Application of machine learning on tool path optimisation and cooling lubricant in induction heating-assisted single point incremental sheet forming of Ti-6Al-4V sheets
Abstract Induction heating-assisted single point incremental sheet forming was established for Ti-6Al-4V thin sheets at closed and above beta-transus temperature (980 °C). In order to eliminate geometric inaccuracy and adherence of lubricant on the surface caused by elevated temperature, a cooling l...
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| Autor*in: |
Li, Weining [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2022 |
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| Schlagwörter: |
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| Anmerkung: |
© The Author(s) 2022 |
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| Übergeordnetes Werk: |
Enthalten in: The international journal of advanced manufacturing technology - Springer London, 1985, 123(2022), 3-4 vom: 05. Okt., Seite 821-838 |
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| Übergeordnetes Werk: |
volume:123 ; year:2022 ; number:3-4 ; day:05 ; month:10 ; pages:821-838 |
| Links: |
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| DOI / URN: |
10.1007/s00170-022-10213-3 |
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| Katalog-ID: |
OLC2079815989 |
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| 245 | 1 | 0 | |a Application of machine learning on tool path optimisation and cooling lubricant in induction heating-assisted single point incremental sheet forming of Ti-6Al-4V sheets |
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| 520 | |a Abstract Induction heating-assisted single point incremental sheet forming was established for Ti-6Al-4V thin sheets at closed and above beta-transus temperature (980 °C). In order to eliminate geometric inaccuracy and adherence of lubricant on the surface caused by elevated temperature, a cooling lubricant system was designed for the forming tool to decrease the thermal expansion and friction. A radial basis function (RBF)-based tool path optimisation was developed to study the measured geometric accuracy, temperature, and forming force. By adjusting cooling lubricant control and integrating the RBF framework, the first optimised tool path was used to collect the results and to validate with the finite element (FE) model and theoretical geometric profiles. The output data were further studied by RBF and generate a second optimised tool path. The measured geometric coordinates revealed that the error percentage has been reduced to less than 5%. Further, the microstructure evolution analysed by scanning electron microscopy (SEM) indicated noticeable oxidation and alpha-layer for temperature around 1040 °C and the phenomenon was removed at temperature closed to 950 °C. The surface roughness and energy-dispersive X-ray analysis (EDX) revealed the optimised tool path distributed significant improvement in surface quality. The cooling lubricant system indicated optimal performance with RBF optimised tool path to support constant temperature and reduce friction and lubricant adherence on the surface. | ||
| 650 | 4 | |a High-temperature incremental sheet forming of Ti-6Al-4V | |
| 650 | 4 | |a Machine learning network | |
| 650 | 4 | |a Tool design | |
| 650 | 4 | |a Geometric accuracy | |
| 650 | 4 | |a Surface roughness | |
| 650 | 4 | |a Microstructural analysis | |
| 700 | 1 | |a Shu, Chang |4 aut | |
| 700 | 1 | |a Hassan, Ali |4 aut | |
| 700 | 1 | |a Attallah, Moataz M. |0 (orcid)0000-0002-7074-9522 |4 aut | |
| 700 | 1 | |a Essa, Khamis |0 (orcid)0000-0001-6090-0869 |4 aut | |
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10.1007/s00170-022-10213-3 doi (DE-627)OLC2079815989 (DE-He213)s00170-022-10213-3-p DE-627 ger DE-627 rakwb eng 670 VZ Li, Weining verfasserin (orcid)0000-0002-8844-564X aut Application of machine learning on tool path optimisation and cooling lubricant in induction heating-assisted single point incremental sheet forming of Ti-6Al-4V sheets 2022 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s) 2022 Abstract Induction heating-assisted single point incremental sheet forming was established for Ti-6Al-4V thin sheets at closed and above beta-transus temperature (980 °C). In order to eliminate geometric inaccuracy and adherence of lubricant on the surface caused by elevated temperature, a cooling lubricant system was designed for the forming tool to decrease the thermal expansion and friction. A radial basis function (RBF)-based tool path optimisation was developed to study the measured geometric accuracy, temperature, and forming force. By adjusting cooling lubricant control and integrating the RBF framework, the first optimised tool path was used to collect the results and to validate with the finite element (FE) model and theoretical geometric profiles. The output data were further studied by RBF and generate a second optimised tool path. The measured geometric coordinates revealed that the error percentage has been reduced to less than 5%. Further, the microstructure evolution analysed by scanning electron microscopy (SEM) indicated noticeable oxidation and alpha-layer for temperature around 1040 °C and the phenomenon was removed at temperature closed to 950 °C. The surface roughness and energy-dispersive X-ray analysis (EDX) revealed the optimised tool path distributed significant improvement in surface quality. The cooling lubricant system indicated optimal performance with RBF optimised tool path to support constant temperature and reduce friction and lubricant adherence on the surface. High-temperature incremental sheet forming of Ti-6Al-4V Machine learning network Tool design Geometric accuracy Surface roughness Microstructural analysis Shu, Chang aut Hassan, Ali aut Attallah, Moataz M. (orcid)0000-0002-7074-9522 aut Essa, Khamis (orcid)0000-0001-6090-0869 aut Enthalten in The international journal of advanced manufacturing technology Springer London, 1985 123(2022), 3-4 vom: 05. Okt., Seite 821-838 (DE-627)129185299 (DE-600)52651-4 (DE-576)014456192 0268-3768 nnns volume:123 year:2022 number:3-4 day:05 month:10 pages:821-838 https://doi.org/10.1007/s00170-022-10213-3 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_2018 GBV_ILN_2333 AR 123 2022 3-4 05 10 821-838 |
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10.1007/s00170-022-10213-3 doi (DE-627)OLC2079815989 (DE-He213)s00170-022-10213-3-p DE-627 ger DE-627 rakwb eng 670 VZ Li, Weining verfasserin (orcid)0000-0002-8844-564X aut Application of machine learning on tool path optimisation and cooling lubricant in induction heating-assisted single point incremental sheet forming of Ti-6Al-4V sheets 2022 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s) 2022 Abstract Induction heating-assisted single point incremental sheet forming was established for Ti-6Al-4V thin sheets at closed and above beta-transus temperature (980 °C). In order to eliminate geometric inaccuracy and adherence of lubricant on the surface caused by elevated temperature, a cooling lubricant system was designed for the forming tool to decrease the thermal expansion and friction. A radial basis function (RBF)-based tool path optimisation was developed to study the measured geometric accuracy, temperature, and forming force. By adjusting cooling lubricant control and integrating the RBF framework, the first optimised tool path was used to collect the results and to validate with the finite element (FE) model and theoretical geometric profiles. The output data were further studied by RBF and generate a second optimised tool path. The measured geometric coordinates revealed that the error percentage has been reduced to less than 5%. Further, the microstructure evolution analysed by scanning electron microscopy (SEM) indicated noticeable oxidation and alpha-layer for temperature around 1040 °C and the phenomenon was removed at temperature closed to 950 °C. The surface roughness and energy-dispersive X-ray analysis (EDX) revealed the optimised tool path distributed significant improvement in surface quality. The cooling lubricant system indicated optimal performance with RBF optimised tool path to support constant temperature and reduce friction and lubricant adherence on the surface. High-temperature incremental sheet forming of Ti-6Al-4V Machine learning network Tool design Geometric accuracy Surface roughness Microstructural analysis Shu, Chang aut Hassan, Ali aut Attallah, Moataz M. (orcid)0000-0002-7074-9522 aut Essa, Khamis (orcid)0000-0001-6090-0869 aut Enthalten in The international journal of advanced manufacturing technology Springer London, 1985 123(2022), 3-4 vom: 05. Okt., Seite 821-838 (DE-627)129185299 (DE-600)52651-4 (DE-576)014456192 0268-3768 nnns volume:123 year:2022 number:3-4 day:05 month:10 pages:821-838 https://doi.org/10.1007/s00170-022-10213-3 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_2018 GBV_ILN_2333 AR 123 2022 3-4 05 10 821-838 |
