Design as integration of axiomatic design and design structure matrix

公理化设计 公理 公理系统 计算机科学 概念设计 设计结构矩阵 概率设计 设计矩阵 工程设计过程 系统工程 理论计算机科学 数学 工程类 人机交互 制造工程 机器学习 精益制造 机械工程 线性回归 几何学
作者
Dunbing Tang,Guangjun Zhang,Sheng Dai
出处
期刊:Robotics and Computer-integrated Manufacturing [Elsevier]
卷期号:25 (3): 610-619 被引量:78
标识
DOI:10.1016/j.rcim.2008.04.005
摘要

Axiomatic design and design structure matrix (DSM) are two popular design methods at the moment, while most related researches only apply the basic ideas of axiomatic design or DSM to some use cases. This paper analyses the disadvantages of both axiomatic design and DSM. The axiomatic design method guides the designer finding suitable design parameters to meet the needs of function requirements. But axiomatic design cannot support the designer to know the interactions amongst the design parameters, including geometry, spatial layout, interfaces (e.g. logical and physical connectivity), which will decide the quality of the design. DSM has the advantages at recording and analysing the interaction relationship between existing product elements. However, at the conceptual design stage or for a new product that has never been designed before, it is difficult to make the DSM. After deep investigations, it has been found that there are strong complementarities between axiomatic design and DSM, and integration of both sides is advocated for better-quality design. The main outcome of this work is the formal interpretation of the integration logic between axiomatic design and DSM. Under such integration context, the conceptual design process can be seen as a recursive interaction of axiomatic design's design matrix (DM) and corresponding DSM. In this way, axiomatic design and DSM can benefit from each other. A computer-aided conceptual design system has been developed to realize the proposed integration model of axiomatic design and DSM.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
刚刚
辣辣完成签到,获得积分10
刚刚
桐桐应助白华苍松采纳,获得10
刚刚
华仔应助啊嚯采纳,获得10
刚刚
yasan完成签到,获得积分10
刚刚
1秒前
Fsy完成签到,获得积分10
1秒前
万能图书馆应助China采纳,获得10
1秒前
杨欢完成签到,获得积分10
1秒前
Stanley发布了新的文献求助10
1秒前
哭泣爆米花完成签到,获得积分10
2秒前
2秒前
2秒前
2秒前
钰宁发布了新的文献求助10
2秒前
灵巧荆发布了新的文献求助10
2秒前
慕青应助juan采纳,获得10
3秒前
3秒前
白小白发布了新的文献求助10
3秒前
丘比特应助阳光莲小蓬采纳,获得10
3秒前
司徒迎曼发布了新的文献求助10
3秒前
3秒前
4秒前
liuliu发布了新的文献求助10
4秒前
4秒前
523发布了新的文献求助10
4秒前
popcorn完成签到,获得积分10
5秒前
C2完成签到,获得积分10
5秒前
Agernon应助小小技术工采纳,获得10
6秒前
Rsoup发布了新的文献求助10
6秒前
九川发布了新的文献求助30
6秒前
漂亮的初蓝完成签到,获得积分10
6秒前
丰知然应助紫菜采纳,获得10
6秒前
科目三应助顺顺采纳,获得20
6秒前
桐桐应助自信富采纳,获得10
7秒前
健忘捕发布了新的文献求助10
7秒前
8秒前
叫滚滚发布了新的文献求助10
8秒前
请叫我风吹麦浪应助rain采纳,获得30
9秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Social media impact on athlete mental health: #RealityCheck 1020
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527723
求助须知:如何正确求助?哪些是违规求助? 3107826
关于积分的说明 9286663
捐赠科研通 2805577
什么是DOI,文献DOI怎么找? 1539998
邀请新用户注册赠送积分活动 716878
科研通“疑难数据库(出版商)”最低求助积分说明 709762