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http://dx.doi.org/10.3795/KSME-A.2014.38.2.185

Optimum Design of Pitch Reducer for Wind Turbine Using Genetic Algorithm  

Kim, Jeong Gil (Dept. of System Reliability, Korea Institute of Machinery and Materials)
Park, Young Jun (Dept. of System Reliability, Korea Institute of Machinery and Materials)
Lee, Geun Ho (Dept. of System Reliability, Korea Institute of Machinery and Materials)
Nam, Yong Yun (Dept. of System Reliability, Korea Institute of Machinery and Materials)
Yang, Woo Yeoul (Gear Solution Technology Development Team, Hyosung)
Publication Information
Transactions of the Korean Society of Mechanical Engineers A / v.38, no.2, 2014 , pp. 185-192 More about this Journal
Abstract
Planetary gear design is complex because it involves a combination of discrete variables such as module, integer variables such as the number of teeth, and continuous variables such as face width and aspect ratio. Thus, an optimum design technique is needed. In this study, we applied a genetic algorithm to the design optimization of a planetary gear. In this algorithm, tooth root strength and surface durability are assessed with fundamental variables such as the number of teeth, module, pressure angle, and face width. With the help of this technique, gear designers could reduce trial and error in the initial design stages, thus cutting the time required for planetary gear design.
Keywords
Wind Turbine; Pitch Reducer; Planetary Gear; Optimum Design; Genetic Algorithm;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
연도 인용수 순위
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