Robust Design Optimization for Product Platform Design

产品平台设计的稳健设计优化

• 批准号: 0100123
• 负责人: Kwokleung Tsui
• 金额: $ 43.63万
• 依托单位: Georgia Tech Research Corporation
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2001
• 资助国家: 美国
• 起止时间: 2001-08-15 至 2006-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0100123&HistoricalAwards=false
• 关键词: Robust; Design; Optimization; Product; Platform

This grant provides funding to develop a systematic yet flexible approach to build a series of metamodels for robust design space exploration and optimization of large systems along a design timeline. Six statistical metamodeling approaches will be evaluated, namely, response surface modeling, kriging, multivariate adaptive regression splines, classification and regression trees, artificial neural networks and wavelets. Both classical and space-filling experimental designs will be tested with the most promising statistical metamodeling approaches and verified for use along a design time-line. The design of families of general aviation aircraft (to verify product platform development), and the design of vehicle body structures (to verify the metamodeling and robust design methodology) are used to evaluate the efficacy of the method.This work, if successful, will provide the proof-of-concept for the development of a formal, generic, mathematically rigorous method for use in rapidly exploring concepts in the early stages of project initiation. The outcome is anticipated to have an impact both on the engineering design community and the statistical community bringing both communities closer to addressing real problems with tools anchored in a rigorous and mathematically correct foundation. In addition, the successful use of this method by manufacturing enterprises will allow them to rapidly and cost-effectively design product platforms thereby enhancing their competitiveness.

这笔拨款为开发一种系统而灵活的方法提供资金，以建立一系列元模型，用于沿着设计时间轴进行稳健的设计空间探索和大型系统的优化。六种统计元建模方法将被评估，即响应面建模，克里格，多元自适应回归样条，分类和回归树，人工神经网络和小波。经典和空间填充实验设计都将用最有前途的统计元模型方法进行测试，并沿着设计时间线进行验证。通过通用航空飞机系列设计（验证产品平台开发）和车身结构设计（验证元建模和稳健设计方法）来评估该方法的有效性。这项工作如果成功，将为开发正式的、通用的、数学上严谨的方法提供概念证明，用于在项目启动的早期阶段快速探索概念。预计其结果将对工程设计社区和统计社区产生影响，使这两个社区更接近于使用基于严格和数学正确基础的工具来解决实际问题。此外，制造企业成功地使用这种方法将使他们能够快速和经济有效地设计产品平台，从而提高他们的竞争力。