Abstract
Abrasive water jet technology, as a non-traditional machining process, impinges on the workpiece surface with
abrasive particles driven by the water jet beam to achieve material removal or surface modification. The abrasive
particle distribution is the key factor affecting on the process quality, especially for Abrasive Water Jet Peening
(AWJP) process. However, there is still limited research on the abrasive particle distribution in the AWJP process,
especially regarding the distribution under variable traverse speeds and variable curvature movements of
the abrasive water jet beam, which forms the basis for controlling abrasive water jet coverage, particularly on
curved surfaces. In this study, an abrasive particle distribution prediction model is proposed for AWJP under
different pump pressures, variable traverse speeds (accelerations), and various curvature radius by combining
finite element and analytical modeling approaches. Validation experiments were conducted, and both simulation
and experimental results under different parameters follow Gaussian distributions. The maximum prediction
error was only 18.6 % across 24 comparisons from 15 experimental sets, confirming the feasibility and accuracy
of the proposed model. Meanwhile, the influence of these three parameters on abrasive particle distribution laws
is investigated respectively through comparisons between simulation and experimental results. The findings
reveal that pump pressure primarily affects abrasive particle velocity and position distribution; traverse speed
mainly influences abrasive particle position distribution and the percentage of particles at the central region;
curvature radius predominantly affects the midline position of the abrasive particle distribution curve. This study
not only provide a deep understanding of abrasive particle distribution laws under varying pump pressures,
traverse speeds, and curvature radii, but the proposed model also offers valuable guidance for achieving uniform
abrasive particle coverage on free-form surfaces during AWJP.
abrasive particles driven by the water jet beam to achieve material removal or surface modification. The abrasive
particle distribution is the key factor affecting on the process quality, especially for Abrasive Water Jet Peening
(AWJP) process. However, there is still limited research on the abrasive particle distribution in the AWJP process,
especially regarding the distribution under variable traverse speeds and variable curvature movements of
the abrasive water jet beam, which forms the basis for controlling abrasive water jet coverage, particularly on
curved surfaces. In this study, an abrasive particle distribution prediction model is proposed for AWJP under
different pump pressures, variable traverse speeds (accelerations), and various curvature radius by combining
finite element and analytical modeling approaches. Validation experiments were conducted, and both simulation
and experimental results under different parameters follow Gaussian distributions. The maximum prediction
error was only 18.6 % across 24 comparisons from 15 experimental sets, confirming the feasibility and accuracy
of the proposed model. Meanwhile, the influence of these three parameters on abrasive particle distribution laws
is investigated respectively through comparisons between simulation and experimental results. The findings
reveal that pump pressure primarily affects abrasive particle velocity and position distribution; traverse speed
mainly influences abrasive particle position distribution and the percentage of particles at the central region;
curvature radius predominantly affects the midline position of the abrasive particle distribution curve. This study
not only provide a deep understanding of abrasive particle distribution laws under varying pump pressures,
traverse speeds, and curvature radii, but the proposed model also offers valuable guidance for achieving uniform
abrasive particle coverage on free-form surfaces during AWJP.
| Original language | English |
|---|---|
| Pages (from-to) | 135-155 |
| Journal | CIRP Journal of Manufacturing Science and Technology |
| Volume | 63 |
| Publication status | Published - 9 Sept 2025 |