目的 拓展产品族多意象设计相关知识的获取途径，提升产品族造型创新设计的能效。方法 基于产品族造型意象耦合特性，引入复杂网络中的多层网络概念，利用造型特征间的多意象表达关系，构建了产品族造型意象耦合网络模型。利用节点敏感性与中心性分析产品族造型意象耦合网络，识别各造型特征节点属性类型以作为模型析出知识。结合产品族设计的特点，总结归纳适用于产品族设计的各造型特征节点类型并制定其类型运用规则，以辅助设计师进行产品族造型创新设计。结果 以马自达汽车前脸造型设计为例，构建了马自达汽车前脸造型意象耦合网络模型，析出了产品族相关设计知识并运用于汽车前脸设计。结论 产品族造型意象耦合网络模型丰富了产品族多意象设计相关知识的获取途径，可用于辅助产品族设计，提升设计能效。

The work aims to expand the access to knowledge related to multi-image design of product families and improve the efficiency of product family modeling innovation design. Based on the coupling characteristics of modeling images about product family and in combination with the concept of multilayer networks in complex networks, a product family modeling imagery coupling network model was constructed by using the multi-image relationship between modeling features. The coupling network model was analyzed with the node sensitivity and centrality methods. The attribute type of each modeling feature node was identified as extracted knowledge. Further, the types of modeling feature nodes applicable to the product family design were summarized and their type application rules were formulated in combination with the characteristics of product family design, so as to assist designers to carry out the product family modeling innovation design. Taking the modeling design of Mazda's front face as an example, a modeling imagery coupling network model of Mazda's front face was constructed, then relevant design knowledge of product family was acquired by analyzing it and successfully applied to the design of the front face. The product family modeling imagery coupling network model enriches the knowledge of product family multi-image design. It can be used to assist the product family design and improve the design efficiency.