TY - GEN
T1 - Optimization of fast tool servo diamond turning for enhancing geometrical accuracy and surface quality of freeform optics
AU - Zhang, Lin
AU - Sato, Yusuke
AU - Yan, Jiwang
N1 - Funding Information:
Lin Zhang is an International Research Fellow of the Japan Society for the Promotion of Science (JSPS) (ID No. is P 20368). This study has been financially supported by Grant-in-Aid for JSPS Fellows.
Publisher Copyright:
© European Society for Precision Engineering and Nanotechnology, Conference Proceedings - 22nd International Conference and Exhibition, EUSPEN 2022. All rights reserved.
PY - 2022
Y1 - 2022
N2 - Fast tool servo (FTS) diamond turning is a promising technique for high-precision generation of freeform optics with remarkable efficiency. However, the conventional constant scheme for control point sampling fails to consider the surface variation, which might lose some details of the surface profile and result in low form accuracy and non-uniform surface quality. Facing this issue, this manuscript proposes a novel optimization method for control points sampling, which restrains the deviations and contains as much of the surface details. In the optimization method, the sampling intervals between two adjacent control points are actively adjusted to adapt the surface variation of the desired surface. By adopting this method, the sampling induced interpolation error between the control points is restrained within the tolerance and eliminates lack/over-definition of control points in the machining area. The feasibility of the proposed optimization method is demonstrated by both theoretical prediction and fabrication experiment of sinusoid freeform surface. Compared with the conventional sampling method, both the predicted and measured form error of the proposed method are remarkably reduced about 35 % with the same amount of control points. This technique provides a new route to sampling control points in FTS diamond turning to achieve high accuracy and flexible fabrication of freeform surface machining.
AB - Fast tool servo (FTS) diamond turning is a promising technique for high-precision generation of freeform optics with remarkable efficiency. However, the conventional constant scheme for control point sampling fails to consider the surface variation, which might lose some details of the surface profile and result in low form accuracy and non-uniform surface quality. Facing this issue, this manuscript proposes a novel optimization method for control points sampling, which restrains the deviations and contains as much of the surface details. In the optimization method, the sampling intervals between two adjacent control points are actively adjusted to adapt the surface variation of the desired surface. By adopting this method, the sampling induced interpolation error between the control points is restrained within the tolerance and eliminates lack/over-definition of control points in the machining area. The feasibility of the proposed optimization method is demonstrated by both theoretical prediction and fabrication experiment of sinusoid freeform surface. Compared with the conventional sampling method, both the predicted and measured form error of the proposed method are remarkably reduced about 35 % with the same amount of control points. This technique provides a new route to sampling control points in FTS diamond turning to achieve high accuracy and flexible fabrication of freeform surface machining.
KW - control points
KW - desired tolerance
KW - Fast tool servo
KW - optimization sampling method
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M3 - Conference contribution
AN - SCOPUS:85145611801
T3 - European Society for Precision Engineering and Nanotechnology, Conference Proceedings - 22nd International Conference and Exhibition, EUSPEN 2022
SP - 491
EP - 494
BT - European Society for Precision Engineering and Nanotechnology, Conference Proceedings - 22nd International Conference and Exhibition, EUSPEN 2022
A2 - Leach, Richard K.
A2 - Akrofi-Ayesu, A.
A2 - Nisbet, C.
A2 - Phillips, Dishi
PB - euspen
T2 - 22nd International Conference of the European Society for Precision Engineering and Nanotechnology, EUSPEN 2022
Y2 - 30 May 2022 through 3 June 2022
ER -