Abstract Predicting tire friction in a laboratory environment is a complicated issue. Varying one factor at the time for experimenting to obtain insight into tire friction does not necessarily provide a proper judgment. It is needed to take all interactions between the operating factors into account to determine the optimized test conditions to predict tire friction. The research methodology of the Design of Experiments (DoE) is particularly suited for such a system influenced by multi-factors; a technique that constructs a predictive mathematical model to describe the relationship between responses and critical factors. With the aid of DoE, the influence of various operating parameters of the Laboratory Abrasion Tester (LAT100) as a tribometer on tire friction is investigated: load, speed, and slip angle. Two counter-surfaces are employed: a sandpaper- and a corundum-based substrate. A predictive mathematical model is extracted from the DoE and suggests various optimal test conditions to predict the tire friction. It provides new insights into the impact of factor interactions on the coefficient of friction of tire tread compounds. The variation of the coefficient of friction vs speed on the corundum-based substrate is in good agreement with the ABS braking distance data of actual tires on the road.

中文翻译：

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使用实验设计预测轮胎 ABS 制动距离的实验室摩擦测试仪的参数优化

摘要 在实验室环境中预测轮胎摩擦是一个复杂的问题。在试验中改变一个因素来深入了解轮胎摩擦并不一定能提供正确的判断。需要考虑操作因素之间的所有相互作用，以确定优化的测试条件以预测轮胎摩擦。实验设计（DoE）的研究方法特别适合这种受多因素影响的系统；一种构建预测数学模型以描述响应与关键因素之间关系的技术。借助 DoE，研究了实验室磨损测试仪 (LAT100) 作为摩擦计的各种操作参数对轮胎摩擦的影响：载荷、速度和滑移角。使用了两个反面：砂纸和刚玉基基材。从 DoE 中提取预测数学模型并建议各种最佳测试条件来预测轮胎摩擦。它提供了有关因素相互作用对轮胎胎面胶摩擦系数影响的新见解。刚玉基基材上摩擦系数随速度的变化与道路上实际轮胎的 ABS 制动距离数据非常吻合。