Wu, L.; Sha, K.; Tao, Y.; Ju, B.; Chen, Y.
A Hybrid Deep Learning Model as the Digital Twin of Ultra-Precision Diamond Cutting for In-Process Prediction of Cutting-Tool Wear. Appl. Sci. 2023, 13, 6675.
https://doi.org/10.3390/app13116675
AMA Style
Wu L, Sha K, Tao Y, Ju B, Chen Y.
A Hybrid Deep Learning Model as the Digital Twin of Ultra-Precision Diamond Cutting for In-Process Prediction of Cutting-Tool Wear. Applied Sciences. 2023; 13(11):6675.
https://doi.org/10.3390/app13116675
Chicago/Turabian Style
Wu, Lei, Kaijie Sha, Ye Tao, Bingfeng Ju, and Yuanliu Chen.
2023. "A Hybrid Deep Learning Model as the Digital Twin of Ultra-Precision Diamond Cutting for In-Process Prediction of Cutting-Tool Wear" Applied Sciences 13, no. 11: 6675.
https://doi.org/10.3390/app13116675
APA Style
Wu, L., Sha, K., Tao, Y., Ju, B., & Chen, Y.
(2023). A Hybrid Deep Learning Model as the Digital Twin of Ultra-Precision Diamond Cutting for In-Process Prediction of Cutting-Tool Wear. Applied Sciences, 13(11), 6675.
https://doi.org/10.3390/app13116675