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Affective product form bionic design based on functional analysis
Expert Systems with Applications ( IF 8.5 ) Pub Date : 2024-03-22 , DOI: 10.1016/j.eswa.2024.123746
Zeng Wang , Chenpeng Long , Lingyu Huang , Shijie Hu

To address the challenge of the absence of automated design and evaluation methods encompassing both functional and emotional analysis in product form bionic design (PFBD), this study introduces a novel affective PFBD method based on functional analysis. Firstly, the target product, target emotion and target creature are identified through questionnaire surveys and statistical analysis. Elliptical Fourier analysis and principal component analysis are employed to parameterize the shape outlines of the target products and creature, yielding principal component score data capturing their shape features. Secondly, product form and biological shape are fused by utilizing a proposed fusion generation operator to generate diverse PFBD conceptual schemes. Finally, a comprehensive multi-dimensional evaluation method, incorporating the functional analysis model, bionic evaluation model and emotional evaluation model, is formulated to assess the conceptual schemes and identify the optimal scheme. To validate the feasibility and effectiveness of the proposed method, it is applied to the automated generative design and evaluation of water cup shapes. The outcome reveals the identification of an optimal solution that not only satisfies the functional requirements of the product but also addresses user emotional needs. The results underscore the method's outstanding performance in PFBD involving both functional and emotional analysis, establishing it as an effective tool for designers to efficiently generate a variety of solutions, thereby ensuring the rationality and scientific foundation of product design.

中文翻译:

基于功能分析的情感产品形态仿生设计

为了解决产品仿生设计(PFBD)中缺乏包含功能和情感分析的自动化设计和评估方法的挑战,本研究引入了一种基于功能分析的新型情感 PFBD 方法。首先,通过问卷调查和统计分析,确定目标产品、目标情感和目标生物。采用椭圆傅立叶分析和主成分分析来参数化目标产品和生物的形状轮廓,产生捕获其形状特征的主成分评分数据。其次,利用提出的融合生成算子将产品形态和生物形状融合,生成不同的 PFBD 概念方案。最后,结合功能分析模型、仿生评价模型和情感评价模型,制定综合多维度评价方法,对概念方案进行评估并确定最优方案。为了验证该方法的可行性和有效性,将其应用于水杯形状的自动生成设计和评估。结果揭示了最佳解决方案的确定,该解决方案不仅满足产品的功能要求,而且满足用户的情感需求。研究结果凸显了该方法在功能分析和情感分析的PFBD中的出色表现,使其成为设计人员高效生成多种解决方案的有效工具,从而保证产品设计的合理性和科学基础。
更新日期:2024-03-22
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