抛光
光学
平滑的
材料科学
碳化钨
卷积(计算机科学)
残余物
计算机科学
算法
物理
复合材料
人工智能
人工神经网络
计算机视觉
作者
Jiarong Zhang,Han Wang,Shaomu Zhuo,Jiaqi Kuang,Yu-Chang Wu,Jiahang Zhang,Xiangyou Zhu,Shuaijie Ma,Honghui Yao
出处
期刊:Applied Optics
[Optica Publishing Group]
日期:2023-03-16
卷期号:62 (11): 2766-2766
摘要
To suppress the mid-high-frequency error of small optical tungsten carbide aspheric molds, it is proposed to quickly select the critical process parameters by simulating the residual error after convolution of the tool influence function (TIF). After polishing for 10.47 min by the TIF, two simulation optimizations, RMS and Ra, converge to 9.3 and 5.347 nm, respectively. Their convergence rates are improved by 40% and 7.9%, respectively, compared to ordinary TIF. Then, a faster and more high-quality multi-tool combination smoothing suppression method is proposed, and the corresponding polishing tools are designed. Finally, the global Ra of the aspheric surface converges from 5.9 to 4.5 nm after smoothing for 5.5 min with a disc-shaped polishing tool with a fine microstructure and maintains an excellent low-frequency error (PV 0.0781 µm).
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