RELIANCE: REaL-tIme characterization of ANisotropic Carbon-based tEchnological fibres, films and composites

可靠性：各向异性碳基技术纤维、薄膜和复合材料的实时表征

• 批准号: EP/X026884/1
• 负责人: Philip Withers
• 金额: $ 67.6万
• 依托单位: University of Manchester
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FX026884%2F1
• 关键词: RELIANCE; REaL; tIme; characterization; ANisotropic

RELIANCE will develop and implement depth-resolved multimodal X-ray imaging and scattering tools that will enable the automatedreal-time characterization at the nano-scale of the structure and morphology of materials, devices and their manufacturing processes,reliably and with precision. Providing training in the use of these tools, as well as training in open-access science and development oftransferable skills for all ESR fellows is one of the key objectives of RELIANCE.The methodologies developed by RELIANCE will be implemented for optimizing and controlling the processing of high-performancepolymeric materials and composites, i.e. solution-spinning of aramid fibres, compaction-heat stretching of polyethylene film, andpultrusion of composites. RELIANCE will significantly improve quality control of a wide range of technological materials used incomposite materials. Through integration of real-time data analysis and process parameters by application of machine learning, themethods will lend themselves to Industry 4.0 solutions relying on cyber physical systems for decentralized decisions based on actual,current structural properties observed during processing.The real-time access to nanostructure in the diverse applications is provided by specialized X-ray instrumentation. A sharedmethodology for data reconstruction and machine-learning assisted analysis exploiting prior knowledge and modelling of structuralanisotropy, is applied to enable the data reduction speed required to match industrial processing.RELIANCE brings together a consortium of leading international experts in X-ray scattering, imaging and automatized analysis ofscattering data, 3D reconstruction algorithms and automatized analysis of imaging data and Materials Applications, with industrialleaders in manufacturing and application of high-performance polymer materials, and in highly specialized X-ray instrumentation andscientific data acquisition and analysis.

Reliance将开发和实施深度分辨的多模式X射线成像和散射工具，这些工具将在材料，设备及其制造过程的结构和形态的纳米尺度上具有自动化时间的表征，并可靠地和精确。 Providing training in the use of these tools, as well as training in open-access science and development oftransferable skills for all ESR fellows is one of the key objectives of RELIANCE.The methodologies developed by RELIANCE will be implemented for optimizing and controlling the processing of high-performancepolymeric materials and composites, i.e. solution-spinning of aramid fibres, compaction-heat stretching of polyethylene film, andpultrusion of复合材料。依赖将显着改善对多种技术材料的质量控制。通过通过应用机器学习来整合实时数据分析和过程参数，其中设备将根据工业4.0解决方案依靠网络物理系统来基于在处理过程中观察到的实际，当前的结构属性进行分散决策的解决方案。在处理过程中观察到的实际，当前的结构性属性。在多种应用程序中实时访问纳米结构的各种应用程序由专用X射线仪器提供。用于数据重建和机器学习的共享方法，用于利用先验知识和结构性疾病的建模的辅助分析，用于启用匹配工业处理所需的数据降低速度。依从统计将领先的国际专家组成的X射线散射，成像分析和自动化的数据分析和自动构造数据的国际专家组成，并将其图像分析，并自动化数据，并自动构造数据，图像构造，自动构造，图像构造，自动化的数据，图像。高性能聚合物材料制造和应用的工业领导者，以及高度专业的X射线仪器和得分的数据采集和分析。