感性微分法在产品设计中的探讨

感性工学是将感性与工学相结合的一种技术,其在产品设计中的应用,主要通过分析人的感性来建立产品构想模型,并据此来设计产品。感性微分法是感性工学中的一种定性研究方法,这种方法可以通过感性概念的逐步细分从而和设计元素建立起一一对应关系,本文试图应用感性微分法在产品设计中的作用进行探讨,并以行李箱的拉杆设计为例就感性微分法的应用进行探讨。     

基于模糊逻辑的产品意象造型设计研究

为设计出符合消费者感性需求的产品,采用基于模糊逻辑的产品意象造型设计方法.首先确定感性词汇与造型设计要素,利用模糊逻辑建立二者之间的关系.通过模糊化、模糊规则的构建、模糊推理以及反模糊化等过程进行模糊逻辑控制器的设计,用Matlab 建立仿真模型,最后通过测试验证了模型的有效性.结合折叠自行车造型设计进行研究,结果表明...     

浅谈计算机辅助产品风格创新设计方法

简要论述了计算机辅助产品风格创新的背景,给出了风格创新设计的轮廓。基于MDS法、产品形态解构方法以及原型理论等研究了产品风格推断,并建立了产品风格认知模型,在此基础上简述了系统构建过程中涉及到的特征识别与风格重构问题。     

公理化设计与DFA集成的产品信息模型

在公理化设计理论的基础上，讨论了产品设计过程中功能要求的分解以及从功能域向结构域的曲折映射过程；建立了产品功能一结构层次模型和面向装配设计的产品信息模型．该产品信息模型不仅能够描述产品的层次结构信息，而且能够描述零部件之间的装配关系信息，能够实现CAD／CAE／CAPP/CAM的信息集成，为产品并行开发过程的信息集成打下良好的基础．以发动机减速器为例，对产品的功能树、结构树以及装配模型和装配关联矩阵的形成进行了说明。     

基于设计树模板的产品外观风格定制研究

为满足客户对产品外观的个性化定制需求,提出了产品外观风格特征的量化描述方法,构造了设计树来组织和管理设计方案的几何数据信息和风格信息,并给出了产品外观模板的形式化描述和建立方法。在此基础上,建立了基于设计树模板的产品外观风格定制系统的模型,介绍了基于CAD平台二次开发的、COM组件结合中间件的开发方案。     

支持多学科设计优化的集成产品过程建模方法

针对当前主要的设计过程建模方法缺乏表达复杂产品多学科设计过程中资源的组织调用和协作方式等信息,提出一种支持复杂产品多学科设计优化的设计路线图框架过程建模方法.从全面表达设计过程信息的角度出发,描述产品多学科设计优化过程中的主要活动及其协同关系,建立支持多学科设计优化的过程模型;在此基础上,给出了多学科设计优化的过程规划方法,以降低产品设计过程中的迭代,通过构建支持多学科设计优化的集成产品设计过程结构框架,实现产品多学科设计优化的过程集成.最后通过已开发的多学科系统集成平台,应用具体设计实例验证了整套方法的有效性.     

基于超图的产品4D信息模型描述的研究

在产品设计过程中,产品的4D信息模型(即以产品的3D模型为基础,以设计进程为时间坐标的4D信息模型)作为对产品信息的结构化集成,需要表达产品信息之间的各种复杂关系,并在整个产品进化过程中保持这些关系的一致性。本文在对产品设计过程中的4D信息特征进行分析的基础上,引入了超图理论来描述产品4D信息模型设计过程的信息,对产品4D信息模型建立的理论基础进行了研究,并对4D信息模型进行形式化描述研究,为产品设计及其过程管理提供了一种新的途径和研究方法。     

基于感性工学的产品客户化配置设计

基于感性工学理论及产品平台设计思想,提出了一种产品客户化配置设计方法.通过感性评价的问卷调查方式及回归分析方法建立感性意象与设计参数间的量化关系,同时辨识出平台参数与个性参数;在保持平台参数不变的基础上,改变个性参数进行产品造型以作为第二次问卷调查的样本.通过喜好评价的问卷调查形式,采用聚类分析方法对顾客进行基于喜好相似度的客户群聚类,并采用多项式回归模型建立各自的喜好度与个性参数间的量化关系模型,从而得到各个客户群的符合其最佳满意度的个性参数配置.最后,以手机机身设计为例进行说明.     

