欢迎来到天天文库
浏览记录
ID:36374760
大小:3.03 MB
页数:106页
时间:2019-05-10
《碳纤维复合材料数字化超声检测系统关键技术研究》由会员上传分享,免费在线阅读,更多相关内容在学术论文-天天文库。
1、洳专:j-博士学位论文⑧论文题目碳红丝复金挝整数主丝超壹检测丕统差毽堇查受窒作者姓名奎凌摘要料的孔隙状况。第六章研究了碳纤维复合材料构件超声扫描成像系统软件设计。介绍了软件能力成熟度模型(CMM)的分级标准和内部结构,对CMM在碳纤维复合材料超声检测系统软件开发过程中的实施方法和关键过程进行了研究。然后阐明了分层设计方法在软件系统整体设计中的实现,对系统中数据的类型、特点及组织形式进行了探讨。阐述了碳纤维复合材料软件系统的整体功能结构,对于系统中组合成像和输出报表两项关键技术,给出了实现方法。最后对全文的工作进行了总
2、结,对进一步的工作提出了一些初步的设想。关键词;超声检测{碳纤维复合材料;超声信号;缺陷波;超声成像;c扫描图像;缺陷分析;孔隙率;衰减系数-11.摘要ABSTRACTCarbonFiberReinforeedPlastics(CFRP)waswidelyusediutheaeronautic、astronauticandarmsindustryandsoitsreliabilityandsecuritybecomemoreandmoreimportant.Ultrasonicinspectionwhichtakes
3、acrucialpositioninproductsqualitycontrolistheregulartechnologyforCFRPtest.FortheCFRPparts,howtoimproveprecisionanddegreeofautomationisaproblemthatneeddeeperresearch.CombinedwiththeactualrequirementanddevelopingprocessofCFRPUltrasonicnon-destructiveinspectionpro
4、jecLsomekeytechniquessuchasinspectionmethod,signalprocessing,flawallal3,sis,voidcontenttestandsoftwaredesignaredeeplystudiedinthisthesis.Inchapter1.thesignificationofresearchworkofthisthesiswasdiscussed.ThedevelopingstatusofrelativetechniquesuchasCFRPUltrasonic
5、non-destructiveinspection、voidcontentte盹ultrasonicscanandimagingmeans,ultrasonicsignalprocess,ultrasonicC—scanimageprocesswereanalyzed.Inchapter2,theautomaticultrasonicinspectingmethodforcurvedsurfacepartwasstudied.Firstly,thebasictheoryofultrasonicinspectionte
6、chniquewasintroduced,thenbasedonultrasonicmeasure,curvedsurfacemodeling,scanningpathplanningandultrasonicscanimaging,theall—in-onesystemofinspectionwasconstructed.Onthebasisofrobottheory,thekinemaficmodelofmulti—freedomultrasonicinspectingrobotforcurvedsurfacep
7、artswassetup.Finally,thekinematicequ{itionandresultoffive—freedomultrasonicinspectingsystemwerepresented.Inchapter3,theflawwaveposition—findingtechniqueofcurvedsurfaceanddepth—changeablepartswasresearched.Depictthebasictheoryofwavelettransform,includingconcepta
8、ndalgorithmrealizationofcontinuouswavelettransform,physicalmeaningofdiscretewavelettransform,multi·resolutionanalysisandMalletalgorithm.Aflawwaveposition—findingtechniquebas
此文档下载收益归作者所有