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10.1007/s00170-022-10213-3 doi (DE-627)OLC2079815989 (DE-He213)s00170-022-10213-3-p DE-627 ger DE-627 rakwb eng 670 VZ Li, Weining verfasserin (orcid)0000-0002-8844-564X aut Application of machine learning on tool path optimisation and cooling lubricant in induction heating-assisted single point incremental sheet forming of Ti-6Al-4V sheets 2022 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s) 2022 Abstract Induction heating-assisted single point incremental sheet forming was established for Ti-6Al-4V thin sheets at closed and above beta-transus temperature (980 °C). In order to eliminate geometric inaccuracy and adherence of lubricant on the surface caused by elevated temperature, a cooling lubricant system was designed for the forming tool to decrease the thermal expansion and friction. A radial basis function (RBF)-based tool path optimisation was developed to study the measured geometric accuracy, temperature, and forming force. By adjusting cooling lubricant control and integrating the RBF framework, the first optimised tool path was used to collect the results and to validate with the finite element (FE) model and theoretical geometric profiles. The output data were further studied by RBF and generate a second optimised tool path. The measured geometric coordinates revealed that the error percentage has been reduced to less than 5%. Further, the microstructure evolution analysed by scanning electron microscopy (SEM) indicated noticeable oxidation and alpha-layer for temperature around 1040 °C and the phenomenon was removed at temperature closed to 950 °C. The surface roughness and energy-dispersive X-ray analysis (EDX) revealed the optimised tool path distributed significant improvement in surface quality. The cooling lubricant system indicated optimal performance with RBF optimised tool path to support constant temperature and reduce friction and lubricant adherence on the surface. High-temperature incremental sheet forming of Ti-6Al-4V Machine learning network Tool design Geometric accuracy Surface roughness Microstructural analysis Shu, Chang aut Hassan, Ali aut Attallah, Moataz M. (orcid)0000-0002-7074-9522 aut Essa, Khamis (orcid)0000-0001-6090-0869 aut Enthalten in The international journal of advanced manufacturing technology Springer London, 1985 123(2022), 3-4 vom: 05. Okt., Seite 821-838 (DE-627)129185299 (DE-600)52651-4 (DE-576)014456192 0268-3768 nnns volume:123 year:2022 number:3-4 day:05 month:10 pages:821-838 https://doi.org/10.1007/s00170-022-10213-3 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_2018 GBV_ILN_2333 AR 123 2022 3-4 05 10 821-838 |
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10.1007/s00170-022-10213-3 doi (DE-627)OLC2079815989 (DE-He213)s00170-022-10213-3-p DE-627 ger DE-627 rakwb eng 670 VZ Li, Weining verfasserin (orcid)0000-0002-8844-564X aut Application of machine learning on tool path optimisation and cooling lubricant in induction heating-assisted single point incremental sheet forming of Ti-6Al-4V sheets 2022 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s) 2022 Abstract Induction heating-assisted single point incremental sheet forming was established for Ti-6Al-4V thin sheets at closed and above beta-transus temperature (980 °C). In order to eliminate geometric inaccuracy and adherence of lubricant on the surface caused by elevated temperature, a cooling lubricant system was designed for the forming tool to decrease the thermal expansion and friction. A radial basis function (RBF)-based tool path optimisation was developed to study the measured geometric accuracy, temperature, and forming force. By adjusting cooling lubricant control and integrating the RBF framework, the first optimised tool path was used to collect the results and to validate with the finite element (FE) model and theoretical geometric profiles. The output data were further studied by RBF and generate a second optimised tool path. The measured geometric coordinates revealed that the error percentage has been reduced to less than 5%. Further, the microstructure evolution analysed by scanning electron microscopy (SEM) indicated noticeable oxidation and alpha-layer for temperature around 1040 °C and the phenomenon was removed at temperature closed to 950 °C. The surface roughness and energy-dispersive X-ray analysis (EDX) revealed the optimised tool path distributed significant improvement in surface quality. The cooling lubricant system indicated optimal performance with RBF optimised tool path to support constant temperature and reduce friction and lubricant adherence on the surface. High-temperature incremental sheet forming of Ti-6Al-4V Machine learning network Tool design Geometric accuracy Surface roughness Microstructural analysis Shu, Chang aut Hassan, Ali aut Attallah, Moataz M. (orcid)0000-0002-7074-9522 aut Essa, Khamis (orcid)0000-0001-6090-0869 aut Enthalten in The international journal of advanced manufacturing technology Springer London, 1985 123(2022), 3-4 vom: 05. Okt., Seite 821-838 (DE-627)129185299 (DE-600)52651-4 (DE-576)014456192 0268-3768 nnns volume:123 year:2022 number:3-4 day:05 month:10 pages:821-838 https://doi.org/10.1007/s00170-022-10213-3 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_2018 GBV_ILN_2333 AR 123 2022 3-4 05 10 821-838 |
