scholarly journals Using Aramis for Measurement of Deformation of Thin-Walled Parts during Milling

Author(s):  
Jozef Peterka ◽  
Ivan Buranský

Using Aramis for Measurement of Deformation of Thin-Walled Parts during Milling This paper describes deformation measurement of thin-walled parts by ARAMIS measuring system. During the milling, machine and workpiece may deviate from required geometry. Thin-walled parts are primarily used in automotive, aerospace and energy industries. ARAMIS is a system for optical 3D deformation analysis for static or dynamically loaded specimens and components. ARAMIS measuring system can be used for determining the deformation of thin-walled parts during milling.

2010 ◽  
Vol 26 (3) ◽  
pp. 223-231 ◽  
Author(s):  
Yu-Chih Chiang ◽  
Peter Rösch ◽  
Alp Dabanoglu ◽  
Chun-Pin Lin ◽  
Reinhard Hickel ◽  
...  

2020 ◽  
Vol 49 (7) ◽  
pp. 712002
Author(s):  
邢丽 Li XING ◽  
张弘治 Hong-zhi ZHANG ◽  
陈曦 Xi CHEN ◽  
王刚 Gang WANG

2020 ◽  
Vol 12 (4) ◽  
pp. 730 ◽  
Author(s):  
Haili Sun ◽  
Zhengwen Xu ◽  
Lianbi Yao ◽  
Ruofei Zhong ◽  
Liming Du ◽  
...  

The common statistical methods for rail tunnel deformation and disease detection usually require a large amount of equipment and manpower to achieve full section detection, which are time consuming and inefficient. The development trend in the industry is to use laser scanning for full section detection. In this paper, a design scheme for a tunnel monitoring and measuring system with laser scanning as the main sensor for tunnel environmental disease and deformation analysis is proposed. The system provides functions such as tunnel point cloud collection, section deformation analysis, dislocation analysis, disease extraction, tunnel and track image generation, roaming video generation, etc. Field engineering indicated that the repeatability of the convergence diameter detection of the system can reach ±2 mm, dislocation repeatability can reach ±3 mm, the image resolution is about 0.5 mm/pixel in the ballast part, and the resolution of the inner wall of the tunnel is about 1.5 mm/pixel. The system can include human–computer interaction to extract and label diseases or appurtenances and support the generation of thematic disease maps. The developed system can provide important technical support for deformation and disease detection of rail transit tunnels.


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