Analytical model of workpiece temperature in end milling <ce:italic>in-situ</ce:italic> TiB<ce:inf loc="post">2</ce:inf>/7050Al metal matrix composites
• An attempt was made to establish a temperature model for predicting cutting temperature of a new kind of metal matrix composites (MMCs), whose analytical temperature models do not exist at present. • The temperature model of workpiece, which was machined by the bottom cutting edge of a flat end mi...
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| Autor*in: |
Xiong, Yifeng [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2018transfer abstract |
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13 |
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| Übergeordnetes Werk: |
Enthalten in: Evaluation of color changes in PV modules using reflectance measurements - Rosillo, F.G. ELSEVIER, 2018, Amsterdam [u.a.] |
|---|---|
| Übergeordnetes Werk: |
volume:149 ; year:2018 ; pages:285-297 ; extent:13 |
| Links: |
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| DOI / URN: |
10.1016/j.ijmecsci.2018.10.008 |
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ELV044557582 |
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| 520 | |a • An attempt was made to establish a temperature model for predicting cutting temperature of a new kind of metal matrix composites (MMCs), whose analytical temperature models do not exist at present. • The temperature model of workpiece, which was machined by the bottom cutting edge of a flat end mill in end milling process, was proposed. • With validation, the temperature model proposed in this study was able to predict the temperature of workpiece surface machined by the bottom cutting edge during end milling process. • The heat partition ratio Bs increased linearly as thermal number increased, which seems to be different from other researches. • This analytical model will be of great significance for both the temperature modeling work of end milling process and analytical modeling study of machining particle reinforced aluminum metal matrix composites. | ||
| 520 | |a • An attempt was made to establish a temperature model for predicting cutting temperature of a new kind of metal matrix composites (MMCs), whose analytical temperature models do not exist at present. • The temperature model of workpiece, which was machined by the bottom cutting edge of a flat end mill in end milling process, was proposed. • With validation, the temperature model proposed in this study was able to predict the temperature of workpiece surface machined by the bottom cutting edge during end milling process. • The heat partition ratio Bs increased linearly as thermal number increased, which seems to be different from other researches. • This analytical model will be of great significance for both the temperature modeling work of end milling process and analytical modeling study of machining particle reinforced aluminum metal matrix composites. | ||
| 700 | 1 | |a Wang, Wenhu |4 oth | |
| 700 | 1 | |a Jiang, Ruisong |4 oth | |
| 700 | 1 | |a Lin, Kunyang |4 oth | |
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10.1016/j.ijmecsci.2018.10.008 doi GBV00000000000521.pica (DE-627)ELV044557582 (ELSEVIER)S0020-7403(18)31601-1 DE-627 ger DE-627 rakwb eng 530 VZ 52.56 bkl Xiong, Yifeng verfasserin aut Analytical model of workpiece temperature in end milling <ce:italic>in-situ</ce:italic> TiB<ce:inf loc="post">2</ce:inf>/7050Al metal matrix composites 2018transfer abstract 13 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • An attempt was made to establish a temperature model for predicting cutting temperature of a new kind of metal matrix composites (MMCs), whose analytical temperature models do not exist at present. • The temperature model of workpiece, which was machined by the bottom cutting edge of a flat end mill in end milling process, was proposed. • With validation, the temperature model proposed in this study was able to predict the temperature of workpiece surface machined by the bottom cutting edge during end milling process. • The heat partition ratio Bs increased linearly as thermal number increased, which seems to be different from other researches. • This analytical model will be of great significance for both the temperature modeling work of end milling process and analytical modeling study of machining particle reinforced aluminum metal matrix composites. • An attempt was made to establish a temperature model for predicting cutting temperature of a new kind of metal matrix composites (MMCs), whose analytical temperature models do not exist at present. • The temperature model of workpiece, which was machined by the bottom cutting edge of a flat end mill in end milling process, was proposed. • With validation, the temperature model proposed in this study was able to predict the temperature of workpiece surface machined by the bottom cutting edge during end milling process. • The heat partition ratio Bs increased linearly as thermal number increased, which seems to be different from other researches. • This analytical model will be of great significance for both the temperature modeling work of end milling process and analytical modeling study of machining particle reinforced aluminum metal matrix composites. Wang, Wenhu oth Jiang, Ruisong oth Lin, Kunyang oth Enthalten in Elsevier Science Rosillo, F.G. ELSEVIER Evaluation of color changes in PV modules using reflectance measurements 2018 Amsterdam [u.a.] (DE-627)ELV001316990 volume:149 year:2018 pages:285-297 extent:13 https://doi.org/10.1016/j.ijmecsci.2018.10.008 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 52.56 Regenerative Energieformen alternative Energieformen VZ AR 149 2018 285-297 13 |
