Design and Metrological Analysis of a Backlit Vision System for Surface Roughness Measurements of Turned Parts

Author:

Baleani Alessia1,Paone Nicola1ORCID,Gladines Jona2ORCID,Vanlanduit Steve2ORCID

Affiliation:

1. Department of Industrial Engineering and Mathematical Sciences, Università Politecnica delle Marche, 60121 Ancona, Italy

2. Faculty of Applied Engineering, Universiteit Antwerpen, 2000 Antwerp, Belgium

Abstract

The focus of this study is to design a backlit vision instrument capable of measuring surface roughness and to discuss its metrological performance compared to traditional measurement instruments. The instrument is a non-contact high-magnification imaging system characterized by short inspection time which opens the perspective of in-line implementation. We combined the use of the modulation transfer function to evaluate the imaging conditions of an electrically tunable lens to obtain an optimally focused image. We prepared a set of turned steel samples with different roughness in the range Ra 2.4 µm to 15.1 µm. The layout of the instrument is presented, including a discussion on how optimal imaging conditions were obtained. The paper describes the comparison performed on measurements collected with the vision system designed in this work and state-of-the-art instruments. A comparison of the results of the backlit system depends on the values of surface roughness considered; while at larger values of roughness the offset increases, the results are compatible with the ones of the stylus at lower values of roughness. In fact, the error bands are superimposed by at least 58% based on the cases analyzed.

Funder

Regione Marche

Erasmus+ Traineeship program

FWO SBO project HiPas

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Optimization of Sustainable Production Processes in C45 Steel Machining Using a Confocal Chromatic Sensor;Lubricants;2024-03-16

2. Improvement of S-Ratio Measurement Method for Single-In-Line Package Leadframe Roughness;2024 1st International Conference on Robotics, Engineering, Science, and Technology (RESTCON);2024-02-16

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