Simulation and Material Removal Modeling of Abrasive Air Jet Erosion
Abrasive jets are commonly employed to remove damaged organic coatings. To ensure surface processing quality and enhance the predictability of abrasive jet erosion, it is crucial to quantitatively analyze the erosion process and establish an erosion model. An abrasive air jet experimental platform was designed, and erosion simulation analysis revealed that the primary factors influencing the erosion rate are abrasive velocity and jet angle. An orthogonal central composite experiment featuring 5 factors and 4 levels was devised, and a fitting model was constructed based on the experimental results. As jet pressure and abrasive mesh size increase, material removal also rises; however, an increase in jet angle and workpiece movement speed results in reduced material removal. Meanwhile, with an increase in jet distance, material removal initially rises and then falls, peaking at approximately 40mm. By comparing experimental and predicted values, the maximum absolute deviation was 9.61mm<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sup> and the average deviation was 3.92mm<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sup>, demonstrating that the model effectively captures how various process parameters influence material removal, confirming its efficacy.
Authors
- Qingyu Xu (ORCID: https://orcid.org/0000-0003-2692-5135)
- Kaiwei Ma (ORCID: https://orcid.org/0000-0003-1649-6736)
- Pengbo Zhao (ORCID: https://orcid.org/0000-0002-7064-152X)
- Tianguang Gong (ORCID: https://orcid.org/0009-0002-7736-6150)
- Fengyu Xu (ORCID: https://orcid.org/0000-0002-1889-0318)
Institutions
- Nanjing University of Posts and Telecommunications (CN)
Publication Details
- Published
- 2024-11-01
- DOI
- https://doi.org/10.1109/cac63892.2024.10864676
- Primary Topic
- Erosion and Abrasive Machining
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- China Postdoctoral Science Foundation