工程设计中可变性的研究——综述与回顾

IF 2.4 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE DataCentric Engineering Pub Date : 2021-03-29 DOI:10.1017/dce.2021.3
T. Davis
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引用次数: 0

摘要

摘要:我们探讨了参数设计的概念,该概念适用于金属封装晶体管生产中的玻璃珠生产。主要动机是完成Jim Morrison在1957年的原始出版物中暗示的分析,这是讨论工程设计中传递变异思想的早期例子,也是分析参数设计作为一项以数据为中心的工程活动发展过程中的一篇有影响力的论文。参数设计是一项次要的设计活动,重点是选择设计变量的主格,以实现所需的目标性能,同时减少目标周围的方差。尽管1957年的论文不是最新的,但它的工程设计方法是现代的。影响声明本文提请注意Jim Morrison 1957年的一份出版物,并阐述了参数设计的概念(概念设计和公差设计之间的二次设计活动)。1957年的论文是第一篇用英语讨论参数设计的论文,也是以数据为中心的工程的早期例子。本文表明,设计优化的明显或直观的解决方案可能是错误的,即使在这里所示的最简单的情况下也是如此,这促使在解决工程问题时需要仔细的以数据为中心的分析。
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The study of variability in engineering design—An appreciation and a retrospective
Abstract We explore the concept of parameter design applied to the production of glass beads in the manufacture of metal-encapsulated transistors. The main motivation is to complete the analysis hinted at in the original publication by Jim Morrison in 1957, which was an early example of discussing the idea of transmitted variation in engineering design, and an influential paper in the development of analytic parameter design as a data-centric engineering activity. Parameter design is a secondary design activity focused on selecting the nominals of the design variables to achieve the required target performance and to simultaneously reduce the variance around the target. Although the 1957 paper is not recent, its approach to engineering design is modern. Impact Statement This paper draws attention to a 1957 publication by Jim Morrison and illustrates the concept of parameter design (a secondary design activity between concept design and tolerance design). The 1957 paper was the first in the English language to discuss parameter design and is an early example of data-centric engineering. This paper illustrates that the obvious or intuitive solutions to design optimization can be wrong, even in the simplest of cases as illustrated here, motivating the need for careful data-centered analysis, when solving engineering problems.
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来源期刊
DataCentric Engineering
DataCentric Engineering Engineering-General Engineering
CiteScore
5.60
自引率
0.00%
发文量
26
审稿时长
12 weeks
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