TY - JOUR
T1 - Modelling of surface morphology and roughness in fluid jet polishing
AU - Zhang, Zili
AU - Cheung, Chi Fai
AU - Wang, Chunjin
AU - Guo, Jiang
N1 - Funding Information:
The work described in this paper was mainly supported by a grant from the Research Grants Council of the Government of the Hong Kong Special Administrative Region, China (Project No. 15200119), the financial support from the Guangdong Natural Science Foundation Program 2019–2020 (Project No.: 2019A1515012015), the Research Office of The Hong Kong Polytechnic University (Project code: BD9B and BBXL) and the research studentships (Project codes: RK3M). In addition, the authors would also like to express their sincere thanks to the funding support from International Partnership Scheme of the Bureau of the International Scientific Cooperation of the Chinese Academy of Sciences (Project No.: 181722KYSB20180015).
Publisher Copyright:
© 2022 Elsevier Ltd
PY - 2023/3/15
Y1 - 2023/3/15
N2 - Fluid jet polishing (FJP) has been extensively used in various kinds of fields such as precision molding, optical components, etc. However, previous works mainly focused on the material removal process on the macro-scale (e.g., tool influence function, surface generation) to improve the form accuracy, the understanding of surface morphology evolution of FJP on the micro-scale is still far from complete, which makes it difficult to predict the surface quality under certain polishing conditions. Time-consuming and high-cost trial and error are usually needed to obtain suitable polishing conditions for specific surface quality requirements. In this paper, a physical model was developed to predict the surface morphology and roughness after FJP, by combining the computational fluid dynamics (CFD) simulation and kinetic analysis of the abrasives. The single abrasive erosion process including indentation action, ploughing action, and cutting action was analyzed by kinetic analysis. Besides, the overlap of single abrasive erosion pits was modeled to simulate the surface morphology evolution in FJP and determine the surface roughness after polishing. Different parameters were considered in the model including jet pressure, jet angle, and abrasive size. A series of polishing experiments were conducted to validate this model and the effect of different polishing parameters on surface quality was elucidated by the impact velocity distribution and erosion morphologies. It is found that the simulation results agree well with the experimental results. This paper not only provides a deeper understanding of the microscale material removal in FJP, but also provides an effective method for the prediction of surface roughness in FJP.
AB - Fluid jet polishing (FJP) has been extensively used in various kinds of fields such as precision molding, optical components, etc. However, previous works mainly focused on the material removal process on the macro-scale (e.g., tool influence function, surface generation) to improve the form accuracy, the understanding of surface morphology evolution of FJP on the micro-scale is still far from complete, which makes it difficult to predict the surface quality under certain polishing conditions. Time-consuming and high-cost trial and error are usually needed to obtain suitable polishing conditions for specific surface quality requirements. In this paper, a physical model was developed to predict the surface morphology and roughness after FJP, by combining the computational fluid dynamics (CFD) simulation and kinetic analysis of the abrasives. The single abrasive erosion process including indentation action, ploughing action, and cutting action was analyzed by kinetic analysis. Besides, the overlap of single abrasive erosion pits was modeled to simulate the surface morphology evolution in FJP and determine the surface roughness after polishing. Different parameters were considered in the model including jet pressure, jet angle, and abrasive size. A series of polishing experiments were conducted to validate this model and the effect of different polishing parameters on surface quality was elucidated by the impact velocity distribution and erosion morphologies. It is found that the simulation results agree well with the experimental results. This paper not only provides a deeper understanding of the microscale material removal in FJP, but also provides an effective method for the prediction of surface roughness in FJP.
KW - Computational fluid dynamics
KW - Fluid jet polishing
KW - Simulation
KW - Surface morphology evolution
KW - Surface roughness
KW - Ultra-precision machining
UR - http://www.scopus.com/inward/record.url?scp=85143817522&partnerID=8YFLogxK
U2 - 10.1016/j.ijmecsci.2022.107976
DO - 10.1016/j.ijmecsci.2022.107976
M3 - Journal article
AN - SCOPUS:85143817522
SN - 0020-7403
VL - 242
JO - International Journal of Mechanical Sciences
JF - International Journal of Mechanical Sciences
M1 - 107976
ER -