光学 精密工程, 2020, 28 (1): 102, 网络出版: 2020-03-25   

基于概率统计的BK7玻璃磨削亚表层损伤深度在线预测技术

Prediction of subsurface damage depth in grinding of BK7 glass based on probability statistics
作者单位
1 中国科学院 宁波材料技术与工程研究所 浙江省机器人与智能制造装备技术重点实验室, 浙江 宁波 315201
2 中国科学院大学 材料与光电研究中心, 北京 100049
引用该论文

吕东喜, 陈明达, 姚友强, 赵岳, 祝颖丹. 基于概率统计的BK7玻璃磨削亚表层损伤深度在线预测技术[J]. 光学 精密工程, 2020, 28(1): 102.

L Dong-xi, CHEN Ming-da, YAO You-qiang, ZHAO Yue, ZHU Ying-dan. Prediction of subsurface damage depth in grinding of BK7 glass based on probability statistics[J]. Optics and Precision Engineering, 2020, 28(1): 102.

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吕东喜, 陈明达, 姚友强, 赵岳, 祝颖丹. 基于概率统计的BK7玻璃磨削亚表层损伤深度在线预测技术[J]. 光学 精密工程, 2020, 28(1): 102. L Dong-xi, CHEN Ming-da, YAO You-qiang, ZHAO Yue, ZHU Ying-dan. Prediction of subsurface damage depth in grinding of BK7 glass based on probability statistics[J]. Optics and Precision Engineering, 2020, 28(1): 102.

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