journal article·2026-01-21

Reducing the Surface Roughness of 304 Stainless Steel Powder Bed Fusion Manufactured Oil Granting Nozzles Through Polishing with Low Melting Point Alloy: Numerical Simulation and Parameter Optimization

Haijian Pei, Zhang Yi

Publisher page

Abstract

Aiming at the finishing machining difficulties of metal parts with internal cavity walls and apertures in the equipment manufacturing industry, the study proposes a polishing method with In 21 Sn 12 Bi 49 Pb 18 low-melting-point alloy abrasive. First, the oil-granting nozzle made of 304 stainless steel powder bed fusion technology is taken as the research object, and four key parameters, namely, pressure of inlet, kinematic viscosity, strength of magnetic, and system temperature, are introduced by combining numerical simulation of computational fluid dynamics and orthogonal experiment. The results of the study show that the optimal combination of processing parameters is the kinematic viscosity of 1.5 Pa·s, magnetic field strength of 40 A/m, inlet pressure of 4 MPa, and system temperature of 80°C. Under the optimal processing parameters, the surface roughness in the region for the oil-granting nozzle’s small hole region was reduced to the level of 0.13 μm.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Advanced Surface Polishing Techniques · Advanced machining processes and optimization · Erosion and Abrasive Machining

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Mechanical Engineering, Xijing University, Xi’an, China.

Funding

Haijian Pei

References (44)

Show source-provided references
1. 10.1177/0954406222111529110.1177/09544062221115291 ↗
2. 10.1016/j.procir.2018.05.04610.1016/j.procir.2018.05.046 ↗
3. 10.1016/j.jmatprotec.2019.11626210.1016/j.jmatprotec.2019.116262 ↗
4. 10.1108/RPJ-01-2021-001310.1108/RPJ-01-2021-0013 ↗
5. 10.1038/s41467-022-28649-210.1038/s41467-022-28649-2 ↗
6. 10.1038/s41578-020-00236-110.1038/s41578-020-00236-1 ↗
7. 10.1364/AO.49454710.1364/AO.494547 ↗
8. 10.1007/s00170-022-09501-910.1007/s00170-022-09501-9 ↗
9. 10.1007/s00170-022-08663-w10.1007/s00170-022-08663-w ↗
10. 10.1016/j.jmapro.2021.04.00210.1016/j.jmapro.2021.04.002 ↗
11. 10.1007/s10346-021-01842-y10.1007/s10346-021-01842-y ↗
12. 10.1016/j.jmapro.2022.05.01810.1016/j.jmapro.2022.05.018 ↗
13. 10.1007/s00170-022-09934-210.1007/s00170-022-09934-2 ↗
14. 10.1007/s00170-021-08312-810.1007/s00170-021-08312-8 ↗
15. 10.1016/j.jmapro.2021.03.04510.1016/j.jmapro.2021.03.045 ↗
16. 10.1007/s00170-022-09664-510.1007/s00170-022-09664-5 ↗
17. 10.1007/s00170-021-07384-w10.1007/s00170-021-07384-w ↗
18. 10.1109/TSM.2022.314105310.1109/TSM.2022.3141053 ↗
19. 10.1007/s00170-022-09540-210.1007/s00170-022-09540-2 ↗
20. 10.1002/adem.20200110910.1002/adem.202001109 ↗
21. 10.1016/j.biosystemseng.2021.04.00310.1016/j.biosystemseng.2021.04.003 ↗
22. 10.1016/j.jmapro.2022.06.03810.1016/j.jmapro.2022.06.038 ↗
23. 10.3390/met1208132810.3390/met12081328 ↗
24. 10.1016/j.ceramint.2022.02.25910.1016/j.ceramint.2022.02.259 ↗
25. 10.1007/s40964-021-00190-610.1007/s40964-021-00190-6 ↗
26. 10.1108/rpj-09-2020-022710.1108/rpj-09-2020-0227 ↗
27. 10.1016/j.corsci.2022.11086010.1016/j.corsci.2022.110860 ↗
28. 10.1016/j.apsusc.2023.15733410.1016/j.apsusc.2023.157334 ↗
29. 10.1007/s10854-022-07771-310.1007/s10854-022-07771-3 ↗
30. 10.1016/j.matchar.2021.11130410.1016/j.matchar.2021.111304 ↗
31. 10.1021/acssuschemeng.1c0756010.1021/acssuschemeng.1c07560 ↗
32. 10.1016/j.cej.2022.13505510.1016/j.cej.2022.135055 ↗
33. 10.1016/j.msea.2022.14344510.1016/j.msea.2022.143445 ↗
34. 10.1016/j.jmatprotec.2021.11742010.1016/j.jmatprotec.2021.117420 ↗
35. 10.1016/j.cja.2020.05.00210.1016/j.cja.2020.05.002 ↗
36. 10.1016/j.measurement.2021.10951210.1016/j.measurement.2021.109512 ↗
37. 10.1016/j.jmapro.2021.03.00910.1016/j.jmapro.2021.03.009 ↗
38. 10.1016/j.precisioneng.2020.09.00910.1016/j.precisioneng.2020.09.009 ↗
39. 10.1007/s00170-022-09213-010.1007/s00170-022-09213-0 ↗
40. 10.1016/j.cag.2022.12.00710.1016/j.cag.2022.12.007 ↗
41. 10.1016/j.csite.2021.10148310.1016/j.csite.2021.101483 ↗
42. 10.1016/j.matdes.2022.11137510.1016/j.matdes.2022.111375 ↗
43. 10.1016/j.jallcom.2021.16220010.1016/j.jallcom.2021.162200 ↗
44. 10.3390/app1107304910.3390/app11073049 ↗