ◽  
Sadayan Rajendraboopathy ◽  
Gankidi Madhusudhan Reddy ◽  
Tadivaka Srinivasa Rao ◽  
Sajja Rama ◽  
...  
Keyword(s):  
Aluminum Alloy ◽  
Corrosion Behavior ◽  
Friction Stir ◽  
Salt Fog Corrosion ◽  
Salt Fog

Defects and tensile properties of 6013 aluminum alloy T-joints by friction stir welding

2014 ◽  
Vol 57 ◽  
pp. 146-155 ◽  
Author(s):  
Yong Zhao ◽  
Lilong Zhou ◽  
Qingzhao Wang ◽  
Keng Yan ◽  
Jiasheng Zou
Keyword(s):  
Aluminum Alloy ◽  
Friction Stir Welding ◽  
Tensile Properties ◽  
T Joints ◽  
Friction Stir

scholarly journals Study on Quality Prediction of 2219 Aluminum Alloy Friction Stir Welding Based on Real-Time Temperature Signal

Materials ◽  
2021 ◽  
Vol 14 (13) ◽  
pp. 3496
Author(s):  
Haijun Wang ◽  
Diqiu He ◽  
Mingjian Liao ◽  
Peng Liu ◽  
Ruilin Lai
Keyword(s):  
Aluminum Alloy ◽  
Friction Stir Welding ◽  
Prediction Model ◽  
Real Time ◽  
Support Vector ◽  
Weld Quality ◽  
Prediction Ability ◽  
Friction Stir ◽  
Temperature Signal ◽  
2219 Aluminum Alloy

The online prediction of friction stir welding quality is an important part of intelligent welding. In this paper, a new method for the online evaluation of weld quality is proposed, which takes the real-time temperature signal as the main research variable. We conducted a welding experiment with 2219 aluminum alloy of 6 mm thickness. The temperature signal is decomposed into components of different frequency bands by wavelet packet method and the energy of component signals is used as the characteristic parameter to evaluate the weld quality. A prediction model of weld performance based on least squares support vector machine and genetic algorithm was established. The experimental results showed that, when welding defects are caused by a sudden perturbation during welding, the amplitude of the temperature signal near the tool rotation frequency will change significantly. When improper process parameters are used, the frequency band component of the temperature signal in the range of 0~11 Hz increases significantly, and the statistical mean value of the temperature signal will also be different. The accuracy of the prediction model reached 90.6%, and the AUC value was 0.939, which reflects the good prediction ability of the model.

Friction Stir Riveting (FSR) of AA6061-T6 Aluminum Alloy and DP600 Steel

2021 ◽  
pp. 117156
Author(s):  
He Shan ◽  
Yunwu Ma ◽  
Sizhe Niu ◽  
Bingxin Yang ◽  
Ming Lou ◽  
...  
Keyword(s):  
Aluminum Alloy ◽  
Friction Stir
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