Relevance of roughness parameters for describing and modelling machined surfaces
Abstract Describing and modelling a machined surface require the selection of relevant roughness parameters. However, this selection is difficult since a machined surface morphology can be described by a large number of roughness parameters. This investigation focuses on the roughness of metallic su...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Bigerelle, M. [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2003 |
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| Schlagwörter: |
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| Anmerkung: |
© Kluwer Academic Publishers 2003 |
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| Übergeordnetes Werk: |
Enthalten in: Journal of materials science - Kluwer Academic Publishers, 1966, 38(2003), 11 vom: Juni, Seite 2525-2536 |
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| Übergeordnetes Werk: |
volume:38 ; year:2003 ; number:11 ; month:06 ; pages:2525-2536 |
| Links: |
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| DOI / URN: |
10.1023/A:1023929807546 |
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OLC2046281659 |
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| 245 | 1 | 0 | |a Relevance of roughness parameters for describing and modelling machined surfaces |
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| 520 | |a Abstract Describing and modelling a machined surface require the selection of relevant roughness parameters. However, this selection is difficult since a machined surface morphology can be described by a large number of roughness parameters. This investigation focuses on the roughness of metallic surfaces taking for two applications: a) the description of machined surface morphologies produced by grinding b) the relationships between machined surface morphologies (grinding or cold-rolling) and their brightness level when irradiated by the white light beam of an optical glossmeter used for industrial surface quality control. For each application, the aim is to determine, from an objective quantitative point of view, the relevance of one hundred or so surface roughness parameters. To reach this objective, a specific software program has been developed to determine a ranking of relevance thanks to the calculation of a computed statistical index of performance. The statistical results of this study show that the fractal dimension estimated by an original method is the most relevant roughness parameter to describe the surface morphology after grinding or rolling. Because of this relevance, this roughness parameter has also to be taken into consideration in models showing the interactions between machined surfaces and an optical wave. The methodology presented in this study can be a useful tool in the quality control phase to keep under control the fabrication process parameters of manufactured objects in industrial environments. | ||
| 650 | 4 | |a Surface Roughness | |
| 650 | 4 | |a Fractal Dimension | |
| 650 | 4 | |a Light Beam | |
| 650 | 4 | |a Surface Quality | |
| 650 | 4 | |a Machine Surface | |
| 700 | 1 | |a Najjar, D. |4 aut | |
| 700 | 1 | |a Iost, A. |4 aut | |
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10.1023/A:1023929807546 doi (DE-627)OLC2046281659 (DE-He213)A:1023929807546-p DE-627 ger DE-627 rakwb eng 670 VZ Bigerelle, M. verfasserin aut Relevance of roughness parameters for describing and modelling machined surfaces 2003 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Kluwer Academic Publishers 2003 Abstract Describing and modelling a machined surface require the selection of relevant roughness parameters. However, this selection is difficult since a machined surface morphology can be described by a large number of roughness parameters. This investigation focuses on the roughness of metallic surfaces taking for two applications: a) the description of machined surface morphologies produced by grinding b) the relationships between machined surface morphologies (grinding or cold-rolling) and their brightness level when irradiated by the white light beam of an optical glossmeter used for industrial surface quality control. For each application, the aim is to determine, from an objective quantitative point of view, the relevance of one hundred or so surface roughness parameters. To reach this objective, a specific software program has been developed to determine a ranking of relevance thanks to the calculation of a computed statistical index of performance. The statistical results of this study show that the fractal dimension estimated by an original method is the most relevant roughness parameter to describe the surface morphology after grinding or rolling. Because of this relevance, this roughness parameter has also to be taken into consideration in models showing the interactions between machined surfaces and an optical wave. The methodology presented in this study can be a useful tool in the quality control phase to keep under control the fabrication process parameters of manufactured objects in industrial environments. Surface Roughness Fractal Dimension Light Beam Surface Quality Machine Surface Najjar, D. aut Iost, A. aut Enthalten in Journal of materials science Kluwer Academic Publishers, 1966 38(2003), 11 vom: Juni, Seite 2525-2536 (DE-627)129546372 (DE-600)218324-9 (DE-576)014996774 0022-2461 nnns volume:38 year:2003 number:11 month:06 pages:2525-2536 https://doi.org/10.1023/A:1023929807546 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_20 GBV_ILN_21 GBV_ILN_23 GBV_ILN_30 GBV_ILN_32 GBV_ILN_40 GBV_ILN_62 GBV_ILN_65 GBV_ILN_70 GBV_ILN_100 GBV_ILN_602 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_4046 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4319 GBV_ILN_4323 AR 38 2003 11 06 2525-2536 |
