2014
DOI: 10.1016/j.advengsoft.2013.11.002
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Optimal mass minimization design of a two-stage coaxial helical speed reducer with Genetic Algorithms

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Cited by 38 publications
(29 citation statements)
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“…al. [3] in their study on optimal mass minimization design of two stage coaxial speed reducer with Genetic Algorithm compared the traditional design of speed reducer with optimal design by GA. The study about the trade-off between the mass and the service life was presented & they concluded that the required service life has to be sacrificed with 75% for a 2.5 kg saving (roughly 7%).…”
Section: Literature Reviewmentioning
confidence: 99%
See 1 more Smart Citation
“…al. [3] in their study on optimal mass minimization design of two stage coaxial speed reducer with Genetic Algorithm compared the traditional design of speed reducer with optimal design by GA. The study about the trade-off between the mass and the service life was presented & they concluded that the required service life has to be sacrificed with 75% for a 2.5 kg saving (roughly 7%).…”
Section: Literature Reviewmentioning
confidence: 99%
“…al. [5] presented study on optimal design of the gear train with the load analysis carried out in the gear trains by varying the module (3,4,5,6) for all the gears for three different power levels 10 HP, 15 HP and 20HP. Cheon-Jae Bahk et al [6] presented a nonlinear dynamic model of a planetary gear with tooth profile modification (TPM).…”
Section: Literature Reviewmentioning
confidence: 99%
“…More the load factor required, more mesh load necessary; this will result in complexity in assembly of the planets with lower number of teeth.N..Marjanovic [4] studied practical approach to the optimization of planetary gear trains with spur gears. In his study he presented the selection of optimal gear trains and also selection of optimal position [6] in his study on mass optimization of design of two stage coaxial high speed reducer with GA (Genetic Algorithm) compared in the conventional design of gear reduction with optimized design by GA. He studied about the compromise between the service life and mass was presented & they concluded and understood that the required service life needs to be sacrificed with some percentage (75%) for a 2.5 kg saving (roughly 7%).U.…”
Section: Introductionmentioning
confidence: 99%
“…The efficiency of the proposed method is confirmed by showing the improvement in weight of gears and space area. Buiga and Popa [9] presented an optimal design mass minimization problem of a single-stage helical gear unit, complete with the sizing of shafts, gearing, and housing using GAs. Mohan and Seshaiah [10] discussed the optimization of spur gear set for its center distance, weight and tooth deflections with module, face width, and number of teeth on pinion as decision variables subject to constraints on bending stress and contact stress.…”
Section: Introductionmentioning
confidence: 99%