基于产品感性定制模型的顾客协同设计系统

为使产品定制模型更加适合缺少相关领域专业知识的大众消费者,建立了基于感性工学的产品感性定制模型。引入配件感性性能指数、产品感性性能矩阵对产品感性性能进行量化。使用层次分析法实现了求解与顾客对产品感性性能需求对应的产品工程配置的方法。并应用产品感性定制模型,构建了基于Web和虚拟现实技术的顾客协同设计系统。     

面向结构化布局设计的产品布局多色模型

为实现产品原理方案向结构化布局映射,提出产品布局元层次关系网及产品布局多色模型.首先在布局模块及其属性关系网的基础上构建布局元层次关系网;然后应用多色集合的个人颜色、统一颜色,给出产品布局元层次关系网的数学描述,形成产品布局多色模型,并提出推理算法;再利用个人颜色、统一颜色之间的围道布尔矩阵推理原理,进行产品结构布局设计过程中功能—运动分配—布局模块之间映射过程的形式化描述.应用该模型进行结构化布局设计,可有效地支持产品结构布局设计的公理化;最后在Pro/E平台中利用VC.net 2003工具进行二次开发,并以数控机床结构布局设计为例验证了文中模型和设计方法的可行性和有效性.     

Automatic digital mood boards to connect users and designers with kansei engineering

One challenge for designers is how to express emotions to clients when helping them analyze ideas for the development of products. Mood boards, which comprise a set of images and words, are one of the most common tools for synthesizing a client's perception and instructing the designer about visual communication. The creation of these boards is time-consuming and becomes static before the end of the design process. This article investigates the possibility of building a kansei engineering system that is based on rough set probability statistics and is capable of linking kansei words obtained from clients with images that can be continuously collected online. The result is a proposal for a new kansei engineering procedure that contains five cycles and captures users' opinions in all phases of the design process. A subset of real data is used in the application of this procedure to a consumer product, which demonstrates the feasibility of this kind of application. The article presents a complete theoretical model of this system and its procedures and algorithms, which enables the creation of automatic mood boards and connects designers to users' needs.     

Determination of optimal product styles by ordinal logistic regression versus conjoint analysis for kitchen faucets

In this study, a two-stage integrated approach is proposed and implemented to explore user perceptions about kitchen faucet styles and to find optimal levels of design parameters related to product appearance. At the first stage, a group of representative users have been asked to judge 38 systematically selected different faucet designs by using a semantic differential (SD) scale for 11 image (kansei) words about their visual perceptions. Then the relations between overall preference and kansei word scores of users are investigated by Ordinal Logistic Regression (OLOGREG). The model obtained helps understand how customers describe highly preferred designs. It can also be used to confirm if a product design will be highly preferred. At the second stage, the relations between overall preference scores and design parameter levels related to the product appearance are modeled using again OLOGREG, and then the best design parameter levels for visual perceptions are found by maximizing the overall preference scores. The results are confirmed and discussed. They are also compared to those of a commonly used approach in the literature, Conjoint Analysis (CA). This comparison has showed that the OLOGREG approach is superior to traditional CA. Finally, it is discussed how the product style design optimization approach presented and demonstrated in this study for the case of some kitchen faucets can be used in general for other products.Relevance to industry: Developing a user-centered product is an important policy of an enterprise in today's highly competitive marketplace. To reach this objective, a systematic method is proposed by integrating several techniques. This method will be useful to any industry that designs and produces consumer products. These products more fit the consumer needs and the competitiveness of them are improved.     

