Collaborative Research: MAPS - MetaAnalogy via Performance Specification

协作研究:MAPS - 通过性能规范进行元类比

基本信息

  • 批准号:
    1234859
  • 负责人:
  • 金额:
    $ 21.36万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2012
  • 资助国家:
    美国
  • 起止时间:
    2012-08-15 至 2016-07-31
  • 项目状态:
    已结题

项目摘要

This collaborative research will define a new approach for retrieving useful analogies for innovation based on the relevant performance characteristics of critical functions. Analogy matching is made possible by the novel incorporation of Non Uniform Rational B-spline (NURBs) based metamodels that enable efficient representation of critical function performance. These metamodels are obtained from simulations, engineering models (such as bond graphs) and/or experimental data collections. This approach will enable multiple analogies to be presented to the designer with a quantified match quality metric related to the desired performance benefit to the design. The impact of this approach for inspiring novel designs will be measured through controlled experiments measuring the impact of the MetaAnalogy via Performance Specification (MAPS) technique at both the conceptual design phase and throughout the design process. Working prototypes from the experiments will allow for direct quantification of performance.Engineering innovation is critical to meet a vast array of challenges including the grand engineering challenges of the 21st century in the form of energy and environmental solutions. If successful, results of the research will provide a critical foundation for new approaches to analogy retrieval based on quantitative performance measures along with function for use in education and industry. Class modules applying MAPS to analogy-based innovation will be created. Workshops integrated with webinars on MAPS and design by analogy will be used to disseminate research results beyond the educational sector and to provide necessary educational tools to bring design by analogy and quantification via Metamodeling into the classroom.
这项合作研究将定义一种新的方法,检索有用的类比创新的基础上的关键功能的相关性能特征。类比匹配是可能的,通过新的非均匀有理B样条(CNORBs)的元模型,使关键功能性能的有效表示。这些元模型是从模拟,工程模型(如键合图)和/或实验数据收集。这种方法将使多个类比呈现给设计师与量化的匹配质量度量相关的设计所需的性能优势。这种方法的影响,激发新的设计将通过控制实验测量的影响,通过性能规范(MAPS)技术在概念设计阶段和整个设计过程中的元类比。工程创新对于应对各种挑战至关重要,包括21世纪能源和环境解决方案方面的重大工程挑战。如果成功的话,研究结果将提供一个重要的基础,新的方法来类比检索的基础上,定量性能指标沿着功能,用于教育和工业。将创建将MAPS应用于基于类比的创新的类模块。与MAPS和类比设计网络研讨会相结合的研讨会将用于传播教育部门以外的研究成果,并提供必要的教育工具,通过元建模将类比和量化设计带入课堂。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

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Cameron Turner其他文献

Beginning Google Maps Applications with PHP and Ajax: From Novice to Professional
使用 PHP 和 Ajax 开始 Google 地图应用程序:从新手到专业人士
  • DOI:
  • 发表时间:
    2006
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Jeffrey Sambells;Cameron Turner;Michael Purvis
  • 通讯作者:
    Michael Purvis
People evaluate idle collaborators based on their impact on task efficiency
  • DOI:
    10.1016/j.cognition.2025.106200
  • 发表时间:
    2025-11-01
  • 期刊:
  • 影响因子:
    2.800
  • 作者:
    Elizabeth Mieczkowski;Cameron Turner;Natalia Vélez;Thomas L. Griffiths
  • 通讯作者:
    Thomas L. Griffiths
Investigating the Effects of CERA on Design Requirement Detail
研究 CERA 对设计需求细节的影响

Cameron Turner的其他文献

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{{ truncateString('Cameron Turner', 18)}}的其他基金

Design Space Analysis with Hyperdimensional Metamodels
使用超维元模型设计空间分析
  • 批准号:
    0900182
  • 财政年份:
    2009
  • 资助金额:
    $ 21.36万
  • 项目类别:
    Standard Grant

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