Crack Forms Sensitivity-Based Prediction on Subsurface Cracks Depth in Ultrasonic-Vibration-Assisted Grinding of Optical Glasses
Subsurface cracks in ultrasonic-vibration-assisted grinding (UVAG) of optical glasses often exhibit diverse forms and proportions. Due to the variety of loads involved in crack formation and propagation, the crack forms and propagation depths have different sensitivities to each process parameter. P...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021-08-01
|
| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/11/16/7553 |
| _version_ | 1797524744989310976 |
|---|---|
| author | Peiyi Zhao Lei Zhang Xianli Liu |
| author_facet | Peiyi Zhao Lei Zhang Xianli Liu |
| author_sort | Peiyi Zhao |
| collection | DOAJ |
| description | Subsurface cracks in ultrasonic-vibration-assisted grinding (UVAG) of optical glasses often exhibit diverse forms and proportions. Due to the variety of loads involved in crack formation and propagation, the crack forms and propagation depths have different sensitivities to each process parameter. Predicting the maximum subsurface cracks depth (MSSCD) by considering the varying effects of process parameters plays a key role in implementing effective control of the UVAG process. In this work, the subsurface crack forms and their proportions are investigated by conducting 40 sets of UVAG experiments. The varying effects of the grinding and ultrasonic parameters on the crack form proportions are unveiled by using grey relational analysis. The weighted least square support vector machine (WLS-SVM) prediction model for the MSSCD was developed. Twelve sets of UVAG experiments were carried out to validate the proposed model. The results show that arc-shaped cracks and bifurcated cracks account for 72.5% of all cracks, while ultrasonic vibration amplitude influences most of the proportions of arc-shaped and bifurcated cracks. Compared to other widely used prediction methods, the maximum and average relative prediction errors of the proposed model are 10.54% and 5.59%, respectively, which proves the high prediction accuracy of the model. |
| first_indexed | 2024-03-10T09:01:53Z |
| format | Article |
| id | doaj.art-ef99d28b4ae947588f6cedcabe377002 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T09:01:53Z |
| publishDate | 2021-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-ef99d28b4ae947588f6cedcabe3770022023-11-22T06:43:22ZengMDPI AGApplied Sciences2076-34172021-08-011116755310.3390/app11167553Crack Forms Sensitivity-Based Prediction on Subsurface Cracks Depth in Ultrasonic-Vibration-Assisted Grinding of Optical GlassesPeiyi Zhao0Lei Zhang1Xianli Liu2School of Mechanical and Power Engineering, Harbin University of Science and Technology, Harbin 150080, ChinaSchool of Mechanical and Power Engineering, Harbin University of Science and Technology, Harbin 150080, ChinaSchool of Mechanical and Power Engineering, Harbin University of Science and Technology, Harbin 150080, ChinaSubsurface cracks in ultrasonic-vibration-assisted grinding (UVAG) of optical glasses often exhibit diverse forms and proportions. Due to the variety of loads involved in crack formation and propagation, the crack forms and propagation depths have different sensitivities to each process parameter. Predicting the maximum subsurface cracks depth (MSSCD) by considering the varying effects of process parameters plays a key role in implementing effective control of the UVAG process. In this work, the subsurface crack forms and their proportions are investigated by conducting 40 sets of UVAG experiments. The varying effects of the grinding and ultrasonic parameters on the crack form proportions are unveiled by using grey relational analysis. The weighted least square support vector machine (WLS-SVM) prediction model for the MSSCD was developed. Twelve sets of UVAG experiments were carried out to validate the proposed model. The results show that arc-shaped cracks and bifurcated cracks account for 72.5% of all cracks, while ultrasonic vibration amplitude influences most of the proportions of arc-shaped and bifurcated cracks. Compared to other widely used prediction methods, the maximum and average relative prediction errors of the proposed model are 10.54% and 5.59%, respectively, which proves the high prediction accuracy of the model.https://www.mdpi.com/2076-3417/11/16/7553ultrasonic-vibration-assisted grindingoptical glasssubsurface crackcrack formssupport vector machine |
| spellingShingle | Peiyi Zhao Lei Zhang Xianli Liu Crack Forms Sensitivity-Based Prediction on Subsurface Cracks Depth in Ultrasonic-Vibration-Assisted Grinding of Optical Glasses Applied Sciences ultrasonic-vibration-assisted grinding optical glass subsurface crack crack forms support vector machine |
| title | Crack Forms Sensitivity-Based Prediction on Subsurface Cracks Depth in Ultrasonic-Vibration-Assisted Grinding of Optical Glasses |
| title_full | Crack Forms Sensitivity-Based Prediction on Subsurface Cracks Depth in Ultrasonic-Vibration-Assisted Grinding of Optical Glasses |
| title_fullStr | Crack Forms Sensitivity-Based Prediction on Subsurface Cracks Depth in Ultrasonic-Vibration-Assisted Grinding of Optical Glasses |
| title_full_unstemmed | Crack Forms Sensitivity-Based Prediction on Subsurface Cracks Depth in Ultrasonic-Vibration-Assisted Grinding of Optical Glasses |
| title_short | Crack Forms Sensitivity-Based Prediction on Subsurface Cracks Depth in Ultrasonic-Vibration-Assisted Grinding of Optical Glasses |
| title_sort | crack forms sensitivity based prediction on subsurface cracks depth in ultrasonic vibration assisted grinding of optical glasses |
| topic | ultrasonic-vibration-assisted grinding optical glass subsurface crack crack forms support vector machine |
| url | https://www.mdpi.com/2076-3417/11/16/7553 |
| work_keys_str_mv | AT peiyizhao crackformssensitivitybasedpredictiononsubsurfacecracksdepthinultrasonicvibrationassistedgrindingofopticalglasses AT leizhang crackformssensitivitybasedpredictiononsubsurfacecracksdepthinultrasonicvibrationassistedgrindingofopticalglasses AT xianliliu crackformssensitivitybasedpredictiononsubsurfacecracksdepthinultrasonicvibrationassistedgrindingofopticalglasses |