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On-line monitoring of tool wear in turning operation in the presence of tool misalignment.

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Title: On-line monitoring of tool wear in turning operation in the presence of tool misalignment.
Authors: Shahabi, H.1, Ratnam, M.1 mmaran@eng.usm.my
Source: International Journal of Advanced Manufacturing Technology. Sep2008, Vol. 38 Issue 7/8, p718-727. 10p. 6 Black and White Photographs, 4 Diagrams, 2 Charts, 5 Graphs.
Subjects: Machine tool monitoring, Lathe work, Algorithms, Machining, Manufacturing processes, Machinery
Abstract: A vision system using high-resolution CCD camera and back-light was developed for the on-line measurement of nose wear of cutting tool inserts. Initial study showed that the system is sensitive to several factors in the work environment such as misalignment of cutting tool, presence of micro-dust particles, vibration and intensity variation of ambient light. An algorithm using Wiener filtering, median filtering, morphological operations and thresholding was developed to decrease the system error caused by these factors. A conforming method was used to overcome misalignment of the tool insert during offline and on-line measurement. The algorithm, combined with a subtraction method, was applied to measure the nose wear area of the inserts under different machining conditions. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Advanced Manufacturing Technology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Data: On-line monitoring of tool wear in turning operation in the presence of tool misalignment.
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  Data: <searchLink fieldCode="AR" term="%22Shahabi%2C+H%2E%22">Shahabi, H.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Ratnam%2C+M%2E%22">Ratnam, M.</searchLink><relatesTo>1</relatesTo><i> mmaran@eng.usm.my</i>
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  Data: <searchLink fieldCode="DE" term="%22Machine+tool+monitoring%22">Machine tool monitoring</searchLink><br /><searchLink fieldCode="DE" term="%22Lathe+work%22">Lathe work</searchLink><br /><searchLink fieldCode="DE" term="%22Algorithms%22">Algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Machining%22">Machining</searchLink><br /><searchLink fieldCode="DE" term="%22Manufacturing+processes%22">Manufacturing processes</searchLink><br /><searchLink fieldCode="DE" term="%22Machinery%22">Machinery</searchLink>
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  Data: A vision system using high-resolution CCD camera and back-light was developed for the on-line measurement of nose wear of cutting tool inserts. Initial study showed that the system is sensitive to several factors in the work environment such as misalignment of cutting tool, presence of micro-dust particles, vibration and intensity variation of ambient light. An algorithm using Wiener filtering, median filtering, morphological operations and thresholding was developed to decrease the system error caused by these factors. A conforming method was used to overcome misalignment of the tool insert during offline and on-line measurement. The algorithm, combined with a subtraction method, was applied to measure the nose wear area of the inserts under different machining conditions. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of International Journal of Advanced Manufacturing Technology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – SubjectFull: Algorithms
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      – SubjectFull: Machining
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      – SubjectFull: Manufacturing processes
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