SBIR Phase II: Swarm 3D Printing and Assembly for Autonomous Manufacturing

SBIR 第二阶段：用于自主制造的群体 3D 打印和组装

• 批准号: 2112009
• 负责人: Zachary Hyden
• 金额: $ 100万
• 依托单位: AMBOTS, INC.
• 依托单位国家: 美国
• 项目类别: Cooperative Agreement
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-08-15 至 2024-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2112009&HistoricalAwards=false
• 关键词: SBIR; Phase; II; Swarm; 3D

The broader impact of this Small Business Innovation Research (SBIR) Phase II project is to enable a new manufacturing paradigm that can enable long-term autonomy of manufacturing via a proposed swarm 3D printing and assembly (SPA) platform, a method to coordinate robotic assembly. The first envisioned application is the architectural precast construction industry, which suffers from a shortage of skilled labor, long turnover time, and high cost of equipment and operation for making precast molds. This technology will further enable novel cooperative and autonomous manufacturing modalities. This Small Business Innovation Research (SBIR) Phase II project realizes the cooperation of multiple independent 3D printing and assembly robots. The technical objectives are to improve the current platform, with technical focus areas of: improving the printing speed of individual 3D printers, fully automating material refill and build plate placement, developing planning and scheduling algorithms to support large-scale SPA for multi-job printing, and creating a new calibration method to improve printing quality.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.

这个小企业创新研究（SBIR）第二阶段项目的广泛影响是，通过提议的蜂群3D打印和装配（SPA）平台，一种协调机器人装配的方法，实现一种新的制造范式，可以实现长期的制造自治。第一个设想的应用是建筑预制建筑行业，该行业面临着熟练劳动力短缺、周转时间长、制造预制模具的设备和操作成本高的问题。这项技术将进一步实现新的合作和自主制造模式。该小企业创新研究（SBIR）二期项目实现了多个独立3D打印装配机器人的合作。技术目标是改进现有平台，技术重点领域包括：提高单个3D打印机的打印速度，全自动材料填充和构建板放置，开发计划和调度算法以支持多任务打印的大规模SPA，以及创建新的校准方法以提高打印质量。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

LayerLock: Layer-Wise Collision-Free Multi-Robot Additive Manufacturing Using Topologically Interlocked Space-Filling Shapes

• DOI: 10.1016/j.cad.2022.103392
• 发表时间: 2022-08-19
• 期刊: COMPUTER-AIDED DESIGN
• 影响因子: 4.3
• 作者: Krishnamurthy, Vinayak;Poudel, Laxmi;Sha, Zhenghui
• 通讯作者: Sha, Zhenghui