SAE Technical Paper Series 2019
DOI: 10.4271/2019-01-0827
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Multi-Objective Optimization of Gerotor Port Design by Genetic Algorithm with Considerations on Kinematic vs. Actual Flow Ripple

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Cited by 5 publications
(2 citation statements)
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“…Robinson and Vacca [86], and Robinson and Vacca [87] in the current year, have published a complete study in multi-objective optimization to circular-toothed profiles. Their main contribution was to minimize the pump size, flow ripple, wear and pitting by means of multi-objective optimization, identifying the Pareto front for the four objective functions.…”
Section: Optimization Techniquesmentioning
confidence: 99%
“…Robinson and Vacca [86], and Robinson and Vacca [87] in the current year, have published a complete study in multi-objective optimization to circular-toothed profiles. Their main contribution was to minimize the pump size, flow ripple, wear and pitting by means of multi-objective optimization, identifying the Pareto front for the four objective functions.…”
Section: Optimization Techniquesmentioning
confidence: 99%
“…The effect of pressure [32], specific feed rate and rotational speed [33] on the overall efficiency of a gear motor has been studied. Using a genetic algorithm, multicriteria optimization of the gear profile [34] and the gerotor port [35] was carried out. as well as optimization of the gerotor pump using the evolutionary strategy algorithm [36].…”
Section: Introductionmentioning
confidence: 99%