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Evaluate error correction ability of magnetorheological finishing process by Smoothing Spectral Function

机译:通过平滑谱函数评估磁流变精加工过程的纠错能力

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Power Spectral Density (PSD) has been entrenched in optics design and manufacturing as a characterization of mid-high spatial frequency (MHSF) errors. Smoothing Spectral Function (SSF) is a newly proposed parameter that based on PSD to evaluate error correction ability of computer controlled optical surfacing (CCOS) technologies. As a typical deterministic and sub-aperture finishing technology based on CCOS, magnetorheological finishing (MRF) leads to MHSF errors inevitably. SSF is employed to research different spatial frequency error correction ability of MRF process. The surface figures and PSD curves of work-piece machined by MRF are presented. By calculating SSF curve, the correction ability of MRF for different spatial frequency errors will be indicated as a normalized numerical value.
机译:功率谱密度(PSD)在光学设计和制造中已经根深蒂固,可表征中高空间频率(MHSF)误差。平滑光谱函数(SSF)是基于PSD的新提出的参数,用于评估计算机控制光学表面处理(CCOS)技术的纠错能力。作为一种基于CCOS的典型确定性和亚孔径精加工技术,磁流变精加工(MRF)不可避免地导致MHSF错误。 SSF用于研究MRF过程的不同空间频率纠错能力。给出了由MRF加工的工件的表面图形和PSD曲线。通过计算SSF曲线,将MRF对不同空间频率误差的校正能力表示为归一化数值。

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