| 摘要: |
| 目的 设计是一项复杂的求解过程，合适的方法对开发新产品起着至关重要的作用。设计计算的进步可能促使机器从传统的辅助角色转变为设计内容的生成器。通过回顾国外1998年至今的生成式产品设计方法，指出未来发展趋势与挑战，为产品设计师及相关的技术与应用研究者提供相应的参考。方法 从生成式设计的定义出发，给出生成式设计的定义;整理归纳生成式产品设计的主要步骤及优势;通过综述的形式，将典型的生成式产品设计方法和相关研究进行整理分类;从技术因素和设计因素两个角度总结，对比分析生成式产品设计方法。结论 数据驱动的生成式产品设计将会更好地为设计师带来全新的视角。生成式产品设计的革命性影响能否实现，将取决于设计界和业界思维方式的重大变化。生成式产品设计未来研究的影响，将取决于学术发展和行业研究之间的融合。 |
| 关键词: 生成式设计 产品设计 形状文法 参数化建模 进化计算 数据驱动 |
| DOI：10.19554/j.cnki.1001-3563.2021.14.002 |
| 分类号:TB472 |
| 基金项目:国家重点研发计划课题(2019YFB1405702);国家社科基金艺术学重点项目(20AG011) |
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| Review of Research on Generative Product Design Abroad |
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LIU Yong-hong1, LI Wen-guang1, JI Tie1, XIAO Yi1, YOU Li-si1,2, ZHAO Yun-yan1,2
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(1.Hunan University,Changsha 410082, China;2. Inner Mongolia University of Science and Technology,Baotou 014010, China)
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| Abstract: |
| The design is a complex solution process, the use of appropriate methods plays a vital role in the development of new products. The progress of design computing may change the role of the machine from an assistant to a generator of design content. This article reviews the product generative design methods developed in foreign countries since 1998, points out the future development trend and challenges, and provides corresponding references for product designers, related technology and application research. From the definition of generative design, the definition of generative design is given; the main steps and advantages of generative product design are summarized; the typical generative product design methods and related research are sorted out and classified in the form of summary. This paper summarizes and analyzes the generative product design methods from two aspects of technical factors and design factors. In conclusion, the data-driven generative product design will bring new method innovation for designers. Whether the revolutionary influence of generative product design can be realized or not depends on the great changes in the thinking mode of the design field and industry. The future impact of generative product design research will depend on academic development and greater integration between industries. |
| Key words: generative design product design shape grammars parametric modeling evolutionary computation data-driven |
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