scholarly journals Recent advances in light metals and manufacturing for automotive applications

CIM Journal ◽  
2021 ◽  
pp. 1-9
Author(s):  
A. A. Luo
2019 ◽  
Vol 285 ◽  
pp. 405-410 ◽  
Author(s):  
Anders E.W. Jarfors ◽  
Jin Chuan Zheng ◽  
Liang Chen ◽  
Jie Yang

Recent advances in rheocasting have resulted in significant expansion in the types of products currently in full commercial production. The current paper gives an overview of components in production in Europe and in China produced using the RheoMetalTM process, that has taken the lead in a strong drive towards new heavy-duty applications made from aluminium alloys. In China, the dominating applications are found in the telecom industry. The trend in Europe is more towards marine and automotive applications commonly in fatigue loaded applications. The reason for the choice of rheocasting for complicated shape thin-walled electronics components with requirements is dominated by process yield and by the ability to improve thermal conductivity. The heavy-duty truck chassis thick walled components target weight reduction through design and to sustain fatigue load normally requiring forged components. Common in all applications are seen in production yield, reduced tool wear and reduction of die soldering.


2020 ◽  
Vol 77 ◽  
pp. 100806 ◽  
Author(s):  
Xiaosong Hu ◽  
Yusheng Zheng ◽  
David A. Howey ◽  
Hector Perez ◽  
Aoife Foley ◽  
...  

2016 ◽  
Vol 20 (1) ◽  
pp. 13-24 ◽  
Author(s):  
M.A. Easton ◽  
M. Qian ◽  
A. Prasad ◽  
D.H. StJohn

2007 ◽  
Author(s):  
Florian Bechmann ◽  
Peter Fallböhmer ◽  
Rudolf Stauber ◽  
Christian Rauber ◽  
Andreas Lohmüller ◽  
...  

2020 ◽  
Vol 30 (2) ◽  
pp. 74-81
Author(s):  
Aldo André Díaz ◽  
Paulo R. G. Kurka

Recent advances in computer vision have favored technological developments in the automotive industry. In this work, we present methods relevant to the use of cameras as measurement devices in computer vision and their applications in the automotive industry. The methods are edge and ellipse detection, camera calibration, 3-D reconstruction and stereo vision. The applications include methods for detecting rims in automotive wheels, estimation of the calibration angles of vehicles and the reconstruction of a vehicle's trajectory using stereo vision. The results showed the potential of computer vision methods to solve complex problems in the automotive industry. In conclusion, a set of techniques and applications of computer vision in the automotive industry are presented in order to motivate future developments in this and other related areas.


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