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Flexible, automated production of ceramic short fiber composite components (FlexFiber)

Flexible, automated production of ceramic short fiber composite components (FlexFiber)
灵活、自动化生产陶瓷短纤维复合材料部件 (FlexFiber)
批准号:
518255159
负责人:
Professor Dr. Dominik Henrich
金额:
$0.0万
依托单位国家:
德国
项目类别:
Research Grants
财政年份:
--
资助国家:
德国
项目状态:
未结题
起止时间:

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中文摘要
翻译
为了能够对纤维喷涂过程进行直观的在线机器人编程,需要一种机器人编程系统,其特点是在编程方面具有灵活性,以供中小型公司使用。这可以通过使用可编辑的回放机器人编程来实现。在本研究项目中,首次将可编辑回放机器人编程应用于连续生产过程,以实现机器人支持的小批量生产。因此,领域专家应该能够在没有预先编程知识的情况下操作机器人系统,从而他能够快速地对机器人路径和给定任务所需的外围设备的相关控制进行编程。还将使用基本扩展来调查优化机器人程序的可能性及其在可编辑回放机器人编程中的适用性。氧化物纤维复合材料的纤维喷涂工艺是一个实际应用实例,因为这种材料对纤维束的浸渍和保存提出了特别高的要求,纤维喷涂工艺及其自动化特别适合于这一要求。规划的直观编程将在这种研究较少的复合材料上进行验证,这种复合材料在高温应用(燃烧技术、冶金、热处理)方面具有很大的潜力。如果成功,应用计算机科学和材料工程之间的跨学科合作将为高温轻质建筑用新型材料的过程工程和材料研究提供框架。
英文摘要
In order to enable intuitive on-line robot programming for fiber spray processes, a robot programming system is required which is characterized by its flexibility in programming for the use in small and medium-sized companies. This can be achieved by using editable playback robot programming. In this research project, the editable playback robot programming is applied to a continuous process for the first time in order to enable the robot-supported production of small batches. Thus, a domain expert should be able to operate the robot system without prior programming knowledge, so that he can quickly program a robot path and the associated control of peripheral devices required for a given task. Fundamental extensions are also to be used to investigate possibilities for optimizing robot programs and their applicability within the editable playback robot programming. The fiber spraying process of oxide fiber composites serves as a practical application example, as this material places particularly high demands on the impregnation of fiber bundles and their preservation, for which the fiber spraying process and its automation are particularly suitable. The planned intuitive programming is to be tested as an example on this little-researched composite material, which has great potential for the high temperature application (combustion technology, metallurgy, heat treatment). If successful, the interdisciplinary cooperation between applied computer science and materials engineering provides the framework for the process engineering and materials research of a new class of materials for high-temperature lightweight construction.
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Semantic and Local Computer Vision based on Color/Depth Cameras in Robotics (SeLaVi)
Flexible human-robot cooperation with shared task representation (FlexCobot)
Verbal instructing of sensor-based robots (VerbBot)
Online CAD reconstruction with hand-held depth cameras (HandCAD-2)
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