A proposal of the event-related potential method to effectively identify kansei words for assessing product design features in kansei engineering research

The effective acquisition of kansei words for assessing product design features plays a decisive role in knasei engineering research, whereas previous studies rarely give a full understanding of how to effectively grasp the related kansei words. The existing findings revealed that traditional methods based on questionnaire surveys might have trouble and limitations in kansei words acquisition. The process requires the active involvement of users, which could be time-consuming, expensive, knowledge and labor intensive. Hence, there still remains a need for an efficient method that can effectively identify kansei words for assessing product design features in kansei engineering study. The N400, an event-related potential (ERP), can be triggered by semantic violations in visual stimulus materials. The present study investigates whether N400 can be used as an electrophysiological measurement to effectively identify kansei words for assessing product design features in kansei engineering research. This study takes the SUVs’ pictures as the prime stimulus and two relatedness-match levels of kansei words from a high level to a low level as the target stimulus, including the unrelated kansei words and related kansei words. It is shown that the related kansei words elicit a shorter N400 amplitude than the unrelated kansei words. Moreover, the N400 exhibits the different scalp distributions between related and unrelated kansei words. These findings indicate that the N400 could be used to compensate limitations of conventional questionnaire surveys in kansei words acquisition for assessing product design features.Relevance to industryWith the assistance of N400 neural measurement in kansei words acquisition, kansei engineering will advance further as a modernized technology in kansei product design. The method proposed in this study uses N400 to effectively identify kansei words, which can be applied to kansei engineering research and improve the product development process.     

产品风格计算研究进展

阐明了产品风格的基本内涵、认知过程和主要研究内容,进一步从认知心理学、形状文法、感性工学、模式识别等4个方面总结了产品风格计算的研究进展,最后指出了其发展趋势.     

感性工学中的参数化设计方法关键技术研究现状与展望

 感性工学(KE)是将消费者感性体验融入设计中的常用方法。过去十余年间,国内 外学者对 KE 展开了研究并取得了一定成果。通过对国内外 KE 中的参数化设计方法关键技术 研究成果进行梳理,首先总结了 KE 中常用的感性意象与产品特征参数化方法;随后重点介绍 了 3 种 KE 模型构建问题上的常用方法及其特点,并将现有研究进行了对比;最后讨论了 KE 现存问题并对未来可能的研究趋势进行了展望。     

基于C-MKE 模型的交互界面设计

为了满足用户对交互界面设计的感性需求,提出了基于C-MKE 模型的交互界面 设计方法。首先应用感性工学(KE)理论构架中的类目层次法(CC)推论交互界面设计项目,并在 与现有交互界面对比分析的基础上建立设计变量空间。其次,通过感性意象认知实验构建感性 意象认知空间,运用数学模型方程法(MM)实现交互界面设计变量与感性意象的映射模型,进一 步通过T 检验法验证了该模型的有效性。最后依据C-MKE 模型推导出苗族银饰文化传播APP 首页界面设计的参考性结论,并进行了界面的创新设计。     

冲裁工艺设计决策专家系统及实现

冲裁工艺设计是一种设计决策问题,有一定代表性,很需要采用专家系统技术求解。讨论冲裁工艺设计专家系统的实现技术,包括工艺方案选择和工步设计等问题的解决方案、面向对象的知识表示和推理机制、模糊知识表示与模糊推理技术的灵活应用、图形的自动识别处理与生成等。     

FuzEmotion as a backward kansei engineering tool

Kansei engineering, also known as kansei ergonomics or emotional engineering, aims at analysing and incorporating customer s feeling and demands into product function and product design. Founded in the late 1970 s, kansei is now considered as a key consumer-oriented technology for new product development. This paper described a system called FuzEmotion for the purpose of assessing the kansei aspects of a product by considering design attributes of a product. Fuzzy logic is used to represent kansei words and process fuzzy input. The system has been successfully implemented to ascertain gender inclination of a mobile phone. Principal parameters of a mobile phone are considered, i.e., length, width, thickness, and mass. The system can inform gender inclination of a mobile phone with accuracy up to 76%. This is based on a set of 92 mobile phone samples from the five major mobile phone manufacturers.