摘要
铁谱磨粒分析技术,可从微观角度对动态过程进行监测,以预测、诊断和及时处理非正常磨损早期故障。文章作者将铁谱磨粒分析技术运用在汽车维修行业,验证和完善了传统磨损理论,并结合实践,对微凸体机械嵌合、胶合,塑料变形及刨削作用和疲劳作用进行了分析,证明汽车机械故障可以预测,且可以防止重大事故的发生。
The early malfunction of abnormal wear can be predicted, diagnosed and handled in time by using ferrography to monitor the running procedure from the microscopic view. The paper validates and perfects the traditional wear theory by using the ferrography, at the same time, combining the practice, mechanical embedded minor particles,scoring,plastic distortion,shaping effect and fatigue effect are analyzed and the results show that the vehicle's malfunction can be predicted.
出处
《西华大学学报(自然科学版)》
CAS
2006年第3期28-31,共4页
Journal of Xihua University:Natural Science Edition
关键词
汽车故障预测
铁谱技术
特征微粒
vehicle malfunction foresee
ferrography
feature particle