An adaptive repair surface modeling approach for worn blades
Abstract Currently, worn blade repair work, obtaining the target surfaces manually wastes too much time. To improve repair ability, an innovative adaptive repair strategy is proposed which covers pre-inspection, welding, and machining process. Different from finding repairing surface manually, the w...
Ausführliche Beschreibung
Autor*in: |
Hou, Feiru [verfasserIn] |
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Artikel |
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Sprache: |
Englisch |
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2017 |
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Anmerkung: |
© Springer-Verlag London Ltd. 2017 |
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Übergeordnetes Werk: |
Enthalten in: The international journal of advanced manufacturing technology - Springer London, 1985, 94(2017), 1-4 vom: 12. Aug., Seite 523-532 |
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Übergeordnetes Werk: |
volume:94 ; year:2017 ; number:1-4 ; day:12 ; month:08 ; pages:523-532 |
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DOI / URN: |
10.1007/s00170-017-0859-z |
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OLC2026111413 |
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520 | |a Abstract Currently, worn blade repair work, obtaining the target surfaces manually wastes too much time. To improve repair ability, an innovative adaptive repair strategy is proposed which covers pre-inspection, welding, and machining process. Different from finding repairing surface manually, the welded surface and machining surface are restructured with less manual intervention. The welded surface ensured enough material for subsequent machining is captured by extracting upper profile boundary surface of its design one. Furthermore, a target machining surface satisfied design requirements, machining allowance, and geometric continuity is restructured using an effective optimization method. To prove the availability of the proposed method in this paper, a compressor blade repair instance, including welded surface and machining surface optimization and simulation is demonstrated at last. | ||
650 | 4 | |a Adaptive repairing | |
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10.1007/s00170-017-0859-z doi (DE-627)OLC2026111413 (DE-He213)s00170-017-0859-z-p DE-627 ger DE-627 rakwb eng 670 VZ Hou, Feiru verfasserin (orcid)0000-0002-8379-869X aut An adaptive repair surface modeling approach for worn blades 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag London Ltd. 2017 Abstract Currently, worn blade repair work, obtaining the target surfaces manually wastes too much time. To improve repair ability, an innovative adaptive repair strategy is proposed which covers pre-inspection, welding, and machining process. Different from finding repairing surface manually, the welded surface and machining surface are restructured with less manual intervention. The welded surface ensured enough material for subsequent machining is captured by extracting upper profile boundary surface of its design one. Furthermore, a target machining surface satisfied design requirements, machining allowance, and geometric continuity is restructured using an effective optimization method. To prove the availability of the proposed method in this paper, a compressor blade repair instance, including welded surface and machining surface optimization and simulation is demonstrated at last. Adaptive repairing Profile tolerance Shape optimization Geometric continuity Wan, Neng aut Chang, Zhiyong aut Chen, Zezhong aut Sun, Huibin aut Enthalten in The international journal of advanced manufacturing technology Springer London, 1985 94(2017), 1-4 vom: 12. Aug., Seite 523-532 (DE-627)129185299 (DE-600)52651-4 (DE-576)014456192 0268-3768 nnns volume:94 year:2017 number:1-4 day:12 month:08 pages:523-532 https://doi.org/10.1007/s00170-017-0859-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_70 GBV_ILN_2018 GBV_ILN_2333 AR 94 2017 1-4 12 08 523-532 |
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10.1007/s00170-017-0859-z doi (DE-627)OLC2026111413 (DE-He213)s00170-017-0859-z-p DE-627 ger DE-627 rakwb eng 670 VZ Hou, Feiru verfasserin (orcid)0000-0002-8379-869X aut An adaptive repair surface modeling approach for worn blades 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag London Ltd. 2017 Abstract Currently, worn blade repair work, obtaining the target surfaces manually wastes too much time. To improve repair ability, an innovative adaptive repair strategy is proposed which covers pre-inspection, welding, and machining process. Different from finding repairing surface manually, the welded surface and machining surface are restructured with less manual intervention. The welded surface ensured enough material for subsequent machining is captured by extracting upper profile boundary surface of its design one. Furthermore, a target machining surface satisfied design requirements, machining allowance, and geometric continuity is restructured using an effective optimization method. To prove the availability of the proposed method in this paper, a compressor blade repair instance, including welded surface and machining surface optimization and simulation is demonstrated at last. Adaptive repairing Profile tolerance Shape optimization Geometric continuity Wan, Neng aut Chang, Zhiyong aut Chen, Zezhong aut Sun, Huibin aut Enthalten in The international journal of advanced manufacturing technology Springer London, 1985 94(2017), 1-4 vom: 12. Aug., Seite 523-532 (DE-627)129185299 (DE-600)52651-4 (DE-576)014456192 0268-3768 nnns volume:94 year:2017 number:1-4 day:12 month:08 pages:523-532 https://doi.org/10.1007/s00170-017-0859-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_70 GBV_ILN_2018 GBV_ILN_2333 AR 94 2017 1-4 12 08 523-532 |
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10.1007/s00170-017-0859-z doi (DE-627)OLC2026111413 (DE-He213)s00170-017-0859-z-p DE-627 ger DE-627 rakwb eng 670 VZ Hou, Feiru verfasserin (orcid)0000-0002-8379-869X aut An adaptive repair surface modeling approach for worn blades 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag London Ltd. 2017 Abstract Currently, worn blade repair work, obtaining the target surfaces manually wastes too much time. To improve repair ability, an innovative adaptive repair strategy is proposed which covers pre-inspection, welding, and machining process. Different from finding repairing surface manually, the welded surface and machining surface are restructured with less manual intervention. The welded surface ensured enough material for subsequent machining is captured by extracting upper profile boundary surface of its design one. Furthermore, a target machining surface satisfied design requirements, machining allowance, and geometric continuity is restructured using an effective optimization method. To prove the availability of the proposed method in this paper, a compressor blade repair instance, including welded surface and machining surface optimization and simulation is demonstrated at last. Adaptive repairing Profile tolerance Shape optimization Geometric continuity Wan, Neng aut Chang, Zhiyong aut Chen, Zezhong aut Sun, Huibin aut Enthalten in The international journal of advanced manufacturing technology Springer London, 1985 94(2017), 1-4 vom: 12. Aug., Seite 523-532 (DE-627)129185299 (DE-600)52651-4 (DE-576)014456192 0268-3768 nnns volume:94 year:2017 number:1-4 day:12 month:08 pages:523-532 https://doi.org/10.1007/s00170-017-0859-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_70 GBV_ILN_2018 GBV_ILN_2333 AR 94 2017 1-4 12 08 523-532 |
