Project AHMAP - Analysis of Heterogeneous Multi-scale Material Properties for Metal Additive Manufacturing Structures

AHMAP 项目 - 金属增材制造结构的异质多尺度材料特性分析

• 批准号: 10022857
• 金额: $ 2.57万
• 依托单位: THE PLASTIC ECONOMY LTD
• 依托单位国家: 英国
• 项目类别: Collaborative R&D
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=10022857
• 关键词: Project; AHMAP; Analysis; Heterogeneous; Multi

Metal additive manufacturing is the process of building up parts in a layerwise process, rather than machining them from initial homogeneous bulk material. By selectively adjusting the machine parameters it is possible to include multiple material properties within a single part, enabling a wider range of more optimised designs than has previously been possible. There is an ever-expanding range of Additive processes and materials, enabling totally new performing parts that are lighter and have novel functions. Additive Flow is the leading software provider for multi-property optimisation and has the capability of generating new ways of manufacturing with multi-properties, and multiple process parameters. This is a fresh new area for growth within engineering in the UK and internationally. In order to unlock the potential of this multi-property optimisation, new ways of testing and gathering data for components that have multiple material properties are needed. We generate in collaboration with NPL a series of multi-property components, which will then be tested and the data will be fed back into the existing software that will improve engineering performance and cost savings for manufacturing. Additional benefits include reducing complexity for users within a multi-scale and multi-disciplinary engineering design space increasing accessibility and adoption of new technologies. Additive Flow's optimisation software determines trade-offs between manufacturing speed and cost against the function and performance of the final part. This can allow more novel parts to be produced quicker and more cost-effectively, enabling greater exploitation of the benefits of AM. However, many of the resulting designs result in inhomogeneous material for which accurate material property data is lacking. The lack of data has resulted in sub-optimal optimisation due to the need to be sufficiently cautious to avoid part failure and subsequently the certification is also expensive. This project will take approaches to measure and evaluate the physical material properties of heterogeneous structures and use this data to validate processing parameters predicted by the digital simulation. This has benefits to the development of the UK industry, where the solution would greatly improve design optimisation processes, have positive economic, social and environmental implications because material wastage is minimised and process failure is avoided.

金属添加剂制造是在一层过程中建立零件的过程，而不是从初始均匀的散装材料中加工它们。通过选择性调整机器参数，可以在单个部分中包含多个材料属性，从而实现比以前更广泛的设计更广泛的设计。添加过程和材料范围不断扩大，使全新的性能零件更轻，具有新颖的功能。加性流是多产品优化的领先的软件提供商，并且具有通过多代理和多个过程参数生成新制造方式的能力。这是英国和国际工程工程领域增长的崭新领域。为了释放这种多毛皮优化的潜力，需要为具有多种材料属性的组件测试和收集数据的新方法。我们与NPL合作生成了一系列的多产品组件，然后将对它们进行测试，并将数据馈回现有软件，以改善工程性能和为制造业节省成本。其他好处包括减少多尺度和多学科工程设计空间中用户的复杂性，从而提高了新技术的可访问性和采用。增材流的优化软件决定了制造速度与成本之间的权衡，而不是最终部分的功能和性能。这可以使更多新颖的部分更快，更具成本效益，从而更加利用AM的好处。但是，许多由此产生的设计导致缺乏准确的材料属性数据的不均匀材料。由于需要对零件故障避免零件故障，因此缺乏数据导致了次优的优化，随后该认证也很昂贵。该项目将采取方法来测量和评估异质结构的物理材料特性，并使用此数据来验证数字模拟预测的处理参数。这对英国行业的发展具有好处，在该工业中，解决方案将大大改善设计优化过程，具有积极的经济，社会和环境影响，因为材料浪费是最小的，并且避免了过程故障。