<p>The wear of cylinder liner-piston ring (CLPR) significantly affects the performance and service life of heavy-load diesel engines. To address the limitations of existing models, a dynamic load-based wear model integrated with a wear boundary condition sub-model and calculation sub-model was established. The dynamic load wear coefficient <i>K</i><sub>D</sub> was proposed to characterize the coupling effects of contact pressure and relative speed under variable operating conditions, with its parameters calibrated via SRV4 friction and wear tests. The model was validated using bench test and insurance period test data, showing a maximum relative error of 6.15%. Application of the model to four typical operating conditions (start-up, acceleration, deceleration, and constant speed) revealed that the start-up condition induces the most severe cyclic wear of 2.8 × 10⁻<sup>5</sup>&#xa0;μm/cycle, approximately 10 times higher than that of the other conditions. High rates of speed and load variation are the dominant factors exacerbating wear, with high load exerts a more pronounced influence on friction pair parameter fluctuations than low load. This model provides a reliable theoretical basis for wear prediction and reduction of CLPR systems under variable operating conditions.</p>

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Variable-condition wear in heavy-load diesel engine cylinder liner-piston ring: establishment and calculation of the dynamic load-based wear model

  • Yuhui Li,
  • Zhi Ning,
  • Yechang Liu,
  • Fei Yu,
  • Ming Lv

摘要

The wear of cylinder liner-piston ring (CLPR) significantly affects the performance and service life of heavy-load diesel engines. To address the limitations of existing models, a dynamic load-based wear model integrated with a wear boundary condition sub-model and calculation sub-model was established. The dynamic load wear coefficient KD was proposed to characterize the coupling effects of contact pressure and relative speed under variable operating conditions, with its parameters calibrated via SRV4 friction and wear tests. The model was validated using bench test and insurance period test data, showing a maximum relative error of 6.15%. Application of the model to four typical operating conditions (start-up, acceleration, deceleration, and constant speed) revealed that the start-up condition induces the most severe cyclic wear of 2.8 × 10⁻5 μm/cycle, approximately 10 times higher than that of the other conditions. High rates of speed and load variation are the dominant factors exacerbating wear, with high load exerts a more pronounced influence on friction pair parameter fluctuations than low load. This model provides a reliable theoretical basis for wear prediction and reduction of CLPR systems under variable operating conditions.