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10.1007/s00170-022-10213-3 doi (DE-627)OLC2079815989 (DE-He213)s00170-022-10213-3-p DE-627 ger DE-627 rakwb eng 670 VZ Li, Weining verfasserin (orcid)0000-0002-8844-564X aut Application of machine learning on tool path optimisation and cooling lubricant in induction heating-assisted single point incremental sheet forming of Ti-6Al-4V sheets 2022 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s) 2022 Abstract Induction heating-assisted single point incremental sheet forming was established for Ti-6Al-4V thin sheets at closed and above beta-transus temperature (980 °C). In order to eliminate geometric inaccuracy and adherence of lubricant on the surface caused by elevated temperature, a cooling lubricant system was designed for the forming tool to decrease the thermal expansion and friction. A radial basis function (RBF)-based tool path optimisation was developed to study the measured geometric accuracy, temperature, and forming force. By adjusting cooling lubricant control and integrating the RBF framework, the first optimised tool path was used to collect the results and to validate with the finite element (FE) model and theoretical geometric profiles. The output data were further studied by RBF and generate a second optimised tool path. The measured geometric coordinates revealed that the error percentage has been reduced to less than 5%. Further, the microstructure evolution analysed by scanning electron microscopy (SEM) indicated noticeable oxidation and alpha-layer for temperature around 1040 °C and the phenomenon was removed at temperature closed to 950 °C. The surface roughness and energy-dispersive X-ray analysis (EDX) revealed the optimised tool path distributed significant improvement in surface quality. The cooling lubricant system indicated optimal performance with RBF optimised tool path to support constant temperature and reduce friction and lubricant adherence on the surface. High-temperature incremental sheet forming of Ti-6Al-4V Machine learning network Tool design Geometric accuracy Surface roughness Microstructural analysis Shu, Chang aut Hassan, Ali aut Attallah, Moataz M. (orcid)0000-0002-7074-9522 aut Essa, Khamis (orcid)0000-0001-6090-0869 aut Enthalten in The international journal of advanced manufacturing technology Springer London, 1985 123(2022), 3-4 vom: 05. Okt., Seite 821-838 (DE-627)129185299 (DE-600)52651-4 (DE-576)014456192 0268-3768 nnns volume:123 year:2022 number:3-4 day:05 month:10 pages:821-838 https://doi.org/10.1007/s00170-022-10213-3 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_2018 GBV_ILN_2333 AR 123 2022 3-4 05 10 821-838 |
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670 VZ Application of machine learning on tool path optimisation and cooling lubricant in induction heating-assisted single point incremental sheet forming of Ti-6Al-4V sheets High-temperature incremental sheet forming of Ti-6Al-4V Machine learning network Tool design Geometric accuracy Surface roughness Microstructural analysis |
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ddc 670 misc High-temperature incremental sheet forming of Ti-6Al-4V misc Machine learning network misc Tool design misc Geometric accuracy misc Surface roughness misc Microstructural analysis |
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Application of machine learning on tool path optimisation and cooling lubricant in induction heating-assisted single point incremental sheet forming of Ti-6Al-4V sheets |
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Application of machine learning on tool path optimisation and cooling lubricant in induction heating-assisted single point incremental sheet forming of Ti-6Al-4V sheets |
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Li, Weining |
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The international journal of advanced manufacturing technology |
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Li, Weining Shu, Chang Hassan, Ali Attallah, Moataz M. Essa, Khamis |
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Li, Weining |
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10.1007/s00170-022-10213-3 |
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application of machine learning on tool path optimisation and cooling lubricant in induction heating-assisted single point incremental sheet forming of ti-6al-4v sheets |
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Application of machine learning on tool path optimisation and cooling lubricant in induction heating-assisted single point incremental sheet forming of Ti-6Al-4V sheets |
| abstract |
