Improving hole quality in the burnishing operation is a necessary demand to enhance its applications in different industrial aspects. The purpose of this investigation is to optimize process parameters, including the burnishing speed (V_s), depth of penetration (d_p), and feed rate (V_f) for decreasing cylindricity (CL), circularity (CC), dimensional deviation (DD), and burnishing roughness (BR) under the minimum quantity lubrication (MQL). Firstly, the working principle of the MQL-based internal roller burnishing (MBIRB) operation has been proposed. A set of burnishing trials is performed using the Taguchi design of experiment. The gray relational analysis (GRA) is utilized to compute the weight value of each response, while the combined compromise solution (CCS) is employed to set the best optimal solution. Moreover, empirical models of technological performances are proposed regarding process parameters with the aid of the response surface method (RSM). The results indicated that the optimal outcomes of the V_s, d_p, and V_f were 600 rpm, 0.06 mm, and 100 mm/min, respectively, while the CL, CC, DD, and BR were decreased 80.8, 2.1, 48.0, and 54.4%, respectively, as compared to the worst case. The CL, CC, and BR were reduced by 88.3, 60.0, and 93.4%, respectively, in comparison with the pre-machined characteristics. Furthermore, the predictive models of the burnishing responses could be utilized in the burnishing operation to predict the performance values with the cost-effectiveness and less manufacturing damage.

提高抛光操作中的孔质量是增强其在不同工业方面的应用的必要要求。本研究的目的是优化过程参数，包括抛光速度（V_小号），穿透（深度d _p）和进料速率（V _˚F) 用于在最小量润滑 (MQL) 下降低圆柱度 (CL)、圆度 (CC)、尺寸偏差 (DD) 和抛光粗糙度 (BR)。首先，提出了基于 MQL 的内部滚光 (MBIRB) 操作的工作原理。使用田口实验设计进行一组抛光试验。灰色关联分析（GRA）用于计算每个响应的权重值，而组合折衷解（CCS）用于设置最佳最优解。此外，还借助响应面法 (RSM) 提出了有关工艺参数的技术性能经验模型。结果表明，所述的最佳结果V_小号，d _p，和V_f分别为 600 rpm、0.06 mm 和 100 mm/min，而与最坏情况相比，CL、CC、DD 和 BR 分别降低了 80.8、2.1、48.0 和 54.4%。与预加工特性相比，CL、CC 和 BR 分别降低了 88.3、60.0 和 93.4%。此外，可以在抛光操作中利用抛光响应的预测模型来预测具有成本效益和更少制造损坏的性能值。