Power flow and efficiency analysis of 2K-V gear transmission via virtual power
An analytical efficiency expression for the 2K-V gearbox, which includes both rotational and revolutional power, is derived using virtual power analysis. The presence of a constant-speed ratio mechanism in the 2K-V gearbox results in certain components rotating revolution without self-rotation. New...
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Veröffentlicht in: | Meccanica (Milan) 2024, Vol.59 (5), p.811-832 |
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description | An analytical efficiency expression for the 2K-V gearbox, which includes both rotational and revolutional power, is derived using virtual power analysis. The presence of a constant-speed ratio mechanism in the 2K-V gearbox results in certain components rotating revolution without self-rotation. New concept, the revolutional power, is introduced to address this aspect. The efficiency formula and power flow have been verified through several data sets and velocity iconography. Further analysis investigates the impact of specific design parameters on efficiency and power losses. Moreover, sensitivity weights for design parameters affecting total efficiency are identified using machine learning and an optimal parameter range for their optimization is established. Design recommendations aimed at enhancing efficiency are provided. The results show that the losses at the meshes are significantly lower when the ratio of the first stage gearing is set to speed-up rather than speed-down. The smaller the difference in the number of teeth in the second stage gearing, the greater the power losses at the meshes. In the majority of speed ratio scenarios, the second-stage gear pair will experience significant meshing losses as virtual power flows through it. The design parameters related to the second-stage gearing have a significant effect on the overall system efficiency. |
doi_str_mv | 10.1007/s11012-023-01743-5 |
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The presence of a constant-speed ratio mechanism in the 2K-V gearbox results in certain components rotating revolution without self-rotation. New concept, the revolutional power, is introduced to address this aspect. The efficiency formula and power flow have been verified through several data sets and velocity iconography. Further analysis investigates the impact of specific design parameters on efficiency and power losses. Moreover, sensitivity weights for design parameters affecting total efficiency are identified using machine learning and an optimal parameter range for their optimization is established. Design recommendations aimed at enhancing efficiency are provided. The results show that the losses at the meshes are significantly lower when the ratio of the first stage gearing is set to speed-up rather than speed-down. The smaller the difference in the number of teeth in the second stage gearing, the greater the power losses at the meshes. 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The presence of a constant-speed ratio mechanism in the 2K-V gearbox results in certain components rotating revolution without self-rotation. New concept, the revolutional power, is introduced to address this aspect. The efficiency formula and power flow have been verified through several data sets and velocity iconography. Further analysis investigates the impact of specific design parameters on efficiency and power losses. Moreover, sensitivity weights for design parameters affecting total efficiency are identified using machine learning and an optimal parameter range for their optimization is established. Design recommendations aimed at enhancing efficiency are provided. The results show that the losses at the meshes are significantly lower when the ratio of the first stage gearing is set to speed-up rather than speed-down. The smaller the difference in the number of teeth in the second stage gearing, the greater the power losses at the meshes. In the majority of speed ratio scenarios, the second-stage gear pair will experience significant meshing losses as virtual power flows through it. The design parameters related to the second-stage gearing have a significant effect on the overall system efficiency.