Research Planning Grant: Grammar-Based Designer Assistance Tools

9634704施密特该奖项为一个规划项目提供资金，该项目旨在评估基于语法的设计方法在开发设计师辅助工具方面的潜力。项目任务分为发展类和反馈类。开发任务包括扩展已经完成的图文法设计算法的工作，该算法用于从小型机械机械部件生成简单的滚动小车。根据该语法设计的设备可以被构建、测试和评估。语法将被扩充，以包括额外的几何推理，并扩展到第二个机械设计问题。本项目中概述的反馈任务是为了从学术和工业来源获得关于生成性设计师辅助工具的潜力和要求的洞察力。来自机械设计学术研究人员的反馈将从使用基于语法的方法进行设计的结果的会议演示中收集。设计师辅助工具的未来用户也需要反馈，以制定如何根据他们的需求定制生产性设计师工具的愿景。讨论这一问题的个别会议将与那些在其市场上保持产品创新者地位的选定地区制造商举行。这一奖项将使研究人员能够将未来的研究重点放在为机械设计开发基于语法的算法上，以提供工作设计工程师真正感兴趣的问题的解决方案。根据本项目的图文法算法设计的设备是真实世界机械设备的功能比例模型。因此，成功地使用该算法来生成物理实现的设备，为使用语法来设计现实世界产品的想法提供了可信度。在这个项目中改进的算法将作为一个学习工具和模型，用于为产品开发创建更大的、基于语法的系统。

9634704 Schmidt This award provides funding for a planning project to assess the potential of grammar-based design approaches in the development of designer assistance tools. The project tasks are divided into categories of development and feedback. The development tasks consist of extending work already completed on a graph-grammar design algorithm for the generation of simple rolling carts from small-scale mechanical mechanism components. Devices designed by this grammar can be built, tested and evaluated. The grammar will be augmented to include additional geometric reasoning and extended to a second mechanical design problem. The feedback tasks outlined in this project are established to gain insight from academic and industrial sources on the potential of and requirements for a generative designer assistance tool. Feedback from academic researchers in mechanical design will be gathered from conference presentation of results of using the grammar-based approach to design. Feedback is also needed from future users of designer assistance tools to produce a vision of how generative designer tools can be tailored to meet their needs. Individual meetings to discuss this issue will be conducted with selected area manufacturers who maintain positions in their markets as product innovators. This award will enable researchers to focus future research efforts in development of grammar-based algorithms for mechanical design in ways that will provide solutions to problems of real interest to working design engineers. Devices designed by the graph-grammar algorithm of this project are functioning scale-models of real-world mechanical devices. Therefore, the successful use of the algorithm to generate physically-realized devices lends credibility to the idea of using a grammar to design real-world products. The algorithm refined during this project will then serve as a learning tool and model for the creation of larger, grammar-based systems for product development.