2016
DOI: 10.1088/0957-0233/27/5/055004
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Accurate identification and compensation of geometric errors of 5-axis CNC machine tools using double ball bar

Abstract: Five-axis CNC machine tools are widely used in manufacturing of parts with free-form surfaces. Geometric errors of machine tools have significant effects on the quality of manufactured parts. This research focuses on development of a new method to accurately identify geometric errors of 5-axis CNC machines, especially the errors due to rotary axes, using the magnetic double ball bar. A theoretical model for identification of geometric errors is provided. In this model, both position-independent errors and posi… Show more

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Cited by 58 publications
(31 citation statements)
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“…These errors at each CC point of the finishing process are shown in Figure 10(b) and (c). On the other hand, the geometric errors of the machine tool were identified using the method developed by Lasemi, Xue, and Gu (2012). These errors calculated at each CC point of the finishing tool paths in x, y and z directions are illustrated in Figure 10(d)-(f ).…”
Section: Resultsmentioning
confidence: 99%
See 3 more Smart Citations
“…These errors at each CC point of the finishing process are shown in Figure 10(b) and (c). On the other hand, the geometric errors of the machine tool were identified using the method developed by Lasemi, Xue, and Gu (2012). These errors calculated at each CC point of the finishing tool paths in x, y and z directions are illustrated in Figure 10(d)-(f ).…”
Section: Resultsmentioning
confidence: 99%
“…machine-related errors) are identified offline through a double ball bar (DBB) method developed in our previous research (Lasemi, Xue, and Gu 2012). The predicted process-related errors and the geometric errors are compensated through re-planning of the finishing tool paths using the mirror approach.…”
Section: Introductionmentioning
confidence: 99%
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“…Furthermore, analysing the influence of error sources on the end effector is another way to solve the geometric error source identification problem. Lasemi et al [17] and Ni et al [18] and [19] divided error sources into position-independent and positiondependent errors according to the difference in the effects of geometric error sources on the end effector by a DBB method. The identification model was established, and the geometric errors were identified by sensitivity analysis.…”
Section: Introductionmentioning
confidence: 99%