基于感性工学和粗糙集的机械产品造型设计研究

发布时间：2018-10-18 18:15

【摘要】：在竞争日益激烈的国际市场和供大于求的国内市场现状下,机械行业面临着许多挑战,如何设计和生产出满足用户需求的产品,获得良好的市场反馈是设计师和生产商面临的永久挑战。用户不仅要求产品功能齐全,也希望产品具有情感。如何快速、准确的提取用户的情感需求是提高产品竞争力的关键所在,于是能够有效提取情感需求的感性工学研究,受到了国内外专家学者的广泛关注,并成为研究热点。本研究在感性工学的研究框架内,挖掘了用户和设计师对于产品造型产生的情感意象,提出了基于粗糙集理论的产品造型要素的辨识方法,并基于目标情感意象提取出个性要素与平台要素,以此指导产品定位,从而使得出的造型方案能够同时满足用户和设计师的需求。本研究包含三个阶段,研究内容以及取得的研究成果如下：第一阶段研究了情感意象挖掘方法及其技术流程,并以折弯机为研究实例,运用SD调查问卷调查设计师和终端用户,得出两者的情感意象尺度评价表。第二阶段基于粗糙集理论提出了一种符合设计师和终端用户目标情感意象的造型要素辨识方法,首先,在产品情感意象调查基础上,通过盲目删除属性约简方法,提取个性要素与平台因素；然后将个性要素针对情感意象进行排序,分析设计师与终端用户间的认知差异,辨识出同时符合两者目标情感意象的造型要素,用于产品定位。第三阶段将现有产品定位方法和基于粗糙集的造型要素辨识方法相结合,以此重塑折弯机造型,并对设计方案进行验证分析。结果表明该方法对于快速、准确的完成产品定位和沟通设计师与终端用户间的认知差异具有很好的适用性,能够有效指导产品意象造型设计。
[Abstract]:In the increasingly competitive international market and the domestic market oversupply, the machinery industry is facing many challenges, how to design and produce products to meet the needs of users. Getting good market feedback is a permanent challenge for designers and manufacturers. The user not only requires the product function complete, also wants the product to have the emotion. How to quickly and accurately extract the emotional needs of users is the key to improve the competitiveness of products, so the perceptual engineering research, which can effectively extract emotional requirements, has been widely concerned by experts and scholars at home and abroad, and has become a research hotspot. In the research framework of perceptual engineering, this paper excavates the emotional image of product modeling produced by users and designers, and puts forward the identification method of product modeling elements based on rough set theory. Based on the objective emotional image, the personality elements and the platform elements are extracted to guide the product positioning, so that the modeling scheme can meet the needs of both users and designers at the same time. This research includes three stages, the research contents and the research results are as follows: the first stage studies the emotional image mining method and its technical process, and takes the bending machine as an example to investigate the designers and end users by using SD survey. The scale evaluation table of emotional image between them is obtained. In the second stage, based on rough set theory, a modeling element identification method is proposed, which accords with the target emotional image of designer and end-user. Firstly, based on the survey of product emotional image, the method of attribute reduction is blindly deleted. Then the personality elements are sorted according to the emotional images, the cognitive differences between designers and end-users are analyzed, and the modeling elements that accord with both target emotional images are identified and used for product positioning. In the third stage, the existing product positioning method and the rough set based modeling element identification method are combined to reshape the bending machine modeling, and the design scheme is verified and analyzed. The results show that this method has good applicability for fast and accurate product positioning and communication between designers and end-users, and can effectively guide product image modeling design.
【学位授予单位】：兰州理工大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TH122

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