A review of digital filtering in evaluation of surface roughness

Surface roughness is an important indicator in the evaluation of machining and product quality, as well as a direct factor affecting the performance of components. A rapidly developing filtering technology has become the main means of extracting surface roughness. The International Organization for...

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Main Authors: Baofeng He, Haibo Zheng, Siyuan Ding, Ruizhao Yang, Zhaoyao Shi
Format: Article
Language:English
Published: Polish Academy of Sciences 2021-07-01
Series:Metrology and Measurement Systems
Subjects:
Online Access:https://journals.pan.pl/Content/120095/art01.pdf
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author Baofeng He
Haibo Zheng
Siyuan Ding
Ruizhao Yang
Zhaoyao Shi
author_facet Baofeng He
Haibo Zheng
Siyuan Ding
Ruizhao Yang
Zhaoyao Shi
author_sort Baofeng He
collection DOAJ
description Surface roughness is an important indicator in the evaluation of machining and product quality, as well as a direct factor affecting the performance of components. A rapidly developing filtering technology has become the main means of extracting surface roughness. The International Organization for Standardization (ISO) is constantly updating and improving the standard system for filtering technology in order to meet the requirements of technological development. Based on the filters already accepted by the international standard ISO 16610, this study briefly introduces the filtering principle of each filter, reviews the development of each filter in the application of surface roughness, and compares the advantages and limitations of their individual performances. The application range of each filter is summarized and, finally, the future direction of the digital filtering used in surface roughness is extrapolated.
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spelling doaj.art-70414b63563f4c2ea106fa0ec5d719032022-12-22T01:39:51ZengPolish Academy of SciencesMetrology and Measurement Systems2300-19412021-07-01vol. 28No 2217253https://doi.org/10.24425/mms.2021.136606A review of digital filtering in evaluation of surface roughnessBaofeng He0Haibo Zheng1Siyuan Ding2Ruizhao Yang3Zhaoyao Shi4Beijing University of Technology, Faculty of Materials and Manufacturing, Beijing Engineering Research Center of Precision Measurement Technology and Instruments, 100 Ping Le Yuan, Chaoyang District, Beijing 100124, ChinaBeijing University of Technology, Faculty of Materials and Manufacturing, Beijing Engineering Research Center of Precision Measurement Technology and Instruments, 100 Ping Le Yuan, Chaoyang District, Beijing 100124, ChinaBeijing University of Technology, Faculty of Materials and Manufacturing, Beijing Engineering Research Center of Precision Measurement Technology and Instruments, 100 Ping Le Yuan, Chaoyang District, Beijing 100124, ChinaBeijing University of Technology, Faculty of Materials and Manufacturing, Beijing Engineering Research Center of Precision Measurement Technology and Instruments, 100 Ping Le Yuan, Chaoyang District, Beijing 100124, ChinaBeijing University of Technology, Faculty of Materials and Manufacturing, Beijing Engineering Research Center of Precision Measurement Technology and Instruments, 100 Ping Le Yuan, Chaoyang District, Beijing 100124, ChinaSurface roughness is an important indicator in the evaluation of machining and product quality, as well as a direct factor affecting the performance of components. A rapidly developing filtering technology has become the main means of extracting surface roughness. The International Organization for Standardization (ISO) is constantly updating and improving the standard system for filtering technology in order to meet the requirements of technological development. Based on the filters already accepted by the international standard ISO 16610, this study briefly introduces the filtering principle of each filter, reviews the development of each filter in the application of surface roughness, and compares the advantages and limitations of their individual performances. The application range of each filter is summarized and, finally, the future direction of the digital filtering used in surface roughness is extrapolated.https://journals.pan.pl/Content/120095/art01.pdfsurface roughnessprofile filteringareal filteringsurface engineering
spellingShingle Baofeng He
Haibo Zheng
Siyuan Ding
Ruizhao Yang
Zhaoyao Shi
A review of digital filtering in evaluation of surface roughness
Metrology and Measurement Systems
surface roughness
profile filtering
areal filtering
surface engineering
title A review of digital filtering in evaluation of surface roughness
title_full A review of digital filtering in evaluation of surface roughness
title_fullStr A review of digital filtering in evaluation of surface roughness
title_full_unstemmed A review of digital filtering in evaluation of surface roughness
title_short A review of digital filtering in evaluation of surface roughness
title_sort review of digital filtering in evaluation of surface roughness
topic surface roughness
profile filtering
areal filtering
surface engineering
url https://journals.pan.pl/Content/120095/art01.pdf
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