Abstract
Precision polishing of aeroengine blades involves a complex material removal process, primarily due to the presence of numerous abrasive grains bonded on the polishing tool. Therefore, understanding the surface formation mechanism at the microscale, as a result of a single abrasive grain’s interaction with the workpiece, is pivotal for deciphering the collective effect of numerous abrasive actions. Since conducting single-grain cutting experiments at the microscale presents significant challenges, the finite element method (FEM) is considered an effective method for revealing microscopic physical phenomena and conducting in-depth research on cutting mechanisms. In this research, the simplified single-grain scratch experiment was conducted first, and then, the adaptive remeshing technique in Abaqus was utilized to simulate the elastic and plastic deformation of the workpiece surface during the polishing process, supplementing the physical measurement results that are difficult to achieve in the scratch experiment. The single-grain scratch experiment results show that elastic deformation of the workpiece material persists throughout the grain cutting process, and the elastic deformation FEM simulation results show that the pure rubbing phase is confined to an extremely short length after the interference occurs between the grain and the workpiece. To delve into the plastic deformation of workpiece surface in FEM simulation, the material pile-up ratio was used, and the effect of polishing variables such as cutting speed, cutting depth, and grain size on microscopic surface creation was focused on. Among them, cutting depth and grain size significantly affect the surface creation of workpiece material. In addition, the microscopic plastic deformation when the abrasive grain cut-in and cut-out phases during the polishing process is different. The outcomes of these simulations are anticipated to inform future experimental strategies and foster advancements in the development of more efficient and precise aeroengine blade polishing techniques.
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The datasets analyzed during the current study are available from the corresponding author on reasonable request.
References
Zhang B, Wu S, Wang D, Yang S, Jiang F, Li C (2023) A review of surface quality control technology for robotic abrasive belt grinding of aero-engine blades. Measurement 220(113381):1–34. https://doi.org/10.1016/j.measurement.2023.113381
Chen Z, Shi Y, Lin X, Yu T, Zhao P, Kang C, He X, Li H (2019) Analysis and optimization of process parameter intervals for surface quality in polishing Ti-6Al-4V blisk blade. Results Phys 12:870–877. https://doi.org/10.1016/j.rinp.2018.12.056
Setti D, Kirsch B, Aurich J (2019) Experimental investigations and kinematic simulation of single grit scratched surfaces considering pile-up behaviour: grinding perspective. Int J Adv Manuf Technol 103:471–485. https://doi.org/10.1007/s00170-019-03522-7
Pandiyan V, Tjahjowidodo T (2019) Use of acoustic emissions to detect change in contact mechanisms caused by tool wear in abrasive belt grinding process. Wear 436:203047. https://doi.org/10.1016/j.wear.2019.203047
Dai C, Ding W, Xu J, Fu Y, Yu T (2017) Influence of grain wear on material removal behavior during grinding nickel-based superalloy with a single diamond grain. Int J Mach Tool Manu 113:49–58. https://doi.org/10.1016/j.ijmachtools.2016.12.001
He Z, Li J, Liu Y, Yan J (2020) Single-grain cutting based modeling of abrasive belt wear in cylindrical grinding. Friction 8:208–220. https://doi.org/10.1007/s40544-019-0281-7
Yang Z, Xu X, Zhu D, Yan S, Ding H (2019) On energetic evaluation of robotic belt grinding mechanisms based on single spherical abrasive grain model. Int J Mach Tool Manu 104:4539–4548. https://doi.org/10.1007/s00170-019-04222-y
Wang L, Yue C, Liu X, Li M, Xu Y, Liang S (2024) Conventional and micro scale finite element modeling for metal cutting process: a review. Chin J Aeronaut 37(2):199–232. https://doi.org/10.1016/j.cja.2023.03.004
