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Optimizing product design by application of experimental design for computer simulation

通过应用计算机模拟实验设计优化产品设计

基本信息

批准号：
17510115
负责人：
YAMADA Shu
金额：
$ 2.18万
依托单位：
University of Tsukuba
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (C)
财政年份：
2005
资助国家：
日本
起止时间：
2005 至 2007
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-17510115/
关键词：
Design of experiments Simulation Quality management Digital Engineering Supersaturated design Uniform design Variable selection 品質管理システム

项目摘要

Computer simulation has contributed the recent research and development stage, product design stage and so forth very much in terms of cost reduction, early development. The reason of the popularity is that experiments by computer simulation do not require performing the physical experiments. In this research, we has proposed a general approach for optimization of the product design whose central is design of experiments that is a series of statistical techniques for data collection and analysis. One of the main topics in this research is a technique to validate the developing computer simulation model. The importance of this topic was obtained by discussion with practitioners who work in automotive industry. Through the discussion, the validation practices in automotive industry are obtained, such as cost constraints, time schedule and so forth. Based on the practical requirements, statistical necessity has been formulated. Furthermore, an algorithm for sequential experiments and the … More criteria for design of experiments have been obtained with considering the statistical necessity. In addition, we focus on screening techniques to find important factors from a lot of candidate factors and approximation techniques to describe the relation between responses and factors in order to utilize the developed computer simulator. As regard the screening, we propose an application of supersaturated design and stepwise selection when there are too many factors for the traditional approach by fractional factorial design and statistical tests. While the traditional approach has the limitation of number of factors that can be accommodated in experiments, proposed approach can include more factors than the traditional approach. As regard the approximation, it was found that uniform design is suitable to describe a complicated relation between responses and factors while composite design and second order model is a popular approach. The proposed approach has a flexibility to examine various models to approximate the relation between responses and factors comparing with the traditional approach. Less

计算机仿真在最近的研究和开发阶段、产品设计阶段等方面对降低成本、早期开发做出了很大的贡献。其受欢迎的原因是计算机模拟实验不需要进行物理实验。在本研究中，我们提出了一个通用的方法来优化的产品设计，其核心是设计的实验，这是一系列的统计技术的数据收集和分析。在这项研究中的主要课题之一是一种技术，以验证开发的计算机仿真模型。通过与汽车行业从业人员的讨论，得出了这一主题的重要性。通过讨论，得到了汽车行业的验证实践，如成本约束、时间进度等。根据实际需要，制定了统计必要性。此外，还提出了一种序列试验的算法， ...更多信息在考虑统计必要性的基础上，得到了实验设计的准则。此外，我们专注于筛选技术，找到重要的因素，从大量的候选因素和近似技术来描述响应和因素之间的关系，以利用开发的计算机模拟器。在筛选方面，我们提出了一个应用过饱和设计和逐步选择时，有太多的因素，传统的方法，通过部分析因设计和统计检验。传统的方法在实验中所能容纳的因素数量有限，而本文提出的方法比传统的方法可以包含更多的因素。在近似性方面，均匀设计适合于描述反应与因素之间的复杂关系，而复合设计和二阶模型是一种流行的方法。与传统方法相比，该方法具有灵活性，可以检查各种模型来近似响应与因素之间的关系。少