Paper
25 October 2016 The effect of structural coefficient on stiffness and deformation of hydrostatic guideway
Zhifeng Lai, Zheng Qiao, Peng Zhang, Bo Wang, Yangong Wu
Author Affiliations +
Abstract
Hydrostatic guideway has been widely used for ultra-precision machine tools due to its high stiffness and motion accuracy. In order to optimize the stiffness and motion accuracy of hydrostatic guideway, the effect of different diameters orifice restrictors on the stiffness and deformation of hydrostatic guideway is investigated in detail in this paper. The theoretically optimal structural coefficient is verified through the experiments. Hydrostatic guideway can obtain the maximum stiffness when the value of optimal structural coefficient is 0.707. And changing the diameter of orifice restrictors is an effective method to adjusting the structural coefficient. Due to the error caused by manufacture and assembly of hydrostatic guideway, the optimal structural coefficient is hard to be obtained accurately. Based on this condition, a larger structural coefficient is adopted to reduce the oil pressure in the pocket of hydrostatic guideway effectively, so that the deformation of guideway can be reduced. And finally, the stiffness loss caused by the deformation decreased. In addition, the experimental results show that the maximum deformation of hydrostatic guideway can be reduced from 2.06μm to 1.82μm and the stiffness arise from 1453N/μm to 1855N/μm when orifice restrictors with 0.15mm diameter are used rather than 0.2mm diameter.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zhifeng Lai, Zheng Qiao, Peng Zhang, Bo Wang, and Yangong Wu "The effect of structural coefficient on stiffness and deformation of hydrostatic guideway", Proc. SPIE 9685, 8th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Design, Manufacturing, and Testing of Micro- and Nano-Optical Devices and Systems; and Smart Structures and Materials, 968509 (25 October 2016); https://doi.org/10.1117/12.2242284
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Cited by 2 scholarly publications.
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KEYWORDS
Manufacturing

Inductance

Liquids

Data modeling

Head

Resistance

Thin films

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