Health condition monitoring with multiple physical signals in tensile test for double-material friction welding
Health condition monitoring with multiple physical signals in tensile test for double-material friction welding作者机构:State Key Lab for Remanufacturing(Academy of Armored Forces Engineering) School of Engineering and TechnologyChina University of Geosciences
出 版 物:《Journal of Central South University》 (中南大学学报(英文版))
年 卷 期:2012年第19卷第10期
页 面:2705-2711页
核心收录:
学科分类:080503[工学-材料加工工程] 0828[工学-农业工程] 08[工学] 0805[工学-材料科学与工程(可授工学、理学学位)] 0802[工学-机械工程] 080201[工学-机械制造及其自动化]
基 金:Project(51125023) supported by Distinguished Young Scholars of Natural Science Foundation of China Project(2011CB013405) supported by the National Basic Research Program of China Project supported by China Equipment Maintenance Program Project (3120001) supported by the Natural Science Foundation of Beijing,China
主 题:micro resistance pictorial infrared photography acoustic emission nondestructive testing dynamic monitoring
摘 要:The manifold physical signals including micro resistance,infrared thermal signal and acoustic emission signal in the tensile test for double-material friction welding normative samples were monitored and collected dynamically by TH2512 micro resistance measuring apparatus,flir infrared thermal camera and acoustic emission equipment which possesses 18 bit PCI-2 data acquisition *** acoustic emission and thermal infrared NDT(non-destructive testing) means were used to verify the feasibility of using resistance method and to monitor dynamic damage of the *** research of the dynamic monitoring system was carried out with multi-information fusion including resistance,infrared and acoustic *** results show that the resistance signal,infrared signal and acoustic emission signal collected synchronously in the injury process of samples have a good ***,thermal and acoustic signals can more accurately capture initiation and development of micro-defects in the *** dynamic micro-resistance method to monitor damage is *** method of multi-information fusion monitoring damage possesses higher reliability,which makes the establishing of health condition diagnosing and early warning platform with multiple physical information monitoring possible.