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10.1023/A:1023929807546 doi (DE-627)OLC2046281659 (DE-He213)A:1023929807546-p DE-627 ger DE-627 rakwb eng 670 VZ Bigerelle, M. verfasserin aut Relevance of roughness parameters for describing and modelling machined surfaces 2003 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Kluwer Academic Publishers 2003 Abstract Describing and modelling a machined surface require the selection of relevant roughness parameters. However, this selection is difficult since a machined surface morphology can be described by a large number of roughness parameters. This investigation focuses on the roughness of metallic surfaces taking for two applications: a) the description of machined surface morphologies produced by grinding b) the relationships between machined surface morphologies (grinding or cold-rolling) and their brightness level when irradiated by the white light beam of an optical glossmeter used for industrial surface quality control. For each application, the aim is to determine, from an objective quantitative point of view, the relevance of one hundred or so surface roughness parameters. To reach this objective, a specific software program has been developed to determine a ranking of relevance thanks to the calculation of a computed statistical index of performance. The statistical results of this study show that the fractal dimension estimated by an original method is the most relevant roughness parameter to describe the surface morphology after grinding or rolling. Because of this relevance, this roughness parameter has also to be taken into consideration in models showing the interactions between machined surfaces and an optical wave. The methodology presented in this study can be a useful tool in the quality control phase to keep under control the fabrication process parameters of manufactured objects in industrial environments. Surface Roughness Fractal Dimension Light Beam Surface Quality Machine Surface Najjar, D. aut Iost, A. aut Enthalten in Journal of materials science Kluwer Academic Publishers, 1966 38(2003), 11 vom: Juni, Seite 2525-2536 (DE-627)129546372 (DE-600)218324-9 (DE-576)014996774 0022-2461 nnns volume:38 year:2003 number:11 month:06 pages:2525-2536 https://doi.org/10.1023/A:1023929807546 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_20 GBV_ILN_21 GBV_ILN_23 GBV_ILN_30 GBV_ILN_32 GBV_ILN_40 GBV_ILN_62 GBV_ILN_65 GBV_ILN_70 GBV_ILN_100 GBV_ILN_602 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_4046 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4319 GBV_ILN_4323 AR 38 2003 11 06 2525-2536 |
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10.1023/A:1023929807546 doi (DE-627)OLC2046281659 (DE-He213)A:1023929807546-p DE-627 ger DE-627 rakwb eng 670 VZ Bigerelle, M. verfasserin aut Relevance of roughness parameters for describing and modelling machined surfaces 2003 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Kluwer Academic Publishers 2003 Abstract Describing and modelling a machined surface require the selection of relevant roughness parameters. However, this selection is difficult since a machined surface morphology can be described by a large number of roughness parameters. This investigation focuses on the roughness of metallic surfaces taking for two applications: a) the description of machined surface morphologies produced by grinding b) the relationships between machined surface morphologies (grinding or cold-rolling) and their brightness level when irradiated by the white light beam of an optical glossmeter used for industrial surface quality control. For each application, the aim is to determine, from an objective quantitative point of view, the relevance of one hundred or so surface roughness parameters. To reach this objective, a specific software program has been developed to determine a ranking of relevance thanks to the calculation of a computed statistical index of performance. The statistical results of this study show that the fractal dimension estimated by an original method is the most relevant roughness parameter to describe the surface morphology after grinding or rolling. Because of this relevance, this roughness parameter has also to be taken into consideration in models showing the interactions between machined surfaces and an optical wave. The methodology presented in this study can be a useful tool in the quality control phase to keep under control the fabrication process parameters of manufactured objects in industrial environments. Surface Roughness Fractal Dimension Light Beam Surface Quality Machine Surface Najjar, D. aut Iost, A. aut Enthalten in Journal of materials science Kluwer Academic Publishers, 1966 38(2003), 11 vom: Juni, Seite 2525-2536 (DE-627)129546372 (DE-600)218324-9 (DE-576)014996774 0022-2461 nnns volume:38 year:2003 number:11 month:06 pages:2525-2536 https://doi.org/10.1023/A:1023929807546 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_20 GBV_ILN_21 GBV_ILN_23 GBV_ILN_30 GBV_ILN_32 GBV_ILN_40 GBV_ILN_62 GBV_ILN_65 GBV_ILN_70 GBV_ILN_100 GBV_ILN_602 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_4046 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4319 GBV_ILN_4323 AR 38 2003 11 06 2525-2536 |
