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Correcting shape error located in cut-in/cut-out region in abrasive water jet cutting process

  • Ming Chen
  • Shijin ZhangEmail author
  • Jay Zeng
  • Binghai Chen
Open Access
ORIGINAL ARTICLE
  • 31 Downloads

Abstract

With the application of the 5-axis abrasive water jet (AWJ) machining center, some shape errors, such as cock tail striation, taper, etc., have been removed successfully, and the cutting precision has been improved greatly. However, the shape error located in the cut-in/cut-out region is still a big issue in AWJ cutting process. It often leads to the result that parts cut by AWJ becomes unacceptable. Based on theoretical analysis of the shape error in this region, it is found that the mathematical model used in 5-axis AWJ machining to compensate taper is often built on cutting data within normal cutting speed range. Therefore, the mathematical model becomes inaccurate in cut-in/cut-out regions, where very low cutting speeds are used. To solve this issue, a method of adding an extra nozzle tilting angle is proposed in this paper. This method has been proved to be effective through a series of experiments. With this method, the cutting precision could be improved not only in cut-in/cut-out regions, but also in corner regions where very low cutting speeds are used.

Keywords

Abrasive water jet (AWJ) Lead-in/lead-out Cut-in/cut-out region Shape error correction method Taper adjusting coefficient 

Notes

Funding information

This research was supported by the National Natural Science Foundation of China (51675320).

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Copyright information

© The Author(s) 2018

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Authors and Affiliations

  • Ming Chen
    • 1
  • Shijin Zhang
    • 1
    Email author
  • Jay Zeng
    • 2
  • Binghai Chen
    • 1
  1. 1.Shanghai Key Lab of Intelligent Manufacturing and Robotic, School of Mechatronic Engineering and AutomationShanghai UniversityShanghaiChina
  2. 2.LionsTek Co., Ltd.ShanghaiChina

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