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10.1016/j.ijmecsci.2018.10.008 doi GBV00000000000521.pica (DE-627)ELV044557582 (ELSEVIER)S0020-7403(18)31601-1 DE-627 ger DE-627 rakwb eng 530 VZ 52.56 bkl Xiong, Yifeng verfasserin aut Analytical model of workpiece temperature in end milling <ce:italic>in-situ</ce:italic> TiB<ce:inf loc="post">2</ce:inf>/7050Al metal matrix composites 2018transfer abstract 13 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • An attempt was made to establish a temperature model for predicting cutting temperature of a new kind of metal matrix composites (MMCs), whose analytical temperature models do not exist at present. • The temperature model of workpiece, which was machined by the bottom cutting edge of a flat end mill in end milling process, was proposed. • With validation, the temperature model proposed in this study was able to predict the temperature of workpiece surface machined by the bottom cutting edge during end milling process. • The heat partition ratio Bs increased linearly as thermal number increased, which seems to be different from other researches. • This analytical model will be of great significance for both the temperature modeling work of end milling process and analytical modeling study of machining particle reinforced aluminum metal matrix composites. • An attempt was made to establish a temperature model for predicting cutting temperature of a new kind of metal matrix composites (MMCs), whose analytical temperature models do not exist at present. • The temperature model of workpiece, which was machined by the bottom cutting edge of a flat end mill in end milling process, was proposed. • With validation, the temperature model proposed in this study was able to predict the temperature of workpiece surface machined by the bottom cutting edge during end milling process. • The heat partition ratio Bs increased linearly as thermal number increased, which seems to be different from other researches. • This analytical model will be of great significance for both the temperature modeling work of end milling process and analytical modeling study of machining particle reinforced aluminum metal matrix composites. Wang, Wenhu oth Jiang, Ruisong oth Lin, Kunyang oth Enthalten in Elsevier Science Rosillo, F.G. ELSEVIER Evaluation of color changes in PV modules using reflectance measurements 2018 Amsterdam [u.a.] (DE-627)ELV001316990 volume:149 year:2018 pages:285-297 extent:13 https://doi.org/10.1016/j.ijmecsci.2018.10.008 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 52.56 Regenerative Energieformen alternative Energieformen VZ AR 149 2018 285-297 13 |
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10.1016/j.ijmecsci.2018.10.008 doi GBV00000000000521.pica (DE-627)ELV044557582 (ELSEVIER)S0020-7403(18)31601-1 DE-627 ger DE-627 rakwb eng 530 VZ 52.56 bkl Xiong, Yifeng verfasserin aut Analytical model of workpiece temperature in end milling <ce:italic>in-situ</ce:italic> TiB<ce:inf loc="post">2</ce:inf>/7050Al metal matrix composites 2018transfer abstract 13 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • An attempt was made to establish a temperature model for predicting cutting temperature of a new kind of metal matrix composites (MMCs), whose analytical temperature models do not exist at present. • The temperature model of workpiece, which was machined by the bottom cutting edge of a flat end mill in end milling process, was proposed. • With validation, the temperature model proposed in this study was able to predict the temperature of workpiece surface machined by the bottom cutting edge during end milling process. • The heat partition ratio Bs increased linearly as thermal number increased, which seems to be different from other researches. • This analytical model will be of great significance for both the temperature modeling work of end milling process and analytical modeling study of machining particle reinforced aluminum metal matrix composites. • An attempt was made to establish a temperature model for predicting cutting temperature of a new kind of metal matrix composites (MMCs), whose analytical temperature models do not exist at present. • The temperature model of workpiece, which was machined by the bottom cutting edge of a flat end mill in end milling process, was proposed. • With validation, the temperature model proposed in this study was able to predict the temperature of workpiece surface machined by the bottom cutting edge during end milling process. • The heat partition ratio Bs increased linearly as thermal number increased, which seems to be different from other researches. • This analytical model will be of great significance for both the temperature modeling work of end milling process and analytical modeling study of machining particle reinforced aluminum metal matrix composites. Wang, Wenhu oth Jiang, Ruisong oth Lin, Kunyang oth Enthalten in Elsevier Science Rosillo, F.G. ELSEVIER Evaluation of color changes in PV modules using reflectance measurements 2018 Amsterdam [u.a.] (DE-627)ELV001316990 volume:149 year:2018 pages:285-297 extent:13 https://doi.org/10.1016/j.ijmecsci.2018.10.008 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 52.56 Regenerative Energieformen alternative Energieformen VZ AR 149 2018 285-297 13 |
