SBIR Phase I: Development of an AI PCB Prototyping Service called FlashPCB

SBIR 第一阶段：开发名为 FlashPCB 的 AI PCB 原型设计服务

• 批准号: 2212989
• 负责人: Thomas Castner
• 金额: $ 25.6万
• 依托单位: GRAVEL CAPITAL LLC
• 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: 2022-09-15 至 2023-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2212989&HistoricalAwards=false
• 关键词: SBIR; Phase; Development; AI; PCB

The broader impact of this SBIR Phase I project is to create an artificial intelligence-powered printed circuit board assembly (PCBA) service that facilitates innovation and economic growth in the United States. Prototyping PCBAs is a key element in the innovation process for all electronics from consumer goods to medical devices, but current PCBA prototyping services are limited by manual steps and supply chain shortages. The artificial intelligence innovation of this project will save the customers time through strategic automation, shortening innovation timelines, and bringing new products to market faster. Currently, China and other Asian countries are still dominating the PCBA market share, serving many customers from the United States. There is an opportunity to provide high-quality, cost-competitive manufacturing in the United States to better serve the market and meet the rising demand for PCBAs. Additionally, investment in domestic manufacturing will strengthen electronic manufacturing capabilities, reduce dependence on foreign markets, and protect intellectual property. The technical innovation of this project is the development of two artificial intelligence algorithms that work together to determine the optimal selection of components to be mounted on a customer’s printed circuit board. The first algorithm reads the design file and identifies the properties of the components that the user has specified for their design. The second algorithm takes these properties as its input and selects in stock parts for the components in the design which will then be mounted onto the printed circuit board. This is a cost and time saving innovation that uses state of the art artificial intelligence algorithms and encodes electrical engineering principles. The key objectives for this project are to understand the types and combinations of components that our customers are likely to use in their designs, to define and test the algorithm for component property identification, and to define and test the algorithm which will choose the optimal components used for the manufacture of PCBAs.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.

SBIR I期项目的更广泛的影响是创建一个由人造驱动的印刷电路板组件（PCBA），可以使消费品的创新和经济增长对医疗设备。 Suppry Chan短缺。在美国，质量竞争性的制造业为PCBA的投资提供了不断增长的需求。两种人工智能共同确定要安装在印刷电路板上的组件的最佳选择第二算法将这些属性作为输入，并在库存中选择设计中的组件，然后将其安装到印刷电路板上。工程原则。选择用于制造PCBA的最佳组件。该奖项反映了NSF'SF'SF'Sf'Story Mission，并使用基金会的知识分子优点和更广泛的影响评估标准通过评估来获得支持。