完整後設資料紀錄
DC 欄位語言
dc.contributor.authorLin, W. Y.en_US
dc.contributor.authorTsai, Y. H.en_US
dc.contributor.authorHsiao, K. M.en_US
dc.date.accessioned2018-08-21T05:54:01Z-
dc.date.available2018-08-21T05:54:01Z-
dc.date.issued2017-05-01en_US
dc.identifier.issn0954-4062en_US
dc.identifier.urihttp://dx.doi.org/10.1177/0954406215623307en_US
dc.identifier.urihttp://hdl.handle.net/11536/145483-
dc.description.abstractAn optimum design of variable input speed for the Geneva mechanism is aimed at improving the kinematic performance of the traditional Geneva mechanism by eliminating infinite angular jerks and reducing the peak angular acceleration of the Geneva wheel during the indexing motion. The normalized angular velocity and acceleration of the Geneva wheel corresponding to the normalized time are introduced. A polynomial function of the normalized time is used to describe the normalized angular position of the crank, and therefore, the corresponding polynomial coefficients are considered as the design variables. The optimum design task is very specialized and difficult to solve with some evolutionary and swarm optimization methods because of the extremely large range for the value of the design variable, arising from the utilization of a higher order polynomial for the normalized time parameter with a value between 0 and 1. A new evolutionary algorithm termed teaching-learning-based optimization comprises a teacher phase and a learner phase. In the teacher phase, the entire population can be gradually shifted to a more promising region, which may be very far from the relatively small initial region. The obtained optimal results are compared with those obtained using the length-adjustable deriving link method discussed in the literature. The findings show that the difference in the effectiveness of the variable input speed method and the length-adjustable driving link method for the reduction of the peak angular acceleration of the Geneva wheel is small.en_US
dc.language.isoen_USen_US
dc.subjectGeneva mechanismen_US
dc.subjectkinematic performanceen_US
dc.subjectoptimizationen_US
dc.subjectteaching-learning-based optimizationen_US
dc.subjectvariable input speeden_US
dc.titleOptimum variable input speed for kinematic performance of Geneva mechanisms using teaching-learning-based optimization algorithmen_US
dc.typeArticleen_US
dc.identifier.doi10.1177/0954406215623307en_US
dc.identifier.journalPROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCEen_US
dc.citation.volume231en_US
dc.citation.spage1871en_US
dc.citation.epage1883en_US
dc.contributor.department機械工程學系zh_TW
dc.contributor.departmentDepartment of Mechanical Engineeringen_US
dc.identifier.wosnumberWOS:000401004800009en_US
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