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作 者:沈国际[1,2] 官凤娇 边子方 胡海峰[1,2] 杨拥民[1,2] SHEN Guoji;GUAN Fengjiao;BIAN Zifang;HU Haifeng;YANG Yongmin(College of Intelligence Science and Technology, National University of Defense Technology, Changsha 410073, China;Laboratory of Science and Technology on Integrated Logistics Support, National University of Defense Technology, Changsha 410073, China)
机构地区:[1]国防科技大学智能科学学院,湖南长沙410073 [2]国防科技大学装备综合保障技术重点实验室,湖南长沙410073
出 处:《国防科技大学学报》2021年第6期127-134,共8页Journal of National University of Defense Technology
基 金:国家重点基础研究发展计划资助项目(2015CB057404);湖南省自然科学基金资助项目(2019JJ50721)。
摘 要:叶片裂纹严重威胁航空安全,已引发数起严重飞行事故。为诊断叶片早期裂纹,对裂纹叶片的非线性振动规律进行了理论和实验研究。建立了裂纹叶片动力学非线性模型,梳理了裂纹尺寸与动力学参数的对应关系,推导得到了非线性振动响应谐波分量功率的耦合量化关系式,结果表明叶片振动分量谐波功率与相邻分量谐波功率以及谐波分量的阶次有关,而且谐波分量相对功率与裂纹深度呈正相关。据此,提出了一种基于谐波分量相对功率的裂纹检测方法。对钢直板叶片进行了模拟仿真和振动台实验,仿真结果和实验结果都表明这种方法可以有效区分裂纹叶片和正常叶片。Blade cracks pose a serious threat to aviation safety and lead to serious aviation accidents.In order to diagnose cracks at the early stage,the nonlinear vibration of cracked blades was investigated theoretically and experimentally.A nonlinear dynamic model was established to link the crack size and the dynamic parameters.A coupling quantification expression of the coupling component power in the nonlinear vibration response was obtained.This response expression indicated that the harmonic element power was determined by the adjacent component power,component order,and positively correlated with the depth of the blade crack.Therefore,based on the relative power of the vibrational components,a crack detection method is proposed.Results of the simulation and the testbed experiment both show that the cracked blades are effectively separated from the normal blades by this method.
分 类 号:TH17[机械工程—机械制造及自动化]
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