Robotics & Machine Learning Daily News2024,Issue(Jun.4) :101-102.

Studies from University of Natural Resources and Applied Life Science Reveal New Findings on Robotics (Comparison of Pull-out Capacities of Robotically and Manu ally Drilled and Set Fasteners)

自然资源大学和应用生命科学的研究揭示了机器人学的新发现(比较机械钻削和固定紧固件的拔出能力)

Robotics & Machine Learning Daily News2024,Issue(Jun.4) :101-102.

Studies from University of Natural Resources and Applied Life Science Reveal New Findings on Robotics (Comparison of Pull-out Capacities of Robotically and Manu ally Drilled and Set Fasteners)

自然资源大学和应用生命科学的研究揭示了机器人学的新发现(比较机械钻削和固定紧固件的拔出能力)

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摘要

由一位新闻记者兼机器人与机器学习的工作人员新闻编辑每日新闻-机器人的新研究是一份报告的主旨。根据NewsRx记者从奥地利维也纳发回的新闻报道,研究表明,“混凝土中安装后的紧固件的性能可能受到所选择的钻孔和设置技术的影响。在开发用于施工现场实施的钻孔机器人的背景下,评估了自动设置过程对加固系统拔出载荷的影响。”本研究的财政支持来自Fischerwerke GmbH公司。我们的新闻编辑从Natur al Resources and Applied Life Science大学的研究中获得了引用,“本文研究了两种不同的固定系统,即滴入式膨胀和化学锚对手动和机器人钻孔和安装的PUL L-out行为的影响。而对于化学锚,结果表明,机器人安装可产生类似的拔出力,偏差较小,机器人钻孔中的膨胀锚比人工钻孔中的膨胀锚显示出略低的拔出荷载。此外,机器人设置的化学锚具有更均匀的拔出性能。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Robotics is the subjec t of a report. According to news reporting originating from Vienna, Austria, by NewsRx correspondents, research stated, “The performance of postinstalled faste ners in concrete can be affected by the chosen drilling and setting techniques. In the context of the development of a drilling robot for construction site impl ementation the impact of an automated setting process on the pull-out loads of f astening systems was evaluated.” Financial support for this research came from Fischerwerke GmbH Co. Our news editors obtained a quote from the research from the University of Natur al Resources and Applied Life Science, “This article investigates the effect of two different fixing systems, drop-in expansion and chemical anchors, on the pul l-out behaviour of manual and robotic drilling and installation. While for chemi cal anchors, the results indicate that robotic installation leads to similar pul l-out forces with smaller deviation, expansion anchors in robotically drilled ho les show slightly lower pull-out loads than those in manually drilled holes. Fur thermore, a more uniform pull-out behaviour was observed for chemical anchors wh en set by the robot.”

Key words

Vienna/Austria/Europe/Emerging Techno logies/Machine Learning/Robot/Robotics/Robots/University of Natural Resourc es and Applied Life Science

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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