Optimal calibration strategy for a five-axis machine tool accuracy improvement using the D-optimal approach

2019 ◽  
Vol 103 (1-4) ◽  
pp. 251-265 ◽  
Author(s):  
N. Alami Mchichi ◽  
J. R. R. Mayer
Keyword(s):  
Machine Tool ◽  
Accuracy Improvement ◽  
Machine Tool Accuracy ◽  
Optimal Approach ◽  
Five Axis ◽  
Optimal Calibration

scholarly journals Machine Tool Volumetric Error Features Extraction and Classification Using Principal Component Analysis and K-Means

2018 ◽  
Vol 2 (3) ◽  
pp. 60 ◽  
Author(s):  
Kanglin Xing ◽  
J.R.R. Mayer ◽  
Sofiane Achiche
Keyword(s):  
Principal Component Analysis ◽  
Machine Tool ◽  
Principal Component ◽  
Component Analysis ◽  
Features Extraction ◽  
State Classification ◽  
Volumetric Errors ◽  
Machine Tool Accuracy ◽  
Normal States ◽  
Five Axis

Volumetric errors (VE) are related to the machine tool accuracy state. Extracting features from the complex VE data provides with a means to characterize this data. VE feature classification can reveal the machine tool accuracy states. This paper presents a study on how to use principal component analysis (PCA) to extract the features of VE and how to use the K-means method for machine tool accuracy state classification. The proposed data processing methods have been tested with the VE data acquired from a five-axis machine tool with different states of malfunction. The results indicate that the PCA and K-means are capable of extracting the VE feature information and classifying the fault states including the C axis encoder fault, uncalibrated C axis encoder fault, and pallet location fault from the machine tool normal states. This research provides a new way for VE features extraction and classification.

scholarly journals Special Issue on Machine Accuracy Evaluation

2020 ◽  
Vol 14 (3) ◽  
pp. 359-359
Author(s):  
Soichi Ibaraki ◽  
Andreas Archenti
Keyword(s):  
Machine Tool ◽  
Machine Tools ◽  
Metrological Problem ◽  
Accuracy Evaluation ◽  
3D Measurement ◽  
Special Issue ◽  
Position Measurement ◽  
Machine Tool Accuracy ◽  
Error Calibration ◽  
Five Axis

The accuracy of a three-dimensional (3D) positioning system can ultimately be evaluated via measurement of a 3D vector between command and actual end-effector positions at arbitrary points over the entire workspace. This is a simple, yet challenging, metrological problem. The motion accuracy of a machine tool is traditionally evaluated on an axis-to-axis basis, with every error motion of every axis being independently measured as part of a one-dimensional measurement process in a different setup. Toward the ultimate goal of 3D position measurement over the entire workspace, research efforts have offered several new, practical measurement technologies. This special issue covers the technical and academic efforts regarding the evaluation of machine tool accuracy. The papers in this special issue clarify the latest research frontiers regarding machine tool accuracy from a metrological viewpoint. In the first paper, by Montavon et al., error calibration technologies and their management are reviewed within the Internet of production concept. Long-term accuracy monitoring and management are clearly among the most crucial technical challenges faced regarding machine tools, and the work by Xing et al. is related to them. Ibaraki et al. presented machining tests to evaluate the thermal distortion of a machine tool. Peukert et al. studied the dynamic interaction between machine tools and their foundations. Various 3D measurement schemes for determining machine error motions have been investigated by many researchers, and some have been implemented in industrial applications. Kenno et al. and Florussen et al. investigated 3D measurement using the R-test for five-axis machines. Miller et al. studied simultaneous measurement of six-degree-of-freedom error motions of a linear axis. Nagao et al. presented an error calibration method for a parallel kinematic machine tool. The editors appreciate the contributions of all the authors, as well as the work of the reviewers. We are confident that this special issue will further encourage research and engineering work for improving the accuracy and performance of machine tools.

Sensitivity Analysis of Geometric Errors for Five-Axis CNC Machine Tool Based on Multi-Body System Theory

2012 ◽  
Vol 271-272 ◽  
pp. 493-497
Author(s):  
Wei Qing Wang ◽  
Huan Qin Wu
Keyword(s):  
System Theory ◽  
Sensitivity Analysis ◽  
Machine Tool ◽  
Geometric Error ◽  
Machining Accuracy ◽  
Geometric Errors ◽  
Body System ◽  
Cnc Machine ◽  
Multi Body ◽  
Five Axis

Abstract: In order to determine that the effect of geometric error to the machining accuracy is an important premise for the error compensation, a sensitivity analysis method of geometric error is presented based on multi-body system theory in this paper. An accuracy model of five-axis machine tool is established based on multi-body system theory, and with 37 geometric errors obtained through experimental verification, key error sources affecting the machining accuracy are finally identified by sensitivity analysis. The analysis result shows that the presented method can identify the important geometric errors having large influence on volumetric error of machine tool and is of help to improve the accuracy of machine tool economically.

Tool Path Geometry for Multi-Axis Kinematics Conversion in CAD-CAM Integration

1992 ◽  
Author(s):  
Jui-Jen Chou ◽  
D. C. H. Yang
Keyword(s):  
Machine Tool ◽  
Tool Path ◽  
Cad Model ◽  
Geometrical Properties ◽  
Time Dependent Domain ◽  
Arbitrary Space ◽  
Cad Cam ◽  
Tool Motion ◽  
And Control ◽  
Five Axis

Abstract In the integration of CAD and CAM, it is necessary to relate machine tool kinematics and control in a CAM process to the geometrical data in a CAD model. The data stored in a CAD model is usually static in nature and represented by unitless parameters. Yet, in machine tool motion and control, the data should be transformed into a time dependent domain. In this paper, a general theory on the conversion from desired paths to motion trajectory is analytically derived. The geometrical properties of a desired path, including position, tangent, and curvature are related to the kinematics of coordinated motion including feedrate, acceleration, and jerk. As a result, the motion commands used as control references to track arbitrary space curves for five-axis computer-controlled machines can be generated in a rather straight-forward as well as systematic way.

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