摘要
针对再制造工程中旧零件内部疲劳损伤难以检测的问题,尝试运用高阶固有频率对疲劳损伤的敏感性来检测评估旧零件疲劳损伤,并进行了试验研究。首先,通过ANSYS模拟分析,从理论上论证,高阶固有频率比低阶固有频率能更敏感地反应损伤变化、检测损伤;然后,采用自主研发的双通道高灵敏声振检测仪构建了高阶固有频率测量方法,固有频率的实测值与理论计算值的误差均小于3%,表明测量方法具有较高精度;预置裂纹和经过疲劳试验试件的高阶固有频率值,对裂纹(裂纹率8.3%~33.3%)和疲劳试验时间6~30 h试件均有不同的变化,表明高阶固有频率可以检测评估疲劳损伤;最后,在再制造工厂对一批连杆体旧零件进行高阶固有频率测试,发现在役使用时间仅有41 h旧零件的高阶固有频率已有明显变化,表明高阶固有频率对旧零件疲劳损伤很敏感,将会是再制造旧零件无损检测的新途径。
In view of the problem that inner fatigue damage of used parts is difficult to detect in remanufacturing engineering,the method of using high order natural frequencies to identify damage of used parts is put forward. Firstly,through ANSYS simulation analysis,it can be theoretically further demonstrated that high order natural frequencies are more sensitive to damage than low order natural frequencies,and will be more sensitive in assessing damage. Then,a self-developed dual-channel ultrasensitive vibro-acoustic detector is used to construct method for accurately measuring high order natural frequencies. And comparison( error less than 3%) on natural frequencies of test specimens obtained from theoretical calculation and test indicate the reliability and accuracy of this measuring method. After that,simulation and test analysis of pre-existing flaws( crack rate 8. 3% ~33. 3%) or fatigued test specimens( 6 ~ 30 hours) are conducted respectively to verify the effectiveness of high order natural frequency evaluation based fatigue damage detection. Finally,high order natural frequency evaluation test for bulk used connecting rod parts are conducted in a remanufacturing plant,the results show that high order natural frequencies,even of a 41-hour used parts, have strong sensitivity to fatigue damage. Thus nondestructive testing methods for remanufacturing used parts are expanded in this new way.
出处
《广西大学学报（自然科学版）》
CAS
北大核心
2017年第3期990-1000,共11页
Journal of Guangxi University（Natural Science Edition）
基金
国家自然科学基金资助项目(51365006
51445013)
广西制造系统与先进制造技术重点实验室课题(14-045-15S05)项目
关键词
再制造旧零件
声振传感器
高阶固有频率
疲劳损伤检测
remanufacturing used parts
vibro-acoustic sensor
high order natural frequency
fatigue damage detection
