PROMETHEUS: Enabling a Data Rich Additive Manufacturing Process
PROMETHEUS:实现数据丰富的增材制造流程
基本信息
- 批准号:10092251
- 负责人:
- 金额:$ 99.98万
- 依托单位:
- 依托单位国家:英国
- 项目类别:Collaborative R&D
- 财政年份:2024
- 资助国家:英国
- 起止时间:2024 至 无数据
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
AM offers unrivalled flexibility in terms of part geometry, material composition and production volumes. It will revolutionise the high value manufacturing sector such as the aerospace, energy, and medical implant industry, enabling complex, lightweight, high-performance parts to be produced with more functional materials, with less material waste and more economically. Wayland's NeuBeam Technology offers industry a new and more capable AM process. Added capability, however, is often associated with added complexity.In project "Enabling a Data Rich Additive Manufacturing Process" (Project PROMETHEUS) a comprehensive programme of experimental, theoretical and development work will be conducted to unite the essential technologies of the NeuBeam AM process into a data rich process informing customers of build quality and build assurance. Through previous I-UK grants: RAMP-UP; MIRIAM; INSPIRE, THEDUS and I-AM, NeuBeam has become a process tailored for industry's need for machines with serial production capability. Large part production is now an achievable objective, in-process monitoring coupled with Artificial Intelligence / Machine Learning (AI/ML) is capable of maintaining tuned machine performance for optimum melt conditions across all geometries. Fundamental to the process is Wayland's patented NeuBeam technology but this can mask some of the data signals that would benefit the process. The objective of PROMETHEUS is to investigate, using the plasma technologies developed under THEDUS, the electron / plasma / ion interaction during the melt phase and the Back Scattered Electron Detection (BSD) signal that results, thereby incorporating BSD imaging into the machine. NeuBeam is the only AM technology that has the ability to incorporate thermal, visual and BSD imaging, with productivity and scalability.PROMETHEUS aims to ensure that technical complexity is not restrictive to the user but provides a capability that informs the user of part quality.
AM就部分几何形状,材料组成和生产量提供了无与伦比的灵活性。它将彻底改变高价值的制造业,例如航空航天,能源和医疗植入物工业,从而使复杂,轻巧,高性能的零件可以用更具功能性的材料生产,并且材料浪费较少,而且经济上更加经济。 Wayland的Neubeam Technology为行业提供了一个新的,更有能力的AM流程。但是,增加的能力通常与增加的复杂性有关。在“启用数据丰富的增材制造过程”(Prometheus项目)的项目中,将进行一项全面的实验,理论和发展工作计划,以将Neubeam AM进程的基本技术团结到数据丰富的过程中,以使客户的构建质量和建立质量和构建。通过以前的I-UK赠款:提升; Miriam; Inspire,Thedus和I-Am,Neubeam已成为针对行业对具有连续生产能力的机器的需求量身定制的过程。现在,大量生产是一个可实现的目标,过程中的监视,加上人工智能 /机器学习(AI / ML)能够维持调谐的机器性能,以实现所有几何形状的最佳熔体条件。该过程的基础是Wayland获得专利的Neubeam技术,但这可以掩盖一些有益于该过程的数据信号。 Prometheus的目的是使用在THEDUS下开发的等离子体技术,熔体相期间的电子 /等离子体 /离子相互作用以及产生的后散射电子检测(BSD)信号,从而将BSD成像掺入机器中。 Neubeam是唯一具有将热,视觉和BSD成像纳入生产力和可扩展性的能力的AM技术。Prometheus旨在确保技术复杂性不限制对用户,但提供了使用户为用户提供零件质量的能力。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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2021-07-27 - 期刊:
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Stunting as a Risk Factor of Soil-Transmitted Helminthiasis in Children: A Literature Review.
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Aspirin use is associated with decreased inpatient mortality in patients with COVID-19: A meta-analysis.
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10.1016/j.ahjo.2022.100191 - 发表时间:
2022-08 - 期刊:
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Ged?chtnis und Wissenserwerb [Memory and knowledge acquisition]
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10.1007/978-3-662-55754-9_2 - 发表时间:
2019-01-01 - 期刊:
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10.3969/j.issn.1674-764x.2010.02.010 - 发表时间:
2010-06 - 期刊:
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的其他文献
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2908693 - 财政年份:2027
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