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10.1016/j.ijmecsci.2018.10.008 doi GBV00000000000521.pica (DE-627)ELV044557582 (ELSEVIER)S0020-7403(18)31601-1 DE-627 ger DE-627 rakwb eng 530 VZ 52.56 bkl Xiong, Yifeng verfasserin aut Analytical model of workpiece temperature in end milling <ce:italic>in-situ</ce:italic> TiB<ce:inf loc="post">2</ce:inf>/7050Al metal matrix composites 2018transfer abstract 13 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • An attempt was made to establish a temperature model for predicting cutting temperature of a new kind of metal matrix composites (MMCs), whose analytical temperature models do not exist at present. • The temperature model of workpiece, which was machined by the bottom cutting edge of a flat end mill in end milling process, was proposed. • With validation, the temperature model proposed in this study was able to predict the temperature of workpiece surface machined by the bottom cutting edge during end milling process. • The heat partition ratio Bs increased linearly as thermal number increased, which seems to be different from other researches. • This analytical model will be of great significance for both the temperature modeling work of end milling process and analytical modeling study of machining particle reinforced aluminum metal matrix composites. • An attempt was made to establish a temperature model for predicting cutting temperature of a new kind of metal matrix composites (MMCs), whose analytical temperature models do not exist at present. • The temperature model of workpiece, which was machined by the bottom cutting edge of a flat end mill in end milling process, was proposed. • With validation, the temperature model proposed in this study was able to predict the temperature of workpiece surface machined by the bottom cutting edge during end milling process. • The heat partition ratio Bs increased linearly as thermal number increased, which seems to be different from other researches. • This analytical model will be of great significance for both the temperature modeling work of end milling process and analytical modeling study of machining particle reinforced aluminum metal matrix composites. Wang, Wenhu oth Jiang, Ruisong oth Lin, Kunyang oth Enthalten in Elsevier Science Rosillo, F.G. ELSEVIER Evaluation of color changes in PV modules using reflectance measurements 2018 Amsterdam [u.a.] (DE-627)ELV001316990 volume:149 year:2018 pages:285-297 extent:13 https://doi.org/10.1016/j.ijmecsci.2018.10.008 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 52.56 Regenerative Energieformen alternative Energieformen VZ AR 149 2018 285-297 13 |
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Analytical model of workpiece temperature in end milling <ce:italic>in-situ</ce:italic> TiB<ce:inf loc="post">2</ce:inf>/7050Al metal matrix composites |
| abstract |
• An attempt was made to establish a temperature model for predicting cutting temperature of a new kind of metal matrix composites (MMCs), whose analytical temperature models do not exist at present. • The temperature model of workpiece, which was machined by the bottom cutting edge of a flat end mill in end milling process, was proposed. • With validation, the temperature model proposed in this study was able to predict the temperature of workpiece surface machined by the bottom cutting edge during end milling process. • The heat partition ratio Bs increased linearly as thermal number increased, which seems to be different from other researches. • This analytical model will be of great significance for both the temperature modeling work of end milling process and analytical modeling study of machining particle reinforced aluminum metal matrix composites. |
| abstractGer |
• An attempt was made to establish a temperature model for predicting cutting temperature of a new kind of metal matrix composites (MMCs), whose analytical temperature models do not exist at present. • The temperature model of workpiece, which was machined by the bottom cutting edge of a flat end mill in end milling process, was proposed. • With validation, the temperature model proposed in this study was able to predict the temperature of workpiece surface machined by the bottom cutting edge during end milling process. • The heat partition ratio Bs increased linearly as thermal number increased, which seems to be different from other researches. • This analytical model will be of great significance for both the temperature modeling work of end milling process and analytical modeling study of machining particle reinforced aluminum metal matrix composites. |
| abstract_unstemmed |
• An attempt was made to establish a temperature model for predicting cutting temperature of a new kind of metal matrix composites (MMCs), whose analytical temperature models do not exist at present. • The temperature model of workpiece, which was machined by the bottom cutting edge of a flat end mill in end milling process, was proposed. • With validation, the temperature model proposed in this study was able to predict the temperature of workpiece surface machined by the bottom cutting edge during end milling process. • The heat partition ratio Bs increased linearly as thermal number increased, which seems to be different from other researches. • This analytical model will be of great significance for both the temperature modeling work of end milling process and analytical modeling study of machining particle reinforced aluminum metal matrix composites. |
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| title_short |
Analytical model of workpiece temperature in end milling <ce:italic>in-situ</ce:italic> TiB<ce:inf loc="post">2</ce:inf>/7050Al metal matrix composites |
| url |
https://doi.org/10.1016/j.ijmecsci.2018.10.008 |
| remote_bool |
true |
| author2 |
Wang, Wenhu Jiang, Ruisong Lin, Kunyang |
| author2Str |
Wang, Wenhu Jiang, Ruisong Lin, Kunyang |
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ELV001316990 |
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| doi_str |
10.1016/j.ijmecsci.2018.10.008 |
| up_date |
2024-07-06T21:48:18.733Z |
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