Automated wear characterization for broaching tools based on machine vision systems
Monitoring tool wear is essential to ensure consistently high quality of machined products. In the past, tool wear has been well characterized in common machining processes such as turning or milling. However, for cutting complex profiles, such as linear broaching, the only method reported for quant...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Loizou, Jamie [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2015transfer abstract |
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| Schlagwörter: |
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| Umfang: |
6 |
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| Übergeordnetes Werk: |
Enthalten in: Lebenshilfe Berlin - Berlin : Landesverband, 1979, 37(2015), Seite 558-563 |
|---|---|
| Übergeordnetes Werk: |
volume:37 ; year:2015 ; pages:558-563 ; extent:6 |
| Links: |
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| DOI / URN: |
10.1016/j.jmsy.2015.04.005 |
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ELV023502339 |
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| 520 | |a Monitoring tool wear is essential to ensure consistently high quality of machined products. In the past, tool wear has been well characterized in common machining processes such as turning or milling. However, for cutting complex profiles, such as linear broaching, the only method reported for quantifying tool wear has been manual characterization of flank wear. This leads to significant information loss and large measurement variability. In response to these limitations, this paper presents a new measurement system that quantifies broaching tool wear based on the overall wear area. The proposed method uses automated image cropping and digital imaging processing tools to determine the affected area without requiring any manual intervention. A measurement system analysis has been performed on a hexagonal linear broach to determine the variance introduced by the measuring procedures and the image processing analysis. After implementing this measurement system, tool wear characterization for broaching tools becomes more precise, facilitating cross-industry collaboration, making operator training less intensive, and improving quality control practices. | ||
| 520 | |a Monitoring tool wear is essential to ensure consistently high quality of machined products. In the past, tool wear has been well characterized in common machining processes such as turning or milling. However, for cutting complex profiles, such as linear broaching, the only method reported for quantifying tool wear has been manual characterization of flank wear. This leads to significant information loss and large measurement variability. In response to these limitations, this paper presents a new measurement system that quantifies broaching tool wear based on the overall wear area. The proposed method uses automated image cropping and digital imaging processing tools to determine the affected area without requiring any manual intervention. A measurement system analysis has been performed on a hexagonal linear broach to determine the variance introduced by the measuring procedures and the image processing analysis. After implementing this measurement system, tool wear characterization for broaching tools becomes more precise, facilitating cross-industry collaboration, making operator training less intensive, and improving quality control practices. | ||
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10.1016/j.jmsy.2015.04.005 doi /export/home/cbs_olc/import_discovery/elsevier/convert/GBV-Archive_01_06_pica_neu/GBVA2015009000029.pica (DE-627)ELV023502339 (ELSEVIER)S0278-6125(15)00037-0 DE-627 ger DE-627 rakwb eng 360 VZ Loizou, Jamie verfasserin aut Automated wear characterization for broaching tools based on machine vision systems 2015transfer abstract 6 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Monitoring tool wear is essential to ensure consistently high quality of machined products. In the past, tool wear has been well characterized in common machining processes such as turning or milling. However, for cutting complex profiles, such as linear broaching, the only method reported for quantifying tool wear has been manual characterization of flank wear. This leads to significant information loss and large measurement variability. In response to these limitations, this paper presents a new measurement system that quantifies broaching tool wear based on the overall wear area. The proposed method uses automated image cropping and digital imaging processing tools to determine the affected area without requiring any manual intervention. A measurement system analysis has been performed on a hexagonal linear broach to determine the variance introduced by the measuring procedures and the image processing analysis. After implementing this measurement system, tool wear characterization for broaching tools becomes more precise, facilitating cross-industry collaboration, making operator training less intensive, and improving quality control practices. Monitoring tool wear is essential to ensure consistently high quality of machined products. In the past, tool wear has been well characterized in common machining processes such as turning or milling. However, for cutting complex profiles, such as linear broaching, the only method reported for quantifying tool wear has been manual characterization of flank wear. This leads to significant information loss and large measurement variability. In response to these limitations, this paper presents a new measurement system that quantifies broaching tool wear based on the overall wear area. The proposed method uses automated image cropping and digital imaging processing tools to determine the affected area without requiring any manual intervention. A measurement system analysis has been performed on a hexagonal linear broach to determine the variance introduced by the measuring procedures and the image processing analysis. After implementing this measurement system, tool wear characterization for broaching tools becomes more precise, facilitating cross-industry collaboration, making operator training less intensive, and improving quality control practices. Broaching Elsevier Tool wear characterization Elsevier Measurement system analysis Elsevier Digital image processing Elsevier Tian, Wenmeng oth Robertson, John oth Camelio, Jaime oth Enthalten in Lebenshilfe Berlin Berlin : Landesverband, 1979 37(2015), Seite 558-563 (DE-627)165728922 (DE-600)8612-5 (DE-576)9165728920 nnns volume:37 year:2015 pages:558-563 extent:6 https://doi.org/10.1016/j.jmsy.2015.04.005 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_4103 AR 37 2015 558-563 6 |
