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首页> 《中国测试》期刊 >本期导读>燃气表气阀配合面粗糙度及形貌特征研究

燃气表气阀配合面粗糙度及形貌特征研究

240    2020-08-19

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作者:刘源1, 刘雨航1, 武孟玺1, 崔廷2, 沈小燕1

作者单位:1. 中国计量大学计量测试工程学院,浙江 杭州 310018;
2. 河南中烟工业有限责任公司技术中心,河南 郑州 450000


关键词:三维表面粗糙度参数;回归高斯滤波;线性高斯滤波;气阀配合面形貌特征;激光三角测距法


摘要:

燃气表气阀配合面的粗糙度可以定量地评定燃气表气阀的密封性,并描述其形貌特征。该文搭建基于激光三角测距传感器、气浮平台和十字滑台的表面形貌测量装置,获得气阀配合面三维形貌的数据,并通过软件计算线性和回归三维快速高斯滤波的三维表面粗糙度参数。测试结果表明:区分气阀合格性时,回归滤波下参数可取SaSqSzSkuS10z,阈值选为1.165 μm、1.60 μm、15.645 μm、5.56 μm和14.12 μm;线性滤波下参数可取SaSq,阈值选为1.59 μm和2.02 μm,回归滤波法优于线性滤波法。同时进一步分析不合格气阀表面形貌与三维表面粗糙度参数之间的关系,试验结果表明利用表面粗糙度测量结果可以判别气阀配合面的不同形貌特征。


Research on roughness and morphology of gas meter gas valves
LIU Yuan1, LIU Yuhang1, WU Mengxi1, CUI Ting2, SHEN Xiaoyan1
1. College of Metrology & Measurement Engineering, China Jiliang University, Hangzhou 310018, China;
2. Technology Center, China Tobacco Henan Industrial Co., Ltd., Zhengzhou 450000, China
Abstract: The roughness of the matching surface of the gas meter gas valve can quantitatively assess the sealing of the gas meter gas valve and describe its morphological characteristics. A surface topography measuring device based on a laser triangulation ranging sensor, an air-floating platform, and a cross slide was built. The three-dimensional topography data of the valve mating surface was obtained, and the three-dimensional surface of linear and regression three-dimensional fast Gaussian filtering was calculated by software. The test results show that when distinguishing the qualification of the valve, the parameters under regression filtering can be Sa, Sq, Sz, Sku, and S10z, and the threshold values are selected as 1.165 μm, 1.60 μm, 15.645 μm, 5.56 μm, and 14.12 μm. The parameters under linear filtering are Sa, Sq, and threshold are chosen to be 1.59 μm and 2.02 μm. The regression filtering method is better than the linear filtering method. At the same time, the relationship between the surface morphology of the defective valve and the three-dimensional surface roughness parameters is further analyzed. The test results show that the surface morphology can be used to distinguish the different morphological characteristics of the valve mating surface.
Keywords: three-dimensional surface roughness parameter;regression Gaussian filtering;linear Gaussian filtering;gas valve mating surface topography;laser triangulation method
2020, 46(8):143-148  收稿日期: 2019-07-16;收到修改稿日期: 2019-09-18
基金项目: 国家自然科学基金面上项目(51775529)
作者简介: 刘源(1996-),男,安徽六安市人,硕士研究生,专业方向为精密光学检测技术及应用
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