首页|一种艾灸装置的结构设计及支撑座的优化设计

一种艾灸装置的结构设计及支撑座的优化设计

扫码查看
为了提高艾灸的质量和效率,设计了一种艾灸装置,整个艾灸装置既能实现自动清灰,且艾灸温度能精准控制.为了艾灸装置的使用方便和成本低减,对艾灸装置的关键部件艾灸支撑座进行了优化设计,以艾灸支撑座的三个结构尺寸为设计变量,利用OSF方法选取了设计变量的试验点,建立了径向基神经网络代理模型,并检验了该模型的精度.以艾灸支撑座的质量和最大变形量为多目标优化函数,以最大变形量和最大应力为约束条件,利用多岛遗传算法得到Pareto最优解集.在保证艾灸支撑座力学性能不降低的前提下,质量减轻了15.01%.结果表明,该方法具有较高的精度和较强的工程实用性.
Structure Design of a Moxibustion Device and Optimized Design of Support Seat
In order to improve the quality and efficiency of moxibustion,a moxibustion device was designed.The entire moxibustion device can automatically clean dust and accurately control the moxibustion temperature.In order to facilitate the use of the moxibus-tion device and reduce the cost,the key component of the moxibustion device is optimized for the moxibustion support base.The three structural dimensions of the moxibustion support base are used as design variables,and the OSF method is used to select the design variables.At the test point,a radial basis function neural network proxy model was established and the accuracy of the model was tested.Taking the mass and maximum deformation of the moxibustion support as a multi-objective optimization function,taking the maximum deformation and the maximum stress as constraints,the multi-island genetic algorithm is used to obtain the Pareto optimal solution set.Under the premise of ensuring that the mechanical properties of the moxibustion support seat does not decrease,the mass is reduced by15.01%.This method has high precision and strong engineering practicability.

Moxibustion DeviceStructure DesignFinite Element MethodResponse SurfaceMulti-Objective Op-timization

徐新、邓斌、刘宁波

展开 >

西南交通大学先进驱动节能技术教育部工程研究中心,四川 成都 610031

海军航空大学信息融合研究所,山东 烟台 264000

艾灸装置 结构设计 有限元法 响应面 多目标优化

国家自然科学基金

61871392

2024

机械设计与制造
辽宁省机械研究院

机械设计与制造

CSTPCD北大核心
影响因子:0.511
ISSN:1001-3997
年,卷(期):2024.396(2)
  • 10