Robotics & Machine Learning Daily News2024,Issue(Jun.26) :105-108.

'Trimming and Scrap Removal System for Composite Structures' in Patent Applicati on Approval Process (USPTO 20240181725)

专利申请批准程序中的“复合材料结构修边除屑系统”(USPTO 20240181725)

Robotics & Machine Learning Daily News2024,Issue(Jun.26) :105-108.

'Trimming and Scrap Removal System for Composite Structures' in Patent Applicati on Approval Process (USPTO 20240181725)

专利申请批准程序中的“复合材料结构修边除屑系统”(USPTO 20240181725)

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摘要

Robotics&Machine Learning Daily News的新闻记者兼工作人员新闻编辑-发明者安,乔纳森·杨(华盛顿州西雅图);鲍尔,奥斯汀(华盛顿州西雅图);本特利,本杰明(华盛顿州斯潘纳韦);布朗,克里斯托弗·罗伯特(华盛顿州西雅图);邦奇,卡梅隆(华盛顿州奥本,华盛顿州奥本);弗里茨克,里卡多·安德烈亚斯(华盛顿州肯特,乔纳森·维纳查,华盛顿州根据来自华盛顿特区的新闻报道,美国华盛顿州于2022年12月2日提交,2024年6月6日在Lin E上公布。,由NewsRx记者报道。本专利申请未转让给公司或机构。以下引文由新闻编辑从发明人提供的背景信息中获得:“本公开内容一般涉及复合结构的制造。更具体地说,本发明涉及一种用于制造飞行器应用的复合材料结构的修整系统。制造商使用复合材料结构为各种应用提供轻质和结构健全的部件。提高复合材料制造过程的效率是飞行器制造商的优先事项。他们寻求降低成本和增加飞行器的生产速率,同时最小化返工或报废的风险。复合材料零件的加工过程。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-A patent application by the inventors Ahn, Jonathan Young (Seattle, WA, US); Ball, Austin (Seattle, WA, US); Bentley, Benjamin (Spanaway, WA, US); Brown, Christopher Robert (Seattle, WA, US); Bunch, Cameron (Auburn, WA, US); Fritzke, Ricardo Andreas (Sammamish, WA, US); Jeyacha ndran, Jonathan (Seattle, WA, US); Nguyen, Sang Vinh Van (Seattle, WA, US); Sith at, Kimhoeut (Kent, WA, US), filed on December 2, 2022, was made available onlin e on June 6, 2024, according to news reporting originating from Washington, D.C. , by NewsRx correspondents. This patent application has not been assigned to a company or institution. The following quote was obtained by the news editors from the background informa tion supplied by the inventors: " "The present disclosure relates generally to manufacturing composite structures. More specifically, the present disclosure relates to a trimming system used in manufacturing composite structures for aircraft applications. "Manufacturers use composite structures to provide light-weight and structurally sound parts for various applications. Increasing the efficiency of the composit e manufacturing process is a priority for aircraft manufacturers. They seek to l ower costs and increase the rate at which an aircraft is produced while minimizi ng the risk of rework or discarding of composite parts during the process.

Key words

Emerging Technologies/Machine Learning/Patent Application/Robotics/Robots

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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