Automated Batch Measurement of Nose Radii of Cutting Tools Using Machine Vision

In manufacturing, the surface quality of the final product is governed by many factors including tool nose, machining parameters and type of workpiece. The conditions of the insert are one of the important surface quality determinants due to the close engagement of the tool with the specimen workpie...

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Published in:Lecture Notes in Mechanical Engineering
Main Author: Yeong L.T.; Peen W.Y.
Format: Conference paper
Language:English
Published: Springer Science and Business Media Deutschland GmbH 2024
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85201524750&doi=10.1007%2f978-981-97-0169-8_24&partnerID=40&md5=12d0f8479362558e9bd9bbd16a61bf50
id 2-s2.0-85201524750
spelling 2-s2.0-85201524750
Yeong L.T.; Peen W.Y.
Automated Batch Measurement of Nose Radii of Cutting Tools Using Machine Vision
2024
Lecture Notes in Mechanical Engineering


10.1007/978-981-97-0169-8_24
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85201524750&doi=10.1007%2f978-981-97-0169-8_24&partnerID=40&md5=12d0f8479362558e9bd9bbd16a61bf50
In manufacturing, the surface quality of the final product is governed by many factors including tool nose, machining parameters and type of workpiece. The conditions of the insert are one of the important surface quality determinants due to the close engagement of the tool with the specimen workpiece during machining process. Usually, profile projector or toolmaker’s microscope is used for the measuring of the nose radius which requires displayed points to be selected from the nose profile, and hence the measurement becomes subjective because limited points are selected for circle fitting due to time constraint. In this research, the nose radius of batches of cutting inserts is scanned using high-resolution flatbed scanner to obtain the measurement using proposed algorithm. Batch measurement of radii using image processing techniques requires the cutting inserts to be scanned and cropped individually, extracting the tool tips and finally applying the sub-pixel edge detection before circle fitting to determine the actual radii. Less than 1% of mean errors were found using the proposed automated measurement as compared to 11% using the conventional profile projector. The outcome of the measurement shows that the flatbed scanning is able to produce high accuracy in radii measurement as compared to the digital profile projector. In addition, statistical results show that the proposed measurement using flatbed scanner is comparable to the high-end metrological measurement system (InfiniteFocus). © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
Springer Science and Business Media Deutschland GmbH
21954356
English
Conference paper

author Yeong L.T.; Peen W.Y.
spellingShingle Yeong L.T.; Peen W.Y.
Automated Batch Measurement of Nose Radii of Cutting Tools Using Machine Vision
author_facet Yeong L.T.; Peen W.Y.
author_sort Yeong L.T.; Peen W.Y.
title Automated Batch Measurement of Nose Radii of Cutting Tools Using Machine Vision
title_short Automated Batch Measurement of Nose Radii of Cutting Tools Using Machine Vision
title_full Automated Batch Measurement of Nose Radii of Cutting Tools Using Machine Vision
title_fullStr Automated Batch Measurement of Nose Radii of Cutting Tools Using Machine Vision
title_full_unstemmed Automated Batch Measurement of Nose Radii of Cutting Tools Using Machine Vision
title_sort Automated Batch Measurement of Nose Radii of Cutting Tools Using Machine Vision
publishDate 2024
container_title Lecture Notes in Mechanical Engineering
container_volume
container_issue
doi_str_mv 10.1007/978-981-97-0169-8_24
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85201524750&doi=10.1007%2f978-981-97-0169-8_24&partnerID=40&md5=12d0f8479362558e9bd9bbd16a61bf50
description In manufacturing, the surface quality of the final product is governed by many factors including tool nose, machining parameters and type of workpiece. The conditions of the insert are one of the important surface quality determinants due to the close engagement of the tool with the specimen workpiece during machining process. Usually, profile projector or toolmaker’s microscope is used for the measuring of the nose radius which requires displayed points to be selected from the nose profile, and hence the measurement becomes subjective because limited points are selected for circle fitting due to time constraint. In this research, the nose radius of batches of cutting inserts is scanned using high-resolution flatbed scanner to obtain the measurement using proposed algorithm. Batch measurement of radii using image processing techniques requires the cutting inserts to be scanned and cropped individually, extracting the tool tips and finally applying the sub-pixel edge detection before circle fitting to determine the actual radii. Less than 1% of mean errors were found using the proposed automated measurement as compared to 11% using the conventional profile projector. The outcome of the measurement shows that the flatbed scanning is able to produce high accuracy in radii measurement as compared to the digital profile projector. In addition, statistical results show that the proposed measurement using flatbed scanner is comparable to the high-end metrological measurement system (InfiniteFocus). © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
publisher Springer Science and Business Media Deutschland GmbH
issn 21954356
language English
format Conference paper
accesstype
record_format scopus
collection Scopus
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