The friction occurring between the teeth of gears is a significant contributor to energy loss in gear drives. Factors like the load, speed, and coefficient of friction (µ) play a crucial role in determining the extent of frictional losses in gears. The coefficient of friction (µ) is a complex function influenced by various tribological parameters, including rolling, and sliding velocities, normal load at the tooth contact zone, oil temperature, and contact surface roughness. To analyze the impact of design and operating parameters on the coefficient of friction, a comprehensive statistical parametric approach was employed, combining numerical and statistical methods. The study employed a design of experiments methodology to numerically examine the impact of various tribological factors on the coefficient of friction. This methodology facilitated the identification of primary effects and crucial factors that have a significant impact on the variable µ. The findings derived from the computational models were subsequently compared with the discoveries of pre-existing investigations that includes both experimental and theoretical approaches. The proposed method represents a powerful tool for understanding the relationship and correlation between major tribological factors and the coefficient of friction. By employing this approach, it becomes possible to identify optimized tribological parameters. This information is valuable in improving the design and operation of gear systems, with the aim of reducing energy loss due to friction and enhancing overall efficiency.

中文翻译：

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利用实验技术设计来确定正齿轮的最佳摩擦系数

齿轮齿之间发生的摩擦是齿轮传动中能量损失的重要原因。负载、速度和摩擦系数 (μ) 等因素在确定齿轮摩擦损失程度方面起着至关重要的作用。摩擦系数 (μ) 是一个复杂的函数，受各种摩擦学参数的影响，包括滚动和滑动速度、齿接触区的法向载荷、油温和接触表面粗糙度。为了分析设计和操作参数对摩擦系数的影响，采用了综合统计参数方法，结合了数值和统计方法。该研究采用实验设计方法来数值研究各种摩擦学因素对摩擦系数的影响。该方法有助于识别对变量 µ 有重大影响的主要效应和关键因素。随后将计算模型得出的结果与包括实验和理论方法在内的现有研究的发现进行比较。所提出的方法是理解主要摩擦学因素与摩擦系数之间关系和相关性的有力工具。通过采用这种方法，可以确定优化的摩擦学参数。这些信息对于改进齿轮系统的设计和操作非常有价值，目的是减少摩擦引起的能量损失并提高整体效率。