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作 者:高铭宇 徐敬华[1] 张树有[1] 王康[1] 谭建荣[1] GAO Mingyu;XU Jinghua;ZHANG Shuyou;WANG Kang;TAN Jianrong(Design Engineering Institute,Zhejiang University,Hangzhou 310058,China)
机构地区:[1]浙江大学设计工程研究所,浙江杭州310058
出 处:《浙江大学学报(工学版)》2025年第3期597-605,共9页Journal of Zhejiang University:Engineering Science
基 金:国家重点研发计划资助项目(2022YFB3303303);浙江大学IDEA2022创新设计资助项目(188170-11102).
摘 要:为了提高人体工学产品的设计效率和舒适度,提出基于邻域拓扑重建(NTR)的人体工学产品定制设计方法.通过结合医学图像邻域拓扑关系进行三维重建,克服传统移动立方体算法的二义性问题,同时避免移动四面体的高耗时问题.基于医学CT图像进行三维重建,得到具有个性化定制信息的复杂曲面构件原始形状,为人体工学产品定制设计提供数据支持.引入深度残差网络,利用神经网络分层提取模型层切面的多尺度特征,分层建立增材制造成本消耗与多尺度特征之间的非线性隐式关系,实现复杂概念设计原型的材料消耗预测与成本优化.根据流形原始形状和基于Laplace-Gauss曲线的变形算法获取手部按握姿态,根据姿态对普通鼠标进行方案演化,对人体工学鼠标进行概念设计.通过物理实验观察到的微观形貌表征了原型产品的高精度特征,预测能耗变化与实际能耗相近.实验结果证明,邻域拓扑重建和变形算法相结合可以为人体工学产品定制设计提供数据支持和实物参考,提高人体工学产品的舒适度.A custom design method of ergonomic products based on neighborhood topology reconstruction(NTR)was proposed to improve the design efficiency and comfort level of ergonomic products.The 3D reconstruction method was based on the neighborhood topological relation of medical images,the ambiguity of Marching Cubes algorithm was overcame,and the time-consuming problem of Marching Tetrahedrons algorithm was avoided.The original shape of complex curved surface component with personalized customization information was obtained by 3D reconstruction based on medical CT images,which provided data support for the custom design of ergonomic products.A deep residual network was introduced,and the multi-scale features of the layer cross-section were extracted layer by layer by using the neural network.The nonlinear implicit relationship between cost consumption of additive manufacture and multi-scale features was established layer by layer.The materials consumption prediction and cost optimization of the complex conceptual design prototype were realized.According to the original shape of the manifold and deformation algorithm based on the Laplace-Gauss curve,the hand pressing-holding posture was obtained.The scheme of ordinary mouse was evolved according to the posture,and the ergonomic mouse was designed conceptually.The effectiveness of the method was verified by physical experiments.The high surface precision of the prototype product was indicated by the microscopic morphology,and the predicted energy consumption change was similar to the actual energy consumption.The experimental results show that the combination of neighborhood topology reconstruction and deformation algorithm can provide data support and physical reference for the custom design of ergonomic products and improve the comfort level of ergonomic products.
关 键 词:邻域拓扑重建 人体工学产品 定制设计 深度残差网络 分层增材制造 变形算法
分 类 号:TP391.7[自动化与计算机技术—计算机应用技术]
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