文章摘要
张萍,张鹏博,张海峰,侯爱军.需求驱动下的绿色舒适产品设计要素配置研究[J].包装工程,2021,42(2):70-76.
需求驱动下的绿色舒适产品设计要素配置研究
Configuration of Design Elements of Green Comfort Products Driven by Demand
投稿时间:2020-10-13  
DOI:10.19554/j.cnki.1001-3563.2021.02.011
中文关键词: 环境需求  人机需求  绿色舒适产品  要素配置  融合型QFD-TRIZ设计方法
英文关键词: environmental demands  human-computer demands  green and comfortable product  product configuration  integrated QFD-TRIZ design method
基金项目:国家自然科学基金资助项目(51775155)
作者单位
张萍 合肥工业大学合肥 230601 
张鹏博 合肥工业大学合肥 230601 
张海峰 合肥工业大学合肥 230601 
侯爱军 合肥工业大学合肥 230601 
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中文摘要:
      目的 对产品设计过程的多层次需求进行量化分析,从而对绿色舒适产品的设计要素进行优化配置。方法 以产品的多层次需求为基础,分析环境需求和人机需求的特征、获取、表达方法及两者之间的相合性和冲突性,提出绿色舒适产品的基本概念,运用质量功能展开(QFD)融合发明问题解决理论(TRIZ)方法将需求进行量化分析,实现多层次设计要素的冲突化解和最优化配置。结果 通过研究所构建的方法进行了小型汽车座椅的设计,经过科学的实验验证,设计成果到达预期目标,实现了该产品在绿色度和舒适度上的双重提升。结论 通过QFD融合TRIZ的方法将感性思维的结果逐步量化处理,通过冲突定义和消解实现绿色舒适产品最优化的设计要素配置,为设计师的需求处理和要素决策提供科学依据和有效途径。
英文摘要:
      The work aims to quantitatively analyze the multi-level demands of the product design process to optimize and configure the design elements of green comfort products. Based on the multi-level demands of products, the characteristics, acquisition and expression methods of environmental demands and human-machine demands, and the consistency and conflict between the two were analyzed to propose the basic concept of green comfort products. Quality function development (QFD) was integrated with the invention problem solving theory (TRIZ) method to quantify the demands and realize the conflict resolution and optimal configuration of multi-level design elements. Through the method constructed in the research, the design of small car seat was carried out. After scientific experiments, the design results reached the expected goal, and the product achieved double improvement in greenness and comfort.The method of QFD integrated with TRIZ gradually quantifies the results of perceptual thinking, and realizes the optimal design of green comfort products through conflict definition and digestion, which provides scientific basis and effective way for designers’ demand processing and factor decision making.
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