Publication | Closed Access
Design optimisation of bevel gear pair
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Citations
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References
2011
Year
EngineeringIndustrial EngineeringMechanical EngineeringStructural OptimizationAdvanced DesignSoftware LingoEquipment DesignOperations ResearchGenetic AlgorithmSystems EngineeringHybrid Optimization TechniqueCombinatorial OptimizationTransportation EngineeringIntelligent OptimizationMechatronicsTopology OptimizationIndustrial DesignDesign OptimisationAnt Colony OptimisationMechanical SystemsConstruction Engineering
In this paper, an attempt has been made to optimise bevel gear pair design using a non-linear programming optimising software LINGO and meta-heuristics such as real coded genetic algorithm, ant colony optimisation and particle swarm optimisation algorithms. A combined objective function which maximises the power, efficiency and minimises the overall weight, centre distance has been considered in this model. The efficiency of the proposed algorithms is validated through gear design problems and the comparative results are studied.
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