I-Corps: An Intelligent Re-Design Recommender System for Additive and Hybrid Manufacturing

I-Corps：用于增材和混合制造的智能重新设计推荐系统

• 批准号: 2227223
• 负责人: Kemper Lewis
• 金额: $ 5万
• 依托单位: SUNY at Buffalo
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-06-15 至 2023-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2227223&HistoricalAwards=false
• 关键词: Corps; Intelligent; Re; Design; Recommender

The broader impact/commercial potential of this I-Corps project is the development of a potentially novel, robust, intelligent, and automated assessment and re-design global evaluation system that provides precise feedback on components’ printability for advanced manufacturing. Such evaluations could reduce mistakes and printing failures, potentially avoid costly trial-and-error exercises, and remove biases and inconsistencies that arise from inefficient or manual evaluation processes. This system allows for potentially effectively organizing assessments and can avoid costly computations and modifications. This capability, therefore, could prevent the waste of energy, time, and financial resources imposed by current manual assessments of components’ printability. This I-Corps project is based on the development of a novel re-design recommender system that may allow companies with large inventories of existing parts to quickly assess the feasibility of employing additive manufacturing for each part and to implement necessary re-design approaches as appropriate. The technology encompasses multiple intelligent assessments and re-design methodologies, as well as a fully automated correction system that rectifies the geometries of problematic components and converts designs to be advanced manufacturing compatible. These re-design solutions can potentially provide successful geometries for 3D-printing components using different techniques. Lastly, this technology can present a novel design recommender system that intelligently analyzes an extensive database of closely related components for advanced manufacturing using machine learning techniques to provide effective design recommendations for those component clusters whose current designs are deemed inefficient for advanced manufacturing.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该 I-Corps 项目更广泛的影响/商业潜力是开发一种潜在的新颖、强大、智能和自动化的评估和重新设计的全球评估系统，该系统可以为先进制造的组件的可印刷性提供精确的反馈。错误和打印失败，可能避免昂贵的试错练习，并消除因低效或手动评估过程而产生的偏差和不一致。该系统可以有效地组织和评估，可以避免昂贵的计算和修改。可以防止浪费该 I-Corps 项目基于一种新颖的重新设计推荐系统的开发，该系统可以使拥有大量现有零件库存的公司能够快速评估现有零件的可打印性。对每个零件采用增材制造，并酌情实施必要的重新设计方法，该技术包括多种智能评估和重新设计方法，以及一个全自动校正系统，可以纠正有问题的组件的几何形状并将设计转换为先进的。制造兼容。重新设计解决方案有可能为使用不同技术的 3D 打印组件提供成功的几何形状，该技术可以提供一种新颖的设计推荐系统，该系统可以使用机器学习技术智能地为先进制造提供密切相关组件的广泛数据库，以提供有效的设计建议。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。