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10.1023/A:1023929807546 doi (DE-627)OLC2046281659 (DE-He213)A:1023929807546-p DE-627 ger DE-627 rakwb eng 670 VZ Bigerelle, M. verfasserin aut Relevance of roughness parameters for describing and modelling machined surfaces 2003 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Kluwer Academic Publishers 2003 Abstract Describing and modelling a machined surface require the selection of relevant roughness parameters. However, this selection is difficult since a machined surface morphology can be described by a large number of roughness parameters. This investigation focuses on the roughness of metallic surfaces taking for two applications: a) the description of machined surface morphologies produced by grinding b) the relationships between machined surface morphologies (grinding or cold-rolling) and their brightness level when irradiated by the white light beam of an optical glossmeter used for industrial surface quality control. For each application, the aim is to determine, from an objective quantitative point of view, the relevance of one hundred or so surface roughness parameters. To reach this objective, a specific software program has been developed to determine a ranking of relevance thanks to the calculation of a computed statistical index of performance. The statistical results of this study show that the fractal dimension estimated by an original method is the most relevant roughness parameter to describe the surface morphology after grinding or rolling. Because of this relevance, this roughness parameter has also to be taken into consideration in models showing the interactions between machined surfaces and an optical wave. The methodology presented in this study can be a useful tool in the quality control phase to keep under control the fabrication process parameters of manufactured objects in industrial environments. Surface Roughness Fractal Dimension Light Beam Surface Quality Machine Surface Najjar, D. aut Iost, A. aut Enthalten in Journal of materials science Kluwer Academic Publishers, 1966 38(2003), 11 vom: Juni, Seite 2525-2536 (DE-627)129546372 (DE-600)218324-9 (DE-576)014996774 0022-2461 nnns volume:38 year:2003 number:11 month:06 pages:2525-2536 https://doi.org/10.1023/A:1023929807546 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_20 GBV_ILN_21 GBV_ILN_23 GBV_ILN_30 GBV_ILN_32 GBV_ILN_40 GBV_ILN_62 GBV_ILN_65 GBV_ILN_70 GBV_ILN_100 GBV_ILN_602 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_4046 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4319 GBV_ILN_4323 AR 38 2003 11 06 2525-2536 |
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10.1023/A:1023929807546 doi (DE-627)OLC2046281659 (DE-He213)A:1023929807546-p DE-627 ger DE-627 rakwb eng 670 VZ Bigerelle, M. verfasserin aut Relevance of roughness parameters for describing and modelling machined surfaces 2003 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Kluwer Academic Publishers 2003 Abstract Describing and modelling a machined surface require the selection of relevant roughness parameters. However, this selection is difficult since a machined surface morphology can be described by a large number of roughness parameters. This investigation focuses on the roughness of metallic surfaces taking for two applications: a) the description of machined surface morphologies produced by grinding b) the relationships between machined surface morphologies (grinding or cold-rolling) and their brightness level when irradiated by the white light beam of an optical glossmeter used for industrial surface quality control. For each application, the aim is to determine, from an objective quantitative point of view, the relevance of one hundred or so surface roughness parameters. To reach this objective, a specific software program has been developed to determine a ranking of relevance thanks to the calculation of a computed statistical index of performance. The statistical results of this study show that the fractal dimension estimated by an original method is the most relevant roughness parameter to describe the surface morphology after grinding or rolling. Because of this relevance, this roughness parameter has also to be taken into consideration in models showing the interactions between machined surfaces and an optical wave. The methodology presented in this study can be a useful tool in the quality control phase to keep under control the fabrication process parameters of manufactured objects in industrial environments. Surface Roughness Fractal Dimension Light Beam Surface Quality Machine Surface Najjar, D. aut Iost, A. aut Enthalten in Journal of materials science Kluwer Academic Publishers, 1966 38(2003), 11 vom: Juni, Seite 2525-2536 (DE-627)129546372 (DE-600)218324-9 (DE-576)014996774 0022-2461 nnns volume:38 year:2003 number:11 month:06 pages:2525-2536 https://doi.org/10.1023/A:1023929807546 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_20 GBV_ILN_21 GBV_ILN_23 GBV_ILN_30 GBV_ILN_32 GBV_ILN_40 GBV_ILN_62 GBV_ILN_65 GBV_ILN_70 GBV_ILN_100 GBV_ILN_602 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_4046 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4319 GBV_ILN_4323 AR 38 2003 11 06 2525-2536 |
