Surface topography of parallel grinding process for nonaxisymmetric aspheric lens

Zhang Ningning; Wang ZhenZhong; Pan Ri; Wang Chunjin; Guo Yinbiao

doi:10.3788/HPLPB20122406.1391

Volume 24 Issue 06

May 2012

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Article Navigation > High Power Laser and Particle Beams > 2012 > 24(06): 1391-1395

Li Yang, Xiang Libin, Zhang Wenxi. Target velocity acquisition from signals received by Fourier telescopy[J]. High Power Laser and Particle Beams, 2013, 25: 2193-2197. doi: 10.3788/HPLPB20132509.2193

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Zhang Ningning, Wang ZhenZhong, Pan Ri, et al. Surface topography of parallel grinding process for nonaxisymmetric aspheric lens[J]. High Power Laser and Particle Beams, 2012, 24: 1391-1395. doi: 10.3788/HPLPB20122406.1391

Li Yang, Xiang Libin, Zhang Wenxi. Target velocity acquisition from signals received by Fourier telescopy[J]. High Power Laser and Particle Beams, 2013, 25: 2193-2197. doi: 10.3788/HPLPB20132509.2193

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Surface topography of parallel grinding process for nonaxisymmetric aspheric lens

doi: 10.3788/HPLPB20122406.1391

1.
Department of Mechanical and Electrical Engineering,Xiamen University,Xiamen 361005,China;
2.
College of Education,Zhejiang University of Technology,Hangzhou 310014,China

Received Date: 2011-12-27
Rev Recd Date: 2012-02-17
Publish Date: 2012-06-15

Abstract

Abstract

Workpiece surface profile, texture and roughness can be predicted by modeling the topography of wheel surface and modeling kinematics of grinding process, which compose an important part of precision grinding process theory. Parallel grinding technology is an important method for nonaxisymmetric aspheric lens machining, but there is few report on relevant simulation. In this paper, a simulation method based on parallel grinding for precision machining of aspheric lens is proposed. The method combines modeling the random surface of wheel and modeling the single grain track based on arc wheel contact points. Then, a mathematical algorithm for surface topography is proposed and applied in conditions of different machining parameters. The consistence between the results of simulation and test proves that the algorithm is correct and efficient.
- nonaxisymmetric aspheric lens,
- parallel grinding,
- arc grinding wheel,
- surface topography,
- random surface

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