Accuracy Analysis and Error Source Identification for Optimization of Robot Based Machining Systems for Aerospace Production

Author(s):  
Simon Kothe ◽  
Sven Philipp von Stürmer ◽  
Hans Christian Schmidt ◽  
Christian Boehlmann ◽  
Jörg Wollnack ◽  
...  
Author(s):  
Zheng Zhang ◽  
Xuebuo Luo ◽  
Cunxi Xie

Abstract Multi-degree freedom robots have many advantages including agility, heavy-loading capability and high flexibility. They play a very important role in mechanical assembly. Due to the complexity of their spatial pose, the robot assembling accuracy analysis should not be confined to the 2-D plane. This paper applies the accuracy analysis to the virtual environment by constructing accurate models of robot assembly unit such as 3-D geometrical modeling, physical modeling, and behavioral modeling. Using the interactive and 3-D graphical environment to observe and evaluate the effects of assembling process. By operating the virtual 3-D model of the robot assembly unit and simulating the assembling process in the virtual assembly environment, the influence of errors in assembly can be analyzed and the statistical value of errors can be obtained. This paper also presents the method of visualization in analyzing the robot assembling accuracy, and studies the influence of spatial pose of robot assembly on the axis-hole assembly success rate, especially the robot teaching accuracy. Through the integration of the various errors and on the basis of the assembling accuracy, the tolerance of error source can be reasonably distributed to meet the requirement for assembling accuracy, and the planning of robot assembly unit can be improved.


Author(s):  
Andrea Catarsi ◽  
Davide Fioriti ◽  
Mauro Mameli ◽  
Sauro Filippeschi ◽  
Paolo Di Marco

2021 ◽  
Author(s):  
Christopher Thurman ◽  
Nikolas S. Zawodny ◽  
Nicole A. Pettingill ◽  
Leonard V. Lopes ◽  
James D. Baeder

2019 ◽  
Vol 67 (3) ◽  
pp. 219-227
Author(s):  
Youhong Xiao ◽  
Qingqing Song ◽  
Shaowei Li ◽  
Guoxue Lv ◽  
Zhenlin Ji

In noise source identification based on the inverse boundary element method (IBEM), the boundary vibration velocity is predicted based on the field pressure through a transfer matrix of the vibration velocity and field pressure established on the Helmholtz integral equation. Because the matrix is often ill-posed, it needs to be regularized before reconstructing the vibration velocity. Two regularization methods and two methods of selecting the regularization parameter are investigated through the simulation analysis of a pulsating sphere. The result of transfer matrix regularization is further verified through the reconstruction of the vibration of an aluminum plate. Additionally, to reduce the large errors at some frequencies in the reconstruction result, increasing the number of measuring points is more effective than reducing the distance between the measurement plane and the sound source.


2010 ◽  
Vol 30 (2) ◽  
pp. 537-539
Author(s):  
Min HE ◽  
Xiu-feng HE
Keyword(s):  

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