Articles | Volume 15, issue 2
https://doi.org/10.5194/ms-15-567-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/ms-15-567-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
10 Oct 2024
Research article |
| 10 Oct 2024
| 10 Oct 2024
Classification of drilling surface roughness on computer numerical control (CNC) machine tools based on Mobilenet_v3_small_improved
School of Mechanical Engineering, Zhejiang Sci-Tech University, Hangzhou 310018, China
Wang Peng
School of Mechanical Engineering, Zhejiang Sci-Tech University, Hangzhou 310018, China
Jiajun Tu
Faculty of Intelligent Manufacturing, Jiaxing Vocational & Technical College, Jiaxing 314000, China
Wenyu Wang
Hangzhou Datian CNC Machine Tool Co., Ltd., Hangzhou 311251, China
Haijun Zhao
Hangzhou Datian CNC Machine Tool Co., Ltd., Hangzhou 311251, China
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Gulfam Ul Rehman, Syed Husain Imran Jaffery, Mushtaq Khan, Liaqat Ali, Ashfaq Khan, and Shahid Ikramullah Butt
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Leilei Zhao, Hutian Feng, and Jun Jin
Mech. Sci., 9, 221–230, https://doi.org/10.5194/ms-9-221-2018, https://doi.org/10.5194/ms-9-221-2018, 2018
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Leilei Zhao, Hutian Feng, and Qianfeng Rong
Mech. Sci., 9, 15–24, https://doi.org/10.5194/ms-9-15-2018, https://doi.org/10.5194/ms-9-15-2018, 2018
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An automatic, non-contact measuring system for the thread profile of a ball screw was developed. It is capable of measuring most common features of the ball screw thread profile and can measure ball screws of different sizes and lengths. The accuracy of the measuring system was verified by comparing the image from the system with the image from the reference instrument and then, different ball screws were compared and evaluated, which was the main purpose of designing such a measuring system.
Ali Tolga Bozdana and Nazar Kais Al-Karkhi
Mech. Sci., 8, 289–298, https://doi.org/10.5194/ms-8-289-2017, https://doi.org/10.5194/ms-8-289-2017, 2017
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This work investigates the effect of electrode geometry on flushing capability and debris removal efficiency in Electrical Discharge Drilling process. Drilling operations on stainless steel 304 were performed using circular and side-cut electrodes. Experimental results were compared with respect to drilling performance as well as dimensional accuracy and surface quality of drilled holes. Three-phase three-dimensional CFD models were also developed to analyze the flow field at interelectrode gap.
Jieqiong Lin, Xian Jing, Mingming Lu, Yan Gu, and Jinguo Han
Mech. Sci., 8, 215–220, https://doi.org/10.5194/ms-8-215-2017, https://doi.org/10.5194/ms-8-215-2017, 2017
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The formation principle of 3-D cutting elliptical trajectory was analysed and a prediction model of tool wear was established in the present work. Besides, a self-developed three-dimensional elliptical vibration device was employed to conduct turning experiment. Compared with the proposed model, the experimental results showed a great agreement with the proposed prediction model. This work may provide a reference for the further optimization of the 3-D elliptical vibration cutting parameters.
D. Trimble, H. Mitrogiannopoulos, G. E. O'Donnell, and S. McFadden
Mech. Sci., 6, 51–55, https://doi.org/10.5194/ms-6-51-2015, https://doi.org/10.5194/ms-6-51-2015, 2015
S. den Dunnen and G. J. M. Tuijthof
Mech. Sci., 5, 53–58, https://doi.org/10.5194/ms-5-53-2014, https://doi.org/10.5194/ms-5-53-2014, 2014
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Short summary
A prediction model for surface roughness classification of computer numerical control drills based on fusion of local time–frequency features and global time–frequency features of the Mobilenet_v3_small model is proposed. Correct rates of the training set, validation set, and test set are 85.2%, 84%, and 85.4%. Compared with industrial lightweight network models, this model improved the correctness rates on the training set, validation set, and test set by about 10%, 9%, and 13%, respectively.
A prediction model for surface roughness classification of computer numerical control drills...