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10.1007/s00170-017-0859-z doi (DE-627)OLC2026111413 (DE-He213)s00170-017-0859-z-p DE-627 ger DE-627 rakwb eng 670 VZ Hou, Feiru verfasserin (orcid)0000-0002-8379-869X aut An adaptive repair surface modeling approach for worn blades 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag London Ltd. 2017 Abstract Currently, worn blade repair work, obtaining the target surfaces manually wastes too much time. To improve repair ability, an innovative adaptive repair strategy is proposed which covers pre-inspection, welding, and machining process. Different from finding repairing surface manually, the welded surface and machining surface are restructured with less manual intervention. The welded surface ensured enough material for subsequent machining is captured by extracting upper profile boundary surface of its design one. Furthermore, a target machining surface satisfied design requirements, machining allowance, and geometric continuity is restructured using an effective optimization method. To prove the availability of the proposed method in this paper, a compressor blade repair instance, including welded surface and machining surface optimization and simulation is demonstrated at last. Adaptive repairing Profile tolerance Shape optimization Geometric continuity Wan, Neng aut Chang, Zhiyong aut Chen, Zezhong aut Sun, Huibin aut Enthalten in The international journal of advanced manufacturing technology Springer London, 1985 94(2017), 1-4 vom: 12. Aug., Seite 523-532 (DE-627)129185299 (DE-600)52651-4 (DE-576)014456192 0268-3768 nnns volume:94 year:2017 number:1-4 day:12 month:08 pages:523-532 https://doi.org/10.1007/s00170-017-0859-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_70 GBV_ILN_2018 GBV_ILN_2333 AR 94 2017 1-4 12 08 523-532 |
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Abstract Currently, worn blade repair work, obtaining the target surfaces manually wastes too much time. To improve repair ability, an innovative adaptive repair strategy is proposed which covers pre-inspection, welding, and machining process. Different from finding repairing surface manually, the welded surface and machining surface are restructured with less manual intervention. The welded surface ensured enough material for subsequent machining is captured by extracting upper profile boundary surface of its design one. Furthermore, a target machining surface satisfied design requirements, machining allowance, and geometric continuity is restructured using an effective optimization method. To prove the availability of the proposed method in this paper, a compressor blade repair instance, including welded surface and machining surface optimization and simulation is demonstrated at last. © Springer-Verlag London Ltd. 2017 |
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Abstract Currently, worn blade repair work, obtaining the target surfaces manually wastes too much time. To improve repair ability, an innovative adaptive repair strategy is proposed which covers pre-inspection, welding, and machining process. Different from finding repairing surface manually, the welded surface and machining surface are restructured with less manual intervention. The welded surface ensured enough material for subsequent machining is captured by extracting upper profile boundary surface of its design one. Furthermore, a target machining surface satisfied design requirements, machining allowance, and geometric continuity is restructured using an effective optimization method. To prove the availability of the proposed method in this paper, a compressor blade repair instance, including welded surface and machining surface optimization and simulation is demonstrated at last. © Springer-Verlag London Ltd. 2017 |
abstract_unstemmed |
Abstract Currently, worn blade repair work, obtaining the target surfaces manually wastes too much time. To improve repair ability, an innovative adaptive repair strategy is proposed which covers pre-inspection, welding, and machining process. Different from finding repairing surface manually, the welded surface and machining surface are restructured with less manual intervention. The welded surface ensured enough material for subsequent machining is captured by extracting upper profile boundary surface of its design one. Furthermore, a target machining surface satisfied design requirements, machining allowance, and geometric continuity is restructured using an effective optimization method. To prove the availability of the proposed method in this paper, a compressor blade repair instance, including welded surface and machining surface optimization and simulation is demonstrated at last. © Springer-Verlag London Ltd. 2017 |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">OLC2026111413</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230323141432.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">200820s2017 xx ||||| 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s00170-017-0859-z</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC2026111413</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-He213)s00170-017-0859-z-p</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">670</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Hou, Feiru</subfield><subfield code="e">verfasserin</subfield><subfield code="0">(orcid)0000-0002-8379-869X</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">An adaptive repair surface modeling approach for worn blades</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2017</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">ohne Hilfsmittel zu benutzen</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Band</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© Springer-Verlag London Ltd. 2017</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract Currently, worn blade repair work, obtaining the target surfaces manually wastes too much time. To improve repair ability, an innovative adaptive repair strategy is proposed which covers pre-inspection, welding, and machining process. Different from finding repairing surface manually, the welded surface and machining surface are restructured with less manual intervention. The welded surface ensured enough material for subsequent machining is captured by extracting upper profile boundary surface of its design one. Furthermore, a target machining surface satisfied design requirements, machining allowance, and geometric continuity is restructured using an effective optimization method. 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