Abstract Induction heating-assisted single point incremental sheet forming was established for Ti-6Al-4V thin sheets at closed and above beta-transus temperature (980 °C). In order to eliminate geometric inaccuracy and adherence of lubricant on the surface caused by elevated temperature, a cooling lubricant system was designed for the forming tool to decrease the thermal expansion and friction. A radial basis function (RBF)-based tool path optimisation was developed to study the measured geometric accuracy, temperature, and forming force. By adjusting cooling lubricant control and integrating the RBF framework, the first optimised tool path was used to collect the results and to validate with the finite element (FE) model and theoretical geometric profiles. The output data were further studied by RBF and generate a second optimised tool path. The measured geometric coordinates revealed that the error percentage has been reduced to less than 5%. Further, the microstructure evolution analysed by scanning electron microscopy (SEM) indicated noticeable oxidation and alpha-layer for temperature around 1040 °C and the phenomenon was removed at temperature closed to 950 °C. The surface roughness and energy-dispersive X-ray analysis (EDX) revealed the optimised tool path distributed significant improvement in surface quality. The cooling lubricant system indicated optimal performance with RBF optimised tool path to support constant temperature and reduce friction and lubricant adherence on the surface. © The Author(s) 2022 |
| abstractGer |
Abstract Induction heating-assisted single point incremental sheet forming was established for Ti-6Al-4V thin sheets at closed and above beta-transus temperature (980 °C). In order to eliminate geometric inaccuracy and adherence of lubricant on the surface caused by elevated temperature, a cooling lubricant system was designed for the forming tool to decrease the thermal expansion and friction. A radial basis function (RBF)-based tool path optimisation was developed to study the measured geometric accuracy, temperature, and forming force. By adjusting cooling lubricant control and integrating the RBF framework, the first optimised tool path was used to collect the results and to validate with the finite element (FE) model and theoretical geometric profiles. The output data were further studied by RBF and generate a second optimised tool path. The measured geometric coordinates revealed that the error percentage has been reduced to less than 5%. Further, the microstructure evolution analysed by scanning electron microscopy (SEM) indicated noticeable oxidation and alpha-layer for temperature around 1040 °C and the phenomenon was removed at temperature closed to 950 °C. The surface roughness and energy-dispersive X-ray analysis (EDX) revealed the optimised tool path distributed significant improvement in surface quality. The cooling lubricant system indicated optimal performance with RBF optimised tool path to support constant temperature and reduce friction and lubricant adherence on the surface. © The Author(s) 2022 |
| abstract_unstemmed |
Abstract Induction heating-assisted single point incremental sheet forming was established for Ti-6Al-4V thin sheets at closed and above beta-transus temperature (980 °C). In order to eliminate geometric inaccuracy and adherence of lubricant on the surface caused by elevated temperature, a cooling lubricant system was designed for the forming tool to decrease the thermal expansion and friction. A radial basis function (RBF)-based tool path optimisation was developed to study the measured geometric accuracy, temperature, and forming force. By adjusting cooling lubricant control and integrating the RBF framework, the first optimised tool path was used to collect the results and to validate with the finite element (FE) model and theoretical geometric profiles. The output data were further studied by RBF and generate a second optimised tool path. The measured geometric coordinates revealed that the error percentage has been reduced to less than 5%. Further, the microstructure evolution analysed by scanning electron microscopy (SEM) indicated noticeable oxidation and alpha-layer for temperature around 1040 °C and the phenomenon was removed at temperature closed to 950 °C. The surface roughness and energy-dispersive X-ray analysis (EDX) revealed the optimised tool path distributed significant improvement in surface quality. The cooling lubricant system indicated optimal performance with RBF optimised tool path to support constant temperature and reduce friction and lubricant adherence on the surface. © The Author(s) 2022 |
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| title_short |
Application of machine learning on tool path optimisation and cooling lubricant in induction heating-assisted single point incremental sheet forming of Ti-6Al-4V sheets |
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https://doi.org/10.1007/s00170-022-10213-3 |
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Shu, Chang Hassan, Ali Attallah, Moataz M. Essa, Khamis |
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