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However, this selection is difficult since a machined surface morphology can be described by a large number of roughness parameters. This investigation focuses on the roughness of metallic surfaces taking for two applications: a) the description of machined surface morphologies produced by grinding b) the relationships between machined surface morphologies (grinding or cold-rolling) and their brightness level when irradiated by the white light beam of an optical glossmeter used for industrial surface quality control. For each application, the aim is to determine, from an objective quantitative point of view, the relevance of one hundred or so surface roughness parameters. To reach this objective, a specific software program has been developed to determine a ranking of relevance thanks to the calculation of a computed statistical index of performance. 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Relevance of roughness parameters for describing and modelling machined surfaces |
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Abstract Describing and modelling a machined surface require the selection of relevant roughness parameters. However, this selection is difficult since a machined surface morphology can be described by a large number of roughness parameters. This investigation focuses on the roughness of metallic surfaces taking for two applications: a) the description of machined surface morphologies produced by grinding b) the relationships between machined surface morphologies (grinding or cold-rolling) and their brightness level when irradiated by the white light beam of an optical glossmeter used for industrial surface quality control. For each application, the aim is to determine, from an objective quantitative point of view, the relevance of one hundred or so surface roughness parameters. To reach this objective, a specific software program has been developed to determine a ranking of relevance thanks to the calculation of a computed statistical index of performance. The statistical results of this study show that the fractal dimension estimated by an original method is the most relevant roughness parameter to describe the surface morphology after grinding or rolling. Because of this relevance, this roughness parameter has also to be taken into consideration in models showing the interactions between machined surfaces and an optical wave. The methodology presented in this study can be a useful tool in the quality control phase to keep under control the fabrication process parameters of manufactured objects in industrial environments. © Kluwer Academic Publishers 2003 |
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Abstract Describing and modelling a machined surface require the selection of relevant roughness parameters. However, this selection is difficult since a machined surface morphology can be described by a large number of roughness parameters. This investigation focuses on the roughness of metallic surfaces taking for two applications: a) the description of machined surface morphologies produced by grinding b) the relationships between machined surface morphologies (grinding or cold-rolling) and their brightness level when irradiated by the white light beam of an optical glossmeter used for industrial surface quality control. For each application, the aim is to determine, from an objective quantitative point of view, the relevance of one hundred or so surface roughness parameters. To reach this objective, a specific software program has been developed to determine a ranking of relevance thanks to the calculation of a computed statistical index of performance. The statistical results of this study show that the fractal dimension estimated by an original method is the most relevant roughness parameter to describe the surface morphology after grinding or rolling. Because of this relevance, this roughness parameter has also to be taken into consideration in models showing the interactions between machined surfaces and an optical wave. The methodology presented in this study can be a useful tool in the quality control phase to keep under control the fabrication process parameters of manufactured objects in industrial environments. © Kluwer Academic Publishers 2003 |
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Abstract Describing and modelling a machined surface require the selection of relevant roughness parameters. However, this selection is difficult since a machined surface morphology can be described by a large number of roughness parameters. This investigation focuses on the roughness of metallic surfaces taking for two applications: a) the description of machined surface morphologies produced by grinding b) the relationships between machined surface morphologies (grinding or cold-rolling) and their brightness level when irradiated by the white light beam of an optical glossmeter used for industrial surface quality control. For each application, the aim is to determine, from an objective quantitative point of view, the relevance of one hundred or so surface roughness parameters. To reach this objective, a specific software program has been developed to determine a ranking of relevance thanks to the calculation of a computed statistical index of performance. The statistical results of this study show that the fractal dimension estimated by an original method is the most relevant roughness parameter to describe the surface morphology after grinding or rolling. Because of this relevance, this roughness parameter has also to be taken into consideration in models showing the interactions between machined surfaces and an optical wave. The methodology presented in this study can be a useful tool in the quality control phase to keep under control the fabrication process parameters of manufactured objects in industrial environments. © Kluwer Academic Publishers 2003 |
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