This study proposes a multi-objective optimization framework for electric winches in fiber-reinforced plastic(FRP)fishing vessels to address critical limitations of conventional designs,including excessive weight,mate...This study proposes a multi-objective optimization framework for electric winches in fiber-reinforced plastic(FRP)fishing vessels to address critical limitations of conventional designs,including excessive weight,material inefficiency,and performance redundancy.By integrating surrogate modeling techniques with a multi-objective genetic algorithm(MOGA),we have developed a systematic approach that encompasses parametric modeling,finite element analysis under extreme operational conditions,and multi-fidelity performance evaluation.Through a 10-t electric winch case study,the methodology’s effectiveness is demonstrated via parametric characterization of structural integrity,stiffness behavior,and mass distribution.The comparative analysis identified optimal surrogate models for predicting key performance metrics,which enabled the construction of a robust multi-objective optimization model.The MOGA-derived Pareto solutions produced a design configuration achieving 7.86%mass reduction,2.01%safety factor improvement,and 23.97%deformation mitigation.Verification analysis confirmed the optimization scheme’s reliability in balancing conflicting design requirements.This research establishes a generalized framework for marine deck machinery modernization,particularly addressing the structural compatibility challenges in FRP vessel retrofitting.The proposed methodology demonstrates significant potential for facilitating sustainable upgrades of fishing vessel equipment through systematic performance optimization.展开更多
为减小重载升沉补偿绞车的体积和转动惯量,提出一种壳动双排柱塞多作用内曲线径向柱塞马达。首先,基于无脉动副角分配方法对马达导轨曲线进行设计;随后,利用Simcenter 3D Motion与AMESim软件构建双马达机械-液压联合仿真模型。仿真结果...为减小重载升沉补偿绞车的体积和转动惯量,提出一种壳动双排柱塞多作用内曲线径向柱塞马达。首先,基于无脉动副角分配方法对马达导轨曲线进行设计;随后,利用Simcenter 3D Motion与AMESim软件构建双马达机械-液压联合仿真模型。仿真结果与理论分析基本吻合,表明马达输出特性符合预期设计目标,同时有效减小了绞车体积和转动惯量。最后,进一步针对相邻马达轴向错位安装角度及柱塞泄漏间隙对输出性能的影响开展仿真分析。相关结论可为升沉补偿绞车的工程设计与优化提供参考。展开更多
基金supported by the Basic Public Welfare Research Program of Zhejiang Province(No.LGN22E050005).
文摘This study proposes a multi-objective optimization framework for electric winches in fiber-reinforced plastic(FRP)fishing vessels to address critical limitations of conventional designs,including excessive weight,material inefficiency,and performance redundancy.By integrating surrogate modeling techniques with a multi-objective genetic algorithm(MOGA),we have developed a systematic approach that encompasses parametric modeling,finite element analysis under extreme operational conditions,and multi-fidelity performance evaluation.Through a 10-t electric winch case study,the methodology’s effectiveness is demonstrated via parametric characterization of structural integrity,stiffness behavior,and mass distribution.The comparative analysis identified optimal surrogate models for predicting key performance metrics,which enabled the construction of a robust multi-objective optimization model.The MOGA-derived Pareto solutions produced a design configuration achieving 7.86%mass reduction,2.01%safety factor improvement,and 23.97%deformation mitigation.Verification analysis confirmed the optimization scheme’s reliability in balancing conflicting design requirements.This research establishes a generalized framework for marine deck machinery modernization,particularly addressing the structural compatibility challenges in FRP vessel retrofitting.The proposed methodology demonstrates significant potential for facilitating sustainable upgrades of fishing vessel equipment through systematic performance optimization.
文摘为减小重载升沉补偿绞车的体积和转动惯量,提出一种壳动双排柱塞多作用内曲线径向柱塞马达。首先,基于无脉动副角分配方法对马达导轨曲线进行设计;随后,利用Simcenter 3D Motion与AMESim软件构建双马达机械-液压联合仿真模型。仿真结果与理论分析基本吻合,表明马达输出特性符合预期设计目标,同时有效减小了绞车体积和转动惯量。最后,进一步针对相邻马达轴向错位安装角度及柱塞泄漏间隙对输出性能的影响开展仿真分析。相关结论可为升沉补偿绞车的工程设计与优化提供参考。
