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An approach for predicting groove cross-sectional profile in abrasive waterjet milling.

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Title: An approach for predicting groove cross-sectional profile in abrasive waterjet milling.
Authors: Yu, Yang1,2 (AUTHOR), Wang, Xuanping1,2 (AUTHOR) xpwang@dlut.edu.cn, Gao, Hang1,2 (AUTHOR), Guo, Xiaoguang1,2 (AUTHOR)
Source: International Journal of Advanced Manufacturing Technology. Feb2025, Vol. 136 Issue 11, p4865-4876. 12p.
Subjects: Dimensional analysis, Gaussian function, Geometric modeling, Prediction models, Statistical correlation
Abstract: Abrasive waterjet (AWJ) milling is an unconventional technique that can be flexibly applied to a variety of difficult-to-process materials. However, developing a controllable AWJ milling process remains a significant challenge. This paper attempts to develop a model for predicting the cross-sectional profile of the workpiece processed by AWJ, which can assist in the optimization of the milling process. The profile extracted from the experiment is digitized, and the groove coordinate system is established to quantitatively analyze its geometric characteristics. The results indicate the presence of a smooth arc transition at the bottom of the groove, and thus, the profile geometry model is constructed according to the Gaussian function and the position of the inflection point. Furthermore, the material removal mechanism of AWJ is investigated, and a profile prediction model based on operational parameters is derived through dimensional analysis. In the validation experiment, the prediction error of the model is less than 5%, and the correlation coefficient (R2) between the predicted contour and the extracted contour is approximately 0.99. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Advanced Manufacturing Technology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: An approach for predicting groove cross-sectional profile in abrasive waterjet milling.
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  Data: <searchLink fieldCode="AR" term="%22Yu%2C+Yang%22">Yu, Yang</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Xuanping%22">Wang, Xuanping</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> xpwang@dlut.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Gao%2C+Hang%22">Gao, Hang</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Guo%2C+Xiaoguang%22">Guo, Xiaoguang</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Advanced+Manufacturing+Technology%22">International Journal of Advanced Manufacturing Technology</searchLink>. Feb2025, Vol. 136 Issue 11, p4865-4876. 12p.
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  Data: <searchLink fieldCode="DE" term="%22Dimensional+analysis%22">Dimensional analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Gaussian+function%22">Gaussian function</searchLink><br /><searchLink fieldCode="DE" term="%22Geometric+modeling%22">Geometric modeling</searchLink><br /><searchLink fieldCode="DE" term="%22Prediction+models%22">Prediction models</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+correlation%22">Statistical correlation</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Abrasive waterjet (AWJ) milling is an unconventional technique that can be flexibly applied to a variety of difficult-to-process materials. However, developing a controllable AWJ milling process remains a significant challenge. This paper attempts to develop a model for predicting the cross-sectional profile of the workpiece processed by AWJ, which can assist in the optimization of the milling process. The profile extracted from the experiment is digitized, and the groove coordinate system is established to quantitatively analyze its geometric characteristics. The results indicate the presence of a smooth arc transition at the bottom of the groove, and thus, the profile geometry model is constructed according to the Gaussian function and the position of the inflection point. Furthermore, the material removal mechanism of AWJ is investigated, and a profile prediction model based on operational parameters is derived through dimensional analysis. In the validation experiment, the prediction error of the model is less than 5%, and the correlation coefficient (R2) between the predicted contour and the extracted contour is approximately 0.99. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of International Journal of Advanced Manufacturing Technology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1007/s00170-025-15111-y
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        Text: English
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        StartPage: 4865
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      – SubjectFull: Geometric modeling
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              M: 02
              Text: Feb2025
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              Y: 2025
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