Surface roughness measurements of turned parts through a vision-based measurement system: uncertainty analysis and performance comparison with state-of-the-art instruments-Reference-Cited by-同舟云学术

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Surface roughness measurements of turned parts through a vision-based measurement system: uncertainty analysis and performance comparison with state-of-the-art instruments

Published:2022-06-07 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Workshop on Metrology for Industry 4.0 & IoT (MetroInd4.0&IoT)
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Author:

Baleani Alessia¹,Paone Nicola¹,Gladines Jona²,Vanlanduit Steve²

Affiliation:

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

2. University of Antwerp,Faculty of Applied Engineering,Antwerp,Belgium

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9831192/9831456/09831674.pdf?arnumber=9831674

Reference13 articles.

1. Optimization of turning parameters for surface roughness;dahbi;Xeme Conference Int Concept Prod Integrees,2015

2. Effect of surface hardness and roughness produced by turning on the torsion mechanical properties of annealed AISI 1020 steel

Cited by 1 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. Design and Metrological Analysis of a Backlit Vision System for Surface Roughness Measurements of Turned Parts;Sensors;2023-02-01

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