Abstract
To determine the relationship between the pulse current and the physicochemical properties of multi-time scales, a method of multi-time scale simulation is introduced to investigate multi-time scale evolution of temperature and void fraction in PECM process. A multi-time scale iterations method is introduced to reduce computation time of multi-time scale simulation. Simulation results indicate that the method is efficient and pulse current can make the PECM process more stable. Experimental results show that the multi-time scale simulation results can well match the actual machining results, especially in the middle section of the workpiece.
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References
Weber O, Natter H, Bähre D (2015) Pulse electrochemical machining of cast iron: a layer-based approach for modeling the steady-state dissolution current. J Solid State Electrochem 19:1265–1276
Zhu D, Gu ZZ, Xue TY, Liu A (2017) Simulation and experimental investigation on a dynamic lateral flow mode in trepanning electrochemical machining. Chin J Aeronaut 30(4):1624–1630
Wang DY, Li JZ, He B, Zhu D (2019) Analysis and control of inter-electrode gap during leveling process in counter-rotating electrochemical machining. Chin J Aeronaut 32(11):2557–2565
Rajurkar KP, Wei B, Kozak J (1995) Modelling and monitoring interelectrode gap in pulse electrochemical machining. CIRP Ann Manuf Technol 44(1):177–180
Kozak J, Rajurkar KP, Wei B (1994) Modeling and analysis of pulse electrochemical machining. J Eng Ind 116(3):316–323
Kozak J (2004) Thermal models of pulse electrochemical machining. Bull Pol Acad Sci: Tech Sci 52(4):313–320
Kozak J (2013) Simulation of electrochemical shaping of airfoils using continuous and pulse current. In: Ao SI, Douglas C, Grundfest WS, Burgstone J (eds) Proceedings of the world congress on engineering and computer science. USA, San Francisco, pp 23–25
Smets N, Van Damme S, De Wilde D, Weyns G, Deconinck J (2007) Calculation of temperature transients in pulse electrochemical machining (PECM). J Appl Electrochem 37(3):315–324
Smets N, Van Damme S, De Wilde D, Weyns G, Deconinck J (2007) Time averaged temperature calculations in pulse electrochemical machining, part I: theoretical basis. J Appl Electrochem 37(11):1345–1355
Smets N, Van Damme S, De Wilde D, Weyns G, Deconinck J (2008) Time averaged temperature calculations in pulse electrochemical machining, part II: numerical simulation. J Appl Electrochem 38(4):551–560
Smets N, Van Damme S, De Wilde D, Weyns G, Deconinck J (2010) Time averaged temperature calculations in pulse electrochemical machining, using a strongly non-linear model. J Appl Electrochem 40(7):1395–1405
Chen YL, Fang M, Jiang LJ (2017) Multiphysics simulation of the material removal process in pulse electrochemical machining (PECM). Int J Adv Manuf Technol 91(5–8):2455–2464
Thorpe JF, Zerkle RD (1969) Analytic determination of the equilibrium gap in electrochemical machining. Int J Mach Tool Des Res 9(2):131–144
Shives M, Crawford C (2016) Adapted two-equation turbulence closures for actuator disk RANS simulations of wind & tidal turbine wakes. Renew Energ 92:273–292
Deconinck D, Van Damme S, Deconinck J (2012) A temperature dependent multi-ion model for time accurate numerical simulation of the electrochemical machining process, Part I: Theoretical basis. Electrochim Acta 60:321–328
Fang XL, Qu NS, Zhang YD, Xu ZY, Zhu D (2014) Effects of pulsating electrolyte flow in electrochemical machining. J Mater Process Technol 214(1):36–43
Deconinck D, Van Damme S, Albu C, Hotoiu L, Deconinck J (2011) Study of the effects of heat removal on the copying accuracy of the electrochemical machining process. Electrochim Acta 56(16):5642–5649
Funding
This work has been financially supported by the National Natural Science Foundation of China [grant number 51775161], the Scientific Research Foundation of Anhui Poly-technic University [grant number Xjky019201903], the Scientific Research Foundation for the introduction of talents of Anhui Poly-technic University [grant number 2018YQQ003], and the Fundamental Research Funds for the Central Universities of China [grant number JD2019JGPY0015].
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Yuanlong, C., Lijun, J., Ming, F. et al. Multi-time scale simulation of pulse electrochemical machining process with multi-physical model. Int J Adv Manuf Technol 110, 2203–2210 (2020). https://doi.org/10.1007/s00170-020-06017-y
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DOI: https://doi.org/10.1007/s00170-020-06017-y