Theoretical Study of Path Adaptability Based on Surface Form Error Distribution in Fluid Jet Polishing

影响因子：2.7

DOI码：10.1364/OE.435945

发表刊物：APPLIED SCIENCES-BASEL

关键字：fluid jet polishing； deterministic polishing； variable pitch path ；residual error optimization； path adaptability； DWELL TIME MODEL ；TOOL PATH； OPTIMIZATION； RESTRAINT ；ALGORITHM

摘要：In the technology of computer-controlled optical surfacing (CCOS), the convergence of surface form error has a close relationship with the distribution of surface form error, the calculation of dwell time, tool influence function (TIF) and path planning. The distribution of surface form error directly reflects the difference in bulk material removal depth across a to-be-polished surface in subsequent corrective polishing. In this paper, the effect of path spacing and bulk material removal depth on the residual error have been deeply investigated based on basic simulation experiments excluding the interference factors in the actual polishing process. With the relationship among the critical evaluation parameters of the residual error (root-mean-square (RMS) and peak-to-valley (PV)), the path spacing and bulk material removal depth are mathematically characterized by the proposed RMS and PV maps, respectively. Moreover, a variable pitch path self-planning strategy based on the distribution of surface form error is proposed to optimize the residual error distribution. In the proposed strategy, the influence of different bulk material removal depths caused by the distribution of surface form error on residual error is compensated by fine adjustment of the path spacing according to the obtained path spacing optimization models. The simulated experimental results demonstrate that the residual error optimization strategy proposed in this paper can significantly optimize the overall residual error distribution without compromising the convergence speed. The optimized residual error distribution obtained in sub-regions of the polished surface is more uniform than that without optimization and is almost unaffected by the distribution of parent surface form error.

论文类型：SCI

卷号：8

期号：10

页面范围：1814-1814

是否译文：否

发表时间：2018-10-03

收录刊物：SCI

发布期刊链接：https://doi.org/10.1364/OE.435945