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10.1016/j.jmsy.2015.04.005 doi /export/home/cbs_olc/import_discovery/elsevier/convert/GBV-Archive_01_06_pica_neu/GBVA2015009000029.pica (DE-627)ELV023502339 (ELSEVIER)S0278-6125(15)00037-0 DE-627 ger DE-627 rakwb eng 360 VZ Loizou, Jamie verfasserin aut Automated wear characterization for broaching tools based on machine vision systems 2015transfer abstract 6 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Monitoring tool wear is essential to ensure consistently high quality of machined products. In the past, tool wear has been well characterized in common machining processes such as turning or milling. However, for cutting complex profiles, such as linear broaching, the only method reported for quantifying tool wear has been manual characterization of flank wear. This leads to significant information loss and large measurement variability. In response to these limitations, this paper presents a new measurement system that quantifies broaching tool wear based on the overall wear area. The proposed method uses automated image cropping and digital imaging processing tools to determine the affected area without requiring any manual intervention. A measurement system analysis has been performed on a hexagonal linear broach to determine the variance introduced by the measuring procedures and the image processing analysis. After implementing this measurement system, tool wear characterization for broaching tools becomes more precise, facilitating cross-industry collaboration, making operator training less intensive, and improving quality control practices. Monitoring tool wear is essential to ensure consistently high quality of machined products. In the past, tool wear has been well characterized in common machining processes such as turning or milling. However, for cutting complex profiles, such as linear broaching, the only method reported for quantifying tool wear has been manual characterization of flank wear. This leads to significant information loss and large measurement variability. In response to these limitations, this paper presents a new measurement system that quantifies broaching tool wear based on the overall wear area. The proposed method uses automated image cropping and digital imaging processing tools to determine the affected area without requiring any manual intervention. A measurement system analysis has been performed on a hexagonal linear broach to determine the variance introduced by the measuring procedures and the image processing analysis. After implementing this measurement system, tool wear characterization for broaching tools becomes more precise, facilitating cross-industry collaboration, making operator training less intensive, and improving quality control practices. Broaching Elsevier Tool wear characterization Elsevier Measurement system analysis Elsevier Digital image processing Elsevier Tian, Wenmeng oth Robertson, John oth Camelio, Jaime oth Enthalten in Lebenshilfe Berlin Berlin : Landesverband, 1979 37(2015), Seite 558-563 (DE-627)165728922 (DE-600)8612-5 (DE-576)9165728920 nnns volume:37 year:2015 pages:558-563 extent:6 https://doi.org/10.1016/j.jmsy.2015.04.005 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_4103 AR 37 2015 558-563 6 |
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automated wear characterization for broaching tools based on machine vision systems |
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Automated wear characterization for broaching tools based on machine vision systems |
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Monitoring tool wear is essential to ensure consistently high quality of machined products. In the past, tool wear has been well characterized in common machining processes such as turning or milling. However, for cutting complex profiles, such as linear broaching, the only method reported for quantifying tool wear has been manual characterization of flank wear. This leads to significant information loss and large measurement variability. In response to these limitations, this paper presents a new measurement system that quantifies broaching tool wear based on the overall wear area. The proposed method uses automated image cropping and digital imaging processing tools to determine the affected area without requiring any manual intervention. A measurement system analysis has been performed on a hexagonal linear broach to determine the variance introduced by the measuring procedures and the image processing analysis. After implementing this measurement system, tool wear characterization for broaching tools becomes more precise, facilitating cross-industry collaboration, making operator training less intensive, and improving quality control practices. |
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Monitoring tool wear is essential to ensure consistently high quality of machined products. In the past, tool wear has been well characterized in common machining processes such as turning or milling. However, for cutting complex profiles, such as linear broaching, the only method reported for quantifying tool wear has been manual characterization of flank wear. This leads to significant information loss and large measurement variability. In response to these limitations, this paper presents a new measurement system that quantifies broaching tool wear based on the overall wear area. The proposed method uses automated image cropping and digital imaging processing tools to determine the affected area without requiring any manual intervention. A measurement system analysis has been performed on a hexagonal linear broach to determine the variance introduced by the measuring procedures and the image processing analysis. After implementing this measurement system, tool wear characterization for broaching tools becomes more precise, facilitating cross-industry collaboration, making operator training less intensive, and improving quality control practices. |
| abstract_unstemmed |
Monitoring tool wear is essential to ensure consistently high quality of machined products. In the past, tool wear has been well characterized in common machining processes such as turning or milling. However, for cutting complex profiles, such as linear broaching, the only method reported for quantifying tool wear has been manual characterization of flank wear. This leads to significant information loss and large measurement variability. In response to these limitations, this paper presents a new measurement system that quantifies broaching tool wear based on the overall wear area. The proposed method uses automated image cropping and digital imaging processing tools to determine the affected area without requiring any manual intervention. A measurement system analysis has been performed on a hexagonal linear broach to determine the variance introduced by the measuring procedures and the image processing analysis. After implementing this measurement system, tool wear characterization for broaching tools becomes more precise, facilitating cross-industry collaboration, making operator training less intensive, and improving quality control practices. |
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Automated wear characterization for broaching tools based on machine vision systems |
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