实验技术与管理2024,Vol.41Issue(7) :140-147.DOI:10.16791/j.cnki.sjg.2024.07.019

基于便携式粗糙度仪的表面轮廓测量实验平台设计

Design of an experimental platform for surface contour measurement based on a portable roughness meter

叶卉 王泽华 许世炜 姜晨
实验技术与管理2024,Vol.41Issue(7) :140-147.DOI:10.16791/j.cnki.sjg.2024.07.019

基于便携式粗糙度仪的表面轮廓测量实验平台设计

Design of an experimental platform for surface contour measurement based on a portable roughness meter

叶卉 1王泽华 1许世炜 1姜晨1
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作者信息

  • 1. 上海理工大学 机械工程学院,上海 200093
  • 折叠

摘要

该文基于便携式粗糙度仪设计了一种用于采集工件表面轮廓数据的测量实验平台,并同步开发轮廓分析软件.该测量实验平台由三轴移动装置、夹具、轮廓数据采集装置(粗糙度仪)及计算机组成,可采集水平方向上0.3~16.0 mm、垂直方向上-200~200 μm复杂表面的轮廓数据,用于微结构或非球面等面型的测量实验.基于MATLAB软件设计模块开发了轮廓数据处理及分析软件,与金相显微镜及泰勒霍普森轮廓仪所测量的轮廓数据结果对比,该测量实验平台的测量误差低于5%,证明该平台及测量方法的可靠性和准确性.

Abstract

[Objective]To ensure precise machining and surface accuracy of complex surfaces,it is crucial to accurately measure and evaluate surface contours.Traditional instruments such as white light interferometers,ultra-depth-of-field microscopes,and surface profilometers are often expensive and bulky,requiring researchers to write custom programs for contour analysis.This paper addresses these issues by designing an experimental platform based on a portable roughness meter for surface profile data acquisition coupled with software to analyze the data.[Methods]The designed experimental platform for surface contour measurement consists of a three-axis moving device,a fixture,a contour data acquisition device(roughness meter)and a computer.To ensure stable data collection,a fixture accommodating workpieces of different shapes and sizes is designed,and a three-axis moving device is built using three sets of linear slide modules to adjust the workpiece and the roughness meter positions during measurement.The collected surface contour data is exported as an Excel file.Using the Gaussian-weighted moving average method and a contour correction model,the software(developed in MATLAB's App Designer)facilitates data interception,smoothing,correction of surface contour data,and calculations of geometrical parameters like distances between points and coordinates of the highest/lowest points.The accuracy of surface contour data collected,processed,and analyzed by the test platform was verified through comparative experiments.First,the heights of rectangular microstructures measured by the platform were compared with those obtained from a metallurgical microscope.Additionally,the cross-section profiles of polished spots detected on the platform were compared with measurements from a Taylor Hobson profiler in both the x and y directions.Ultimately,the relative errors between the platform's results and those from other instruments were calculated.[Results]The experimental results showed that ① when measuring rectangular microstructures,the experimental platform's results were almost identical to those obtained with a metallurgical microscope for a height of 100 μm.For a height of 200 μm,the relative error was the largest but still maintained within 5%in both cases.② The relative errors for the cross-section areas of polished spots measured by the platform and a Taylor Horbson profiler were found to be 2.23%in the X direction and 1.54%in the y direction,respectively.[Conclusions]The designed experimental platform for surface contour measurement effectively collects and analyzes contour data of complex surfaces within 0.3-16 mm horizontally and 400 μm vertically(-200 μm to+200 μm).It is suitable for measuring microstructures,aspherical surfaces,and other surface types.Comparative experiments prove that the platform provides relatively accurate contour and geometrical data.Furthermore,its low cost and compact size make it ideal for undergraduate and graduate teaching experiments.

关键词

表面轮廓/粗糙度仪/实验装置改进/数据处理分析

Key words

surface contour/roughness meter/experimental device improvement/data processing and analysis

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基金项目

2022年教育部产学合作协同育人项目(220506071125324)

2022年教育部产学合作协同育人项目(220606071203633)

2022年教育部产学合作协同育人项目(220506071113615)

2023年上海理工大学教师发展研究项目(CFTD2023ZD06)

上海理工大学研究生教学建设项目()

上海理工大学本科教学研究与改革重点项目()

出版年

2024
实验技术与管理
清华大学

实验技术与管理

CSTPCD北大核心
影响因子:1.651
ISSN:1002-4956
参考文献量12
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