</description><subject>Automotive Engineering</subject><subject>Civil Engineering</subject><subject>Classical Mechanics</subject><subject>Design optimization</subject><subject>Design parameters</subject><subject>Efficiency</subject><subject>Engineering</subject><subject>Gearboxes</subject><subject>Gears</subject><subject>Impact analysis</subject><subject>Machine learning</subject><subject>Mechanical Engineering</subject><subject>Parameter identification</subject><subject>Parameter sensitivity</subject><subject>Power flow</subject><issn>0025-6455</issn><issn>1572-9648</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNp9kE1LAzEQhoMoWKt_wFPAc3TytdkepfiFRT2o15DNJiVlu6nJ1tJ_b3QFbx6GYeB9XoYHoXMKlxRAXWVKgTICjBOgSnAiD9CESsXIrBL1IZoAMEkqIeUxOsl5BVAwkBP09BJ3LmHfxR02fYud98EG19t9OU23zyHj6DF7JO946UzCQzJ9XoecQ-zxZzBl0rA1Hd58F52iI2-67M5-9xS93d68zu_J4vnuYX69IJYpGEgLraXWVtKxxoPk1loqAFzbCM5M7RtmeCWg5rRulBDeKGtbR50VoqKmrfkUXYy9mxQ_ti4PehW3qTycNYcK1KxIUSXFxpRNMefkvN6ksDZprynob2969KaLN_3jTcsC8RHKJdwvXfqr_of6AvVUcF4</recordid><startdate>2024</startdate><enddate>2024</enddate><creator>Zhu, Feihong</creator><creator>Song, Chaosheng</creator><creator>Bonaiti, Luca</creator><creator>Gorla, Carlo</creator><general>Springer Netherlands</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><orcidid>https://orcid.org/0000-0002-9547-0480</orcidid></search><sort><creationdate>2024</creationdate><title>Power flow and efficiency analysis of 2K-V gear transmission via virtual power</title><author>Zhu, Feihong ; Song, Chaosheng ; Bonaiti, Luca ; Gorla, Carlo</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c270t-d0dc1cc65e2bf053ccc1400edb432a8fb2a36408318b744fa7ccde1ec4461ad83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Automotive Engineering</topic><topic>Civil Engineering</topic><topic>Classical Mechanics</topic><topic>Design optimization</topic><topic>Design parameters</topic><topic>Efficiency</topic><topic>Engineering</topic><topic>Gearboxes</topic><topic>Gears</topic><topic>Impact analysis</topic><topic>Machine learning</topic><topic>Mechanical Engineering</topic><topic>Parameter identification</topic><topic>Parameter sensitivity</topic><topic>Power flow</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhu, Feihong</creatorcontrib><creatorcontrib>Song, Chaosheng</creatorcontrib><creatorcontrib>Bonaiti, Luca</creatorcontrib><creatorcontrib>Gorla, Carlo</creatorcontrib><collection>CrossRef</collection><jtitle>Meccanica (Milan)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhu, Feihong</au><au>Song, Chaosheng</au><au>Bonaiti, Luca</au><au>Gorla, Carlo</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Power flow and efficiency analysis of 2K-V gear transmission via virtual power</atitle><jtitle>Meccanica (Milan)</jtitle><stitle>Meccanica</stitle><date>2024</date><risdate>2024</risdate><volume>59</volume><issue>5</issue><spage>811</spage><epage>832</epage><pages>811-832</pages><issn>0025-6455</issn><eissn>1572-9648</eissn><abstract>An analytical efficiency expression for the 2K-V gearbox, which includes both rotational and revolutional power, is derived using virtual power analysis. The presence of a constant-speed ratio mechanism in the 2K-V gearbox results in certain components rotating revolution without self-rotation. New concept, the revolutional power, is introduced to address this aspect. The efficiency formula and power flow have been verified through several data sets and velocity iconography. Further analysis investigates the impact of specific design parameters on efficiency and power losses. Moreover, sensitivity weights for design parameters affecting total efficiency are identified using machine learning and an optimal parameter range for their optimization is established. Design recommendations aimed at enhancing efficiency are provided. The results show that the losses at the meshes are significantly lower when the ratio of the first stage gearing is set to speed-up rather than speed-down. The smaller the difference in the number of teeth in the second stage gearing, the greater the power losses at the meshes. 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subjects | Automotive Engineering Civil Engineering Classical Mechanics Design optimization Design parameters Efficiency Engineering Gearboxes Gears Impact analysis Machine learning Mechanical Engineering Parameter identification Parameter sensitivity Power flow |
title | Power flow and efficiency analysis of 2K-V gear transmission via virtual power |
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