Prediction Model for Subsurface Damage in Grinding of Optical Glass and Doe Experiment Design

YANG Xiaohui; ZHOU Lingyu; LIU Ning; MENG Xianyu

doi:10.13433/j.cnki.1003-8728.20220242

Volume 43 Issue 3

Mar. 2024

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Article Navigation > Mechanical Science and Technology for Aerospace Engineering > 2024 > 43(3): 520-525

YANG Xiaohui, ZHOU Lingyu, LIU Ning, MENG Xianyu. Prediction Model for Subsurface Damage in Grinding of Optical Glass and Doe Experiment Design[J]. Mechanical Science and Technology for Aerospace Engineering, 2024, 43(3): 520-525. doi: 10.13433/j.cnki.1003-8728.20220242

Citation:

YANG Xiaohui, ZHOU Lingyu, LIU Ning, MENG Xianyu. Prediction Model for Subsurface Damage in Grinding of Optical Glass and Doe Experiment Design[J]. Mechanical Science and Technology for Aerospace Engineering, 2024, 43(3): 520-525. doi: 10.13433/j.cnki.1003-8728.20220242

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Prediction Model for Subsurface Damage in Grinding of Optical Glass and Doe Experiment Design

doi: 10.13433/j.cnki.1003-8728.20220242

YANG Xiaohui^1
,,
ZHOU Lingyu²,
LIU Ning¹,
MENG Xianyu^{1, 2, 3
,
,}

1.
College of Electrical and Mechanical, Changchun Vocational Institute of Technology, Changchun 130022, China
2.
Vitesco Technologies Electronics (Changchun) Co., Ltd., Changchun 130022, China
3.
Changchun University Of Science And Technology, Changchun 130022, China

Received Date: 2020-08-27
Publish Date: 2024-03-25

Abstract

Abstract

In order to master the optical glass cup wheel grinding and surface roughness (SR) and subsurface damage (SSD) mechanism, the prediction model for surface roughness of BK7 optical glass in grinding of cup wheel is established, and the influence on the surface roughness is studied by changing the grinding parameters. The DOE experiment is designed to study the significant characteristic factors affecting the SR and SSD, and the interaction among the different factors has been analyzed. The experimental results have shown that the prediction model is reliable, and the average error between the prediction and the experimental results of surface roughness obtained is 5.47%. The surface crack is observed and its depth is measured via electron microscope by using the angle polishing method. Finally, a novel prediction model for subsurface damage by using the grinding parameters is established based on the Li model. The results have shown that the results of experiment model are in a good agreement with those results by using the prediction model, the average error between the predicted and experimental results is 6.19%, and the results via the novel prediction model are better than that via Li model.
- surface roughness,
- subsurface damage,
- BK7 optical glass,
- prediction model,
- cup wheel grinding,
- DOE experiment design

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References(18)

References

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