Phase error analysis for birefringent homogeneity measurements of large-scale optical materials with spherical mirror

2012 ◽  
Author(s):  
Xiao Zhang ◽  
Jie Miao ◽  
Dean Liu ◽  
Jianqiang Zhu ◽  
Jianjun Hu
Keyword(s):  
Error Analysis ◽  
Optical Materials ◽  
Large Scale ◽  
Phase Error ◽  
Spherical Mirror

FM-CW Signal Phase Error Analysis and Compensation

2015 ◽  
Author(s):  
Y. Deng ◽  
X. Guo ◽  
R. Wang ◽  
C. Hu ◽  
T. Zeng
Keyword(s):  
Error Analysis ◽  
Phase Error ◽  
Signal Phase

scholarly journals Nonlinear phase error analysis of equivalent thickness in a white-light spectral interferometer

2019 ◽  
Vol 2 (2) ◽  
pp. 77-82
Author(s):  
Tong Guo ◽  
Qianwen Weng ◽  
Bei Luo ◽  
Jinping Chen ◽  
Xing Fu ◽  
...  
Keyword(s):  
Error Analysis ◽  
White Light ◽  
Phase Error ◽  
Equivalent Thickness ◽  
Nonlinear Phase

Method of phase error analysis and compensation for terahertz inverse synthetic aperture radar

2013 ◽  
Vol 25 (6) ◽  
pp. 1469-1474
Author(s):  
刘磊 Liu Lei ◽  
周峰 Zhou Feng ◽  
陶明亮 Tao Mingliang ◽  
张子敬 Zhang Zijing
Keyword(s):  
Error Analysis ◽  
Synthetic Aperture Radar ◽  
Phase Error ◽  
Synthetic Aperture ◽  
Inverse Synthetic Aperture Radar ◽  
Aperture Radar

Large-scale spatial angle measurement and the pointing error analysis

2016 ◽  
Vol 12 (3) ◽  
pp. 229-232 ◽  
Author(s):  
Wen-jian Xiao ◽  
Zhi-bin Chen ◽  
Dong-xi Ma ◽  
Yong Zhang ◽  
Xian-hong Liu ◽  
...  
Keyword(s):  
Error Analysis ◽  
Large Scale ◽  
Angle Measurement ◽  
Pointing Error

A Data-Driven Machining Error Analysis Method for Finish Machining of Assembly Interfaces of Large-Scale Components

2020 ◽  
Vol 143 (4) ◽  
Author(s):  
Wei Fan ◽  
Lianyu Zheng ◽  
Wei Ji ◽  
Xun Xu ◽  
Lihui Wang ◽  
...  
Keyword(s):  
Error Analysis ◽  
Large Scale ◽  
Tool Path ◽  
Cutting Parameters ◽  
Pso Algorithm ◽  
Data Driven ◽  
Machining Accuracy ◽  
Machining Error ◽  
Spatial Statistical Analysis ◽  
Machining Errors

Abstract To guarantee the final assembly quality of the large-scale components, the assembly interfaces of large components need to be finish-machined on site. Such assembly interfaces are often in low-stiffness structure and made of difficult-to-cut materials, which makes it hard to fulfill machining tolerance. To solve this issue, a data-driven adaptive machining error analysis and compensation method is proposed based on on-machine measurement. Within this context, an initial definite plane is fitted via an improved robust iterating least-squares plane-fitting method based on the spatial statistical analysis result of machining errors of the key measurement points. Then, the parameters of the definite plane are solved by a simulated annealing-particle swarm optimization (SA-PSO) algorithm to determine the optimal definite plane; it effectively decomposes the machining error into systematic error and process error. To reduce these errors, compensation methods, tool-path adjustment method, and an optimized group of cutting parameters are proposed. The proposed method is validated by a set of cutting tests of an assembly interface of a large-scale aircraft vertical tail. The results indicate that the machining errors are successfully separated, and each type of error has been reduced by the proposed method. A 0.017 mm machining accuracy of the wall-thickness of the assembly interface has been achieved, well fulfilling the requirement of 0.05 mm tolerance.

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