Research Planning Grant: Grammar-Based Designer Assistance Tools

小行星9634704施密特 该奖项为一个规划项目提供资金，以评估 基于语法的设计方法在设计师辅助工具的发展。 项目任务分为开发和反馈两类。 开发任务包括扩展工作已经完成的图形语法设计算法的生成简单的滚动车从小规模的机械机构组件。 根据这种语法设计的设备可以被构建、测试和评估。 语法将被增强，包括额外的几何推理和扩展到第二个机械设计问题。 本项目中概述的反馈任务包括 建立从学术和工业来源的潜力和要求的生成设计师辅助工具的洞察力。从学术研究人员在机械设计的反馈将收集从会议上介绍的结果，使用基于语法的方法来设计。 反馈也需要从设计师辅助工具的未来用户，以产生如何生成设计工具可以定制，以满足他们的需求的愿景。 将与选定的地区制造商举行单独会议，讨论这一问题，这些制造商在其市场上保持着产品创新者的地位。 该奖项将使研究人员能够将未来的研究工作集中在开发基于语法的机械设计算法方面，从而为工作设计工程师提供真实的兴趣问题的解决方案。 该项目的图形语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，成功使用算法来生成物理实现的设备为使用语法来设计真实世界产品的想法提供了可信度。 该项目期间改进的算法将作为学习工具和模型，用于创建更大的、基于语法的产品开发系统。

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.