基于美学、人体工学及性能的多因素融合设计

doi:10.3901/JME.2020.21.199

机械工程学报 ›› 2020, Vol. 56 ›› Issue (21): 199-207.doi: 10.3901/JME.2020.21.199

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基于美学、人体工学及性能的多因素融合设计

朱思羽, 胡洁, 戚进

上海交通大学机电设计与知识工程研究所上海 200240

收稿日期:2020-01-06 修回日期:2020-06-12 出版日期:2020-11-05 发布日期:2020-12-19
作者简介:朱思羽,女,1996年出生。主要研究方向为智能设计。E-mail:601381@sjtu.edu.cn;胡洁(通信作者),男,1973年出生,博士,教授,博士研究生导师。主要研究方向为基于知识的工程和设计形态学。E-mail:hujie@sjtu.edu.cn
基金资助:
科技部创新方法工作专项(2018IM020100)、国家社科基金重大项目(17ZDA020)、国家自然科学基金(51975360,51775332,51675329,51675342)、上海交通大学“医工交叉研究基金”(IH2018QNB03,YG2017QN61)和上海市工业强基项目(GYQJ-20118-1-13)资助项目。

Multi-factor Coupling Design Based on Aesthetic Measure, Ergonomics, and Performance

ZHU Siyu, HU Jie, QI Jin

Institute of Mechatronic Design and Knowledge Engineering, Shanghai Jiao Tong University, Shanghai 200240

Received:2020-01-06 Revised:2020-06-12 Online:2020-11-05 Published:2020-12-19

摘要/Abstract

摘要： 传统设计方法主要考虑产品功能及性能,较少考虑美学等其他因素,难以满足综合要求的提升。为解决这一问题,提出多因素的融合设计方法,实现基于美学、人体工学及性能的智能化融合设计。首先确定多个因素的评价方法,包括依据美学计算原理的多个美学维度的计算公式,以及人体工学和性能的评价公式。结合粗糙层次分析法确定的各因素权重系数,得到多因素的综合评价,建立寻优模型。采用自适应边界的遗传算法求解模型,实现优化设计和创新设计两种模式的设计,最后由 NX10.0 的参数接口生成设计模型,实现智能化的融合设计。通过自行车整体结构的设计案例对所提方法进行检验,得到了明显优化的和具有创新性的设计方案。结果表明,该方法可快速生成满足多因素综合要求的优化方案或若干优质的创新方案,有效解决设计因素单一的问题。

关键词: 美学计算, 人体工学, 遗传算法, 多因素融合, 优化设计, 创新设计

Abstract: Traditional design processes mainly consider functions and performances, without other factors like aesthetics, and are therefore unable to satisfy comprehensive demands. To solve this problem, an automatic multi-factor coupling design method is proposed. Aesthetics, ergonomics and key performances are considered and coupled in an intelligent way. First, based on theory and formula of aesthetic measure, the scores for aesthetic dimensions are calculated. Scores of ergonomic comfort and performance are also calculated from formula. Multi-factor scores are combined with weights calculated by rough hierarchical process, and genetic algorithm with adaptive boundary is utilized to solve the design optimization problem. Optimized design and innovative design are both considered in the process. Finally, the results are transferred into 3D models with NX10.0 integrated parameter interface. The form design of bicycle is used as an example to illustrate the proposed method. According to results, optimized design and multiple innovative designs can be obtained effectively. With this method, product design with multiple factors are realized properly.

Key words: aesthetics, ergonomics, genetic algorithm, multi-factor coupling, optimization design, innovative design

中图分类号:

TH122

朱思羽, 胡洁, 戚进. 基于美学、人体工学及性能的多因素融合设计[J]. 机械工程学报, 2020, 56(21): 199-207.

ZHU Siyu, HU Jie, QI Jin. Multi-factor Coupling Design Based on Aesthetic Measure, Ergonomics, and Performance[J]. Journal of Mechanical Engineering, 2020, 56(21): 199-207.

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基于美学、人体工学及性能的多因素融合设计

Multi-factor Coupling Design Based on Aesthetic Measure, Ergonomics, and Performance

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