TABLE S1: Cd(Re) CORRELATION DATA (SUPPLEMENTARY)

This dataset supports the development and validation of a unified micro–meso–macro modeling framework for high-bandwidth electrohydraulic actuation. It includes CFD-simulated discharge coefficient (Cd) values across 112 Reynolds number cases (Re = 100–5000), experimentally validated frequency response data (magnitude and phase up to 800 Hz), closed-loop bandwidth measurements (650 Hz at −3 dB), and natural frequency results (950 Hz). Data also covers system performance under varying operating pressures (15–21 MPa) and inertial loads (1.5–2.5 kg). Tables summarize model parameters, transient inertia effects (equivalent fluid mass: 12.9 kg), and ablation studies showing errors from neglecting Cd(Re) or fluid inertia. All results are within ±3.2% uncertainty, with 96.8% prediction accuracy. This dataset enables reproducibility of multi-scale dynamics coupling micro-scale flow physics with macro-scale control behavior.

本数据集支持高带宽电液驱动系统的统一微观-介观-宏观建模仿真框架的开发与验证。数据集包含112组雷诺数（Reynolds number，Re）工况下的计算流体动力学（Computational Fluid Dynamics，CFD）仿真流量系数（discharge coefficient，Cd）值，雷诺数覆盖范围为100至5000；同时附带经实验验证的频响数据（幅值与相位，最高可达800 Hz）、闭环带宽测量结果（-3 dB处带宽为650 Hz）以及固有频率结果（950 Hz）。此外，数据集还覆盖了不同工作压力（15–21 MPa）与惯性负载（1.5–2.5 kg）条件下的系统性能表现。相关表格汇总了模型参数、瞬态惯性效应相关内容（等效流体质量：12.9 kg），以及两组消融实验结果：分别为忽略流量系数随雷诺数变化项与忽略流体惯性所带来的预测误差。所有结果的不确定度均处于±3.2%以内，预测准确率达96.8%。本数据集可复现微观尺度流动物理与宏观尺度控制行为耦合的多尺度动力学过程。