Li Zhaolong, Li Wangwang, Cao Bingren
Key Laboratory of Advanced Manufacturing Intelligent Technology of Ministry of Education, Harbin University of Science and Technology, Harbin 150080, China.
School of Mechanical and Power Engineering, Harbin University of Science and Technology, Harbin 150080, China.
Micromachines (Basel). 2022 Jun 7;13(6):902. doi: 10.3390/mi13060902.
Electrochemical machining (ECM) is an essential method for machining miniature bearing outer rings on the high-temperature-resistant nickel-based alloy GH4169. However, the influence of electrolyte temperature distribution and bubble rate distribution on electrolyte conductivity in the ECM area could not be fully considered, resulting in the simulation model not being able to accurately predict the machining accuracy of the outer ring of the miniature bearing, making it challenging to model and predict the optimal process parameters. In this paper, a multiphysics field coupled simulation model of electric, flow, and temperature fields during the ECM of the miniature bearing outer ring is established based on the gas-liquid two-phase turbulent flow model. The simulation analyzed the distribution of electrolyte temperature, bubble rate, flow rate, and current density in the machining area, and the profile change of the outer ring of the miniature bearing during the machining process. The analysis of variance and significance of machining voltage, electrolyte concentration, electrolyte inlet flow rate, and interaction on the mean error of the ECM miniature bearing outer rings was derived from the central composite design. The regression equation between the average error and the process parameters was established, and the optimal combination of process parameters for the average error was predicted, i.e., the minimum value of 0.014 mm could be achieved under the conditions of a machining voltage of 16.20 V, an electrolyte concentration of 9.29%, and an electrolyte inlet flow rate of 11.84 m/s. This is important to improve the machining accuracy of the outer ring of the ECM miniature bearing.
电化学加工(ECM)是加工耐高温镍基合金GH4169微型轴承外圈的一种重要方法。然而,在ECM区域中,电解液温度分布和气泡率分布对电解液电导率的影响无法得到充分考虑,导致仿真模型无法准确预测微型轴承外圈的加工精度,使得对最优工艺参数进行建模和预测具有挑战性。本文基于气液两相湍流模型,建立了微型轴承外圈ECM过程中电场、流场和温度场的多物理场耦合仿真模型。该仿真分析了加工区域内电解液温度、气泡率、流速和电流密度的分布,以及加工过程中微型轴承外圈的轮廓变化。通过中心复合设计得出了加工电压、电解液浓度、电解液入口流速以及它们之间的交互作用对ECM微型轴承外圈平均误差的方差分析和显著性。建立了平均误差与工艺参数之间的回归方程,并预测了平均误差的最优工艺参数组合,即在加工电压为16.20V、电解液浓度为9.29%、电解液入口流速为11.84m/s的条件下,可实现最小值0.014mm。这对于提高ECM微型轴承外圈的加工精度具有重要意义。