摘要
针对合金铣削表面硬度均匀性检测中存在的挑战,提出基于光纤传感技术的检测算法。通过光纤传感位移测量理论,计算反射光强的高斯分布属性,并确定各参数与硬度均匀性的正态分布最佳值。将合金铣削表面检测点的反射光强度数值代入到高斯分布函数中求解,验证硬度均匀性是否符合正态分布,实现了对硬度均匀性的有效检测。实验结果表明,所提方法无论是针对大缺陷、擦伤缺陷以及麻点缺陷的合金件都能实现高效检测。其中,仅在检测麻点缺陷合金铣削表面时存在8 Hz的偏差,检测值与实测值的光纤信号曲线重叠率高达98%,检测粗糙度只出现0.05μm的差距,具有一定实用价值。
A detection algorithm based on fiber optic sensing technology is proposed to address the challenges in detecting the uniformity of surface hardness during alloy milling.By using the theory of fiber optic sensing displacement measurement,the Gaussian distribution property of reflected light intensity is calculated,and the optimal normal distribution values of each parameter and hardness uniformity are determined.The reflected light intensity values of the alloy milling surface detection points are substituted into the Gaussian distri⁃bution function to verify whether the hardness uniformity conforms to the normal distribution,achieving effective detection of hardness uniformity.The experimental results show that the proposed method can achieve efficient detection for alloy parts with large defects,scratch defects,and pitting defects.Among them,there is a deviation of 8 Hz only when detecting the surface of alloy milling with pitting defects.The overlap rate of the fiber signal curve between the detected value and the measured value is as high as 98%,and the detec⁃tion roughness only shows 0.05μm difference.The proposed algorithm has certain practical value.
作者
夏静文
李雁英
刘莉
XIA Jingwen;LI Yanying;LIU Li(School of Mechanical Engineering,Shanxi Engineering Vocational College,Taiyuan Shanxi 030031,China;School of Electric Power,Civil Engineering and Architecture,Shanxi University,Taiyuan Shanxi 030006,China;Department of Architectural Engineering,Shanxi Polytechnic College,Taiyuan Shanxi 030006,China)
出处
《传感技术学报》
北大核心
2025年第12期2279-2284,共6页
Chinese Journal of Sensors and Actuators
基金
2020年度山西省高等学校科技创新项目(2020L0764)
教育部高等教育司产学合作协同育人项目(202002325011068)。
关键词
光纤传感技术
合金铣削表面
硬度均匀性检测
反射光强度
高斯分布函数
fiber optic sensing technology
alloy milling surface
hardness uniformity testing
reflected light intensity
Gaussian distribu⁃tion function
