一种双金属气门摩擦焊屈服强度智能检测系统  

The invention relates to an intelligent detection system for the yield strength of bimetal valve friction welding

作　　者：胡晓娟 徐壬六 金海军 李露[2] 张志华 HU Xiaojuan;XU Renliu;JIN Najun;LI Lu;ZHANG Zhihua(Changzhou Institute of Advanced Manufacturing Technology,Jiangsu,Changzhou 213100,China;Hefei Institute of Material Sciences,Chinese Academy of Sciences,Hefei 230031,China;Quzhou Institute of Metrology and quality inspection,Zhejiang,Quzhou 324000,China)

机构地区：[1]常州先进制造技术研究所,江苏常州213100 [2]中科院合肥物质科学研究院,合肥230031 [3]衢州市计量质量检验研究院,浙江衢州324000

出　　处：《自动化与仪器仪表》2023年第7期96-98,102,共4页Automation & Instrumentation

基　　金：江苏省产业前瞻与共性关键技术重点项目(BE2017007)。

摘　　要：针对目前国内气门摩擦焊检测多为手工检测、效率低、危险性高、工人劳动强度大等问题,设计了一种双金属气门摩擦焊屈服强度智能检测系统,采用伺服加压机构,提供了一种根据挠度公式叠加下压补偿量的屈服强度智能检测算法,对不同尺寸的工件根据智能检测算法设定不同的下压位移进行顶压,如果工件从焊口位置断裂即为不合格,不断裂即为合格,实现了不同规格工件的自动上下料和智能检测,通过多组实验验证了检测算法和检测结构的准确性和可靠性,实现了整个检测流程的自动化,提高了气门摩擦焊接屈服强度检测的智能化程度,降低了检测的危险性。In view of the current domestic valve friction welding detection is mostly manual detection,low efficiency,high risk,workers labor intensity and other problems,this paper designed a bimetal valve friction welding yield strength intelligent detection system,which adopts the servo pressure mechanism.An intelligent detection algorithm of yield strength based on deflection formula superimposed by pressure compensation is presented.Different sizes of the workpiece according to the intelligent detection algorithm set different downward displacement for the top pressure,if the workpiece from the welding position fracture is unqualified,not broken is qualified,it realizes different specifications of the workpiece automatic loading and unloading and intelligent detection.The accuracy and reliability of the detection algorithm and the detection structure are verified by several groups of experiments,and the automation of the whole detection process is realized,which improves the intelligence degree of the detection of valve friction welding yield strength and reduces the risk of detection.

关 键 词：双金属 摩擦焊 挠度 智能检测 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]