Chen H, Cai L (2019) A universal elastic-plastic model correlating load-displacement relation and constitutive parameters for typical testing components. Results Phys 13:102230. https://doi.org/10.1016/j.rinp.2019.102230
Chen X, Opoz T, Oluwajobi A (2017) Analysis of grinding surface creation by single grit approach. J Manuf Sci Eng 139(12):1–10. https://doi.org/10.1115/1.4037992
He Q, Sun S, Wang X, Qu X, Zhao J (2019) Research on simulation of abrasive belt polishing process for blade finishing. IOP Conf Ser: Mater Sci Eng 504(1):12061. https://doi.org/10.1088/1757-899X/504/1/012061
Yang C, Huang J, Xu J, Ding W, Fu Y, Gao S (2021) Investigation on formation mechanism of the burrs during abrasive reaming based on the single-particle abrasive micro-cutting behavior. Int J Adv Manuf Technol 113:907–921. https://doi.org/10.1007/s00170-021-06687-2
Zhu T, Cai M, Gong Y, Gao X, Yu N, Li X (2022) Study on chip formation in grinding of nickel-based polycrystalline superalloy GH4169. Int J Adv Manuf Technol 121(1):1135–1148. https://doi.org/10.1007/s00170-022-09386-8
Wang H, Zhao K, Chu X, Zhao B, Gao J (2019) Constitutive modelling and microscopic analysis of TC4 alloy sheet at elevated temperature. Results Phys 13:102332. https://doi.org/10.1016/j.rinp.2019.102332
Kapłonek W, Nadolny K, Królczyk GM (2016) The use of focus-variation microscopy for the assessment of active surfaces of a new generation of coated abrasive tools. Meas Sci Rev 16(2):42–53. https://doi.org/10.1515/msr-2016-0007
Giusca CL, Claverley JD, Sun W, Leach RK, Helmli F, Chavigner MP (2014) Practical estimation of measurement noise and flatness deviation on focus variation microscopes. CIRP Ann 63(1):545–548. https://doi.org/10.1016/j.cirp.2014.03.086
Du Y, You X, Qiao F, Guo L, Liu Z (2019) A model for predicting the temperature field during selective laser melting. Results Phys 12:52–60. https://doi.org/10.1016/j.rinp.2018.11.031
Wu W, Wang Y, Tao P, Li X, Gong J (2018) Cohesive zone modeling of hydrogen-induced delayed intergranular fracture in high strength steels. Results Phys 11:591–598. https://doi.org/10.1016/j.rinp.2018.10.001
He J, Yan J, Margulies S, Coats B, Spear AD (2020) An adaptive-remeshing framework to predict impact-induced skull fracture in infants. Biom Model Mecha 19:1595–1605. https://doi.org/10.1007/s10237-020-01293-9
Wang Y, Zeng X, Chen H, Yang X, Wang F, Zeng L (2021) Modified Johnson-Cook constitutive model of metallic materials under a wide range of temperatures and strain rates. Results Phys 27:104498. https://doi.org/10.1016/j.rinp.2021.104498
Angus A, Yahia L, Maione R, Khala M, Hare C, Ozel A, Ocone R (2020) Calibrating friction coefficients in discrete element method simulations with shear-cell experiments. Powd Tech 372:290–304. https://doi.org/10.1016/j.powtec.2020.05.079
Funding
Scientific Research Program Funded by Shaanxi Provincial Education Department [No. 23JK0495, No. 23JP124], Natural Science Basic Research Program of Shaanxi [No. 2024JC-YBMS-437, No. 2023JCYB-431, No. 2023JCYB-080], Doctoral Research Start-Up Fund of Xi’an Aeronautical Institute [No. 2021KY0216], the Aeronautical Science Fund (No. 2020Z045053001), the Youth Innovation Team of Shaanxi University (2022), the Scientific Research Fund of Xi’an Mingde Institute of Technology (No. 2022XY02L04), the Pedagogical Reform and Research Fund of the Xi’an Mingde Institute of Technology (No. JG2022ZD03), and University-Industry Collaborative Education Program (No. 220906280183841).
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Conceptualization: Zhen Chen and Yaoyao Shi; methodology: Zhen Chen and Rui Yan; investigation and data analysis: Pan Zhao, Guoliang Tian, and Mo Yang; writing—original draft preparation: Zhen Chen and Rui Yan; writing—review and editing: Pan Zhao; funding acquisition: Zhen Chen, Rui Yan, and Pan Zhao.
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Chen, Z., Zhao, P., Yan, R. et al. Quantitative finite element analysis of microscopic surface formation for TC4 aeroengine blade polishing using single-grain method. Int J Adv Manuf Technol 132, 2941–2955 (2024). https://doi.org/10.1007/s00170-024-13515-w
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DOI: https://doi.org/10.1007/s00170-024-13515-w