Durability and reliability have been studied for decades through intensive trial-error experimentation. However, there are numerous fields of application where the costs associated with this approach are not acceptable. In lubricated machines with severe dynamic loads, such as high-power-density engines, simulation tools offer clear advantages over intensive testing. Prototypes and multiple scenarios can be cost-effectively simulated to assess different lubricants and engine configurations. The work presented here details the study of wear based on a validated elastohydrodynamic (EHD) simulation model of the connecting rod journal bearing. This model accounts for elastic deformation through a connecting rod finite element model (FEM). In addition, multiple lubricant rheological and tribological dependences, determined by specific experimental tests, are applied in the model through their interaction with the simulation software. Correspondingly, a novel wear algorithm is proposed to predict wear depth over time evolution along a proposed wear cycle based on the typical working ranges of high-performance engines. A final assessment is presented to compare 4 different ultralow-viscosity lubricants in their protective performance under severe conditions. The results show the evolution of the wear load and wear depth over the wear cycle. This evaluation is key to describing a lubricant selection procedure for high-power-density engines.

几十年来，人们通过大量的试错实验对耐用性和可靠性进行了研究。然而，在许多应用领域，与这种方法相关的成本是不可接受的。在具有严重动态负载的润滑机器中，例如高功率密度发动机，仿真工具比密集测试具有明显的优势。可以经济高效地模拟原型和多种场景，以评估不同的润滑油和发动机配置。这里介绍的工作详细介绍了基于连杆轴颈轴承经过验证的弹流体动力学 (EHD) 模拟模型的磨损研究。该模型通过连杆有限元模型 (FEM) 考虑弹性变形。此外，通过特定实验测试确定的多种润滑剂流变学和摩擦学依赖性，通过它们与模拟软件的交互应用到模型中。相应地，提出了一种新颖的磨损算法，用于根据高性能发动机的典型工作范围，沿着所提出的磨损周期预测磨损深度随时间的演变。最终评估比较了 4 种不同的超低粘度润滑剂在恶劣条件下的保护性能。结果显示了磨损载荷和磨损深度在磨损周期内的演变。该评估是描述高功率密度发动机润滑剂选择程序的关键。