Experimental verification of a wall interference correction method with interface measurements

1993 ◽  
Vol 30 (6) ◽  
pp. 813-817
Author(s):  
C. F. Lo ◽  
N. Ulbrich
Keyword(s):  
Experimental Verification ◽  
Correction Method ◽  
Interference Correction

An Adaptive Error Correction Method Using Feature-Based Analysis Techniques for Machine Performance Improvement, Part 2: Experimental Verification

1995 ◽  
Vol 117 (4) ◽  
pp. 591-600 ◽  
Author(s):  
J. Mou ◽  
M. A. Donmez ◽  
S. Cetinkunt
Keyword(s):  
Error Correction ◽  
Performance Improvement ◽  
Experimental Verification ◽  
Correction Method ◽  
Residual Error ◽  
Error Components ◽  
Machine Performance ◽  
Error Correction Method ◽  
Analysis Technique ◽  
Feature Based

The development and derivation of an adaptive error correction method using an interactive inspection system and feature-based analysis technique for machine performance improvement were presented in Part 1 of this paper. Here, in Part 2, the experimental verification of the derived feature-based residual error models and analysis technique is described in detail. The experimental procedure and results of both the process-intermittent and the post-process gauging are presented. A polynomial regression method is used to derive the parametric functions that represent the deviation of imperfect features from nominal. The output of these polynomial functions is compared with process-intermittent inspection data to determine the machine errors and then to identify the residual systematic errors. Feature-based residual error models are used to correlate the residual errors to the systematic residual error components. Inverse kinematics technique and multiple regression methods are used to identify and characterize the contribution of each error component as a function of the machine’s temperature profile and nominal position. The residual error components are then combined with the error components identified through the pre-process characterization process to refine the geometric-thermal error model. After the error model is adaptively fine tuned, it can be used more effectively to compensate the machine tool error for more precise manufacturing.

Wall Interference Correction Method for Kevlar Wall Test Section

2020 ◽  
Vol 57 (5) ◽  
pp. 889-900
Author(s):  
Hiroki Ura ◽  
Masashi Shigemi ◽  
Tomonari Hirotani ◽  
Tomoyuki Homma
Keyword(s):  
Test Section ◽  
Correction Method ◽  
Interference Correction

Evaluation of Wall-Interference Correction Method Using Numerical Analysis and Porous Wall Model

2015 ◽  
Vol 52 (1) ◽  
pp. 226-234 ◽  
Author(s):  
Taisuke Nambu ◽  
Atsushi Hashimoto ◽  
Makoto Ueno ◽  
Keiichi Murakami ◽  
Tetsuya Sato
Keyword(s):  
Numerical Analysis ◽  
Porous Wall ◽  
Correction Method ◽  
Wall Model ◽  
Interference Correction

Research on the Interference Correction in the CNC Incremental Forming Based on Iterative Algorithm

2014 ◽  
Vol 988 ◽  
pp. 305-308
Author(s):  
Hu Zhu ◽  
Hua Yi Li ◽  
Wei Zhang
Keyword(s):  
Iterative Algorithm ◽  
Correction Method ◽  
Correction Angle ◽  
One Dimensional ◽  
Accuracy Requirement ◽  
Cnc Incremental Forming ◽  
Interference Correction ◽  
The Given ◽  
Location Point

Aiming at the problem of the interference of extrusion tool handle and workpiece in the process of 5-axis CNC sheet forming, an interference correction method based on one-dimensional searching algorithm of iterative of optimal design is presented in this paper. Using the iterative algorithm, the optimal critical posture of extrusion tool which the interference is corrected with the given accuracy requirement is found out, and then the interference correction angle is calculated. Taking the cutter location point (CLP) as a rotation center, the extrusion tool is rotated the correction angle to achieved interference correction. The case study shows that this method is simple, effective and it can correct the interference with the given accuracy value.

scholarly journals A metal interference correction method of tunnel transient electromagnetic advanced detection

2020 ◽  
Vol 17 (3) ◽  
pp. 429-438
Author(s):  
Guanqun Zhou ◽  
Mingxin Yue ◽  
Xiaodong Yang ◽  
Shengdong Liu ◽  
Zhao Wu ◽  
...  
Keyword(s):  
Water Inrush ◽  
Forecast Accuracy ◽  
Correction Method ◽  
Tunnel Excavation ◽  
Transient Electromagnetic ◽  
Interference Correction ◽  
Working Face ◽  
Excavation Process ◽  
Mining Safety ◽  
Metal Tools

Abstract Water inrush during tunnel excavation severally threatens the mining safety as blind water-bearing structures may develop in front of the working face. The transient electromagnetic method (TEM) has been widely applied in the advanced detection of tunnel water-bearing structures. However, the metal interference of both supports and tools in the tunnel has become a bottleneck that reduces the forecast accuracy of this method. In this paper, we analyse the effect of metal interference on TEM data and propose a novel set of an observation and correction method under metal interference based on the ratio of anomalous and background apparent resistivity. Flume model experiments both with and without metal interference are carried out, showing that this interference can affect TEM measurements significantly and result in false anomalies, and that our proposed method can remove this ambient noise caused by metal interference appropriately. The practical application further proves that this method can effectively reduce low-resistivity interference introduced by the support and other metal tools inside the tunnel. By applying this correction method, the location of water-rich anomalies can be detected more precisely during the excavation process of the same tunnel, which is of high application value of reducing exploration difficulty and tunneling risk.

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