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Research Papers

Investigation on the Influence of Machine Tool Dynamics on the Wavefront Gradient of KH2PO4 Crystals

[+] Author and Article Information
Wanqun Chen

Center for Precision Engineering,
Harbin Institute of Technology,
Harbin 150001, China
e-mail: chwq@hit.edu.cn

Yingchun Liang

Center for Precision Engineering,
Harbin Institute of Technology,
Harbin 150001, China
e-mail: ycliang@hit.edu.cn

Yazhou Sun

Center for Precision Engineering,
Harbin Institute of Technology,
Harbin 150001, China
e-mail: sunyzh@hit.edu.cn

Lihua Lu

Center for Precision Engineering,
Harbin Institute of Technology,
Harbin 150001, China
e-mail: lihual@hit.edu.cn

1Corresponding author.

Contributed by the Manufacturing Engineering Division of ASME for publication in the JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING. Manuscript received September 2, 2013; final manuscript received June 7, 2014; published online August 6, 2014. Assoc. Editor: Tony Schmitz.

J. Manuf. Sci. Eng 136(5), 051006 (Aug 06, 2014) (6 pages) Paper No: MANU-13-1336; doi: 10.1115/1.4028091 History: Received September 02, 2013; Revised June 07, 2014

The root mean square gradient (GRMS) is a key parameter for KH2PO4 crystal of low-frequency wavefront, which affects the focusing performance in the inertial confinement fusion (ICF) system. The large wavelength waviness on the machined surface has significant influence on the GRMS. In this paper, the influence of the large wavelength waviness on the GRMS and the main sources resulting in the large scale ripples are analyzed based on dynamics analysis of the machine tool. The dynamic performance of machine tool is optimized and the reasonable dynamic stiffness region is obtained. Furthermore, the machined and the tested results validate the usefulness of the theoretical analysis.

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Figures

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Fig. 1

The laser path structure diagram of Fieazu interferometer

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Fig. 2

Tested result machined by the initial machine tool

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Fig. 3

Machined surface by the original machine tool. (a) GRMS of the machined surface; (b) near field modulation; and (c) smoothness of the machined crystal surface.

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Fig. 4

Schematic diagram of the fly cutting process

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Fig. 5

FE model of the machine tool

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Fig. 6

Dynamic stiffness of the TMWS

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Fig. 7

The modal tests and results of the machine tool: (a) setup for modal test and (b) the response of the machine tool

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Fig. 8

Displacement between the tool tip and the workpiece

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Fig. 9

Simulation result: (a) simulation surface of the workpiece and (b) GRMS test result of the simulated surface

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Fig. 10

Impact of the dynamic performance of the machine tool on GRMS

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Fig. 11

The test result of the machined surface after optimization

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Fig. 12

Machined surface by the optimized machine tool: (a) GRMS of the machined surface, (b) near field modulation, and (c) the smoothness of the machined crystal surface

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