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Digitisation of metal AM for part microstructure and property control

机译:金属增材制造数字化,用于零件微观结构和性能控制

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摘要

Metal additive manufacturing, which uses a layer-by-layer approach to fabricate parts, has many potential advantages over conventional techniques, including the ability to produced complex geometries, fast new design part production, personalised production, have lower cost and produce less material waste. While these advantages make AM an attractive option for industry, determining process parameters which result in specific properties, such as the level of porosity and tensile strength, can be a long and costly endeavour. In this review, the state-of-the-art in the control of part properties in AM is examined, including the effect of microstructure on part properties. The simulation of microstructure formation via numerical simulation and machine learning is examined which can provide process quality control and has the potential to aid in rapid process optimisation via closed loop control. In-situ monitoring of the AM process, is also discussed as a route to enable first time right production in the AM process, along with the hybrid approach of AM fabrication with post-processing steps such as shock peening, heat treatment and rolling. At the end of the paper, an outlook is presented with a view towards potential avenues for further research required in the field of metal AM.
机译:金属增材制造采用逐层方法制造零件,与传统技术相比具有许多潜在优势,包括能够生产复杂的几何形状、快速的新设计零件生产、个性化生产、成本更低和产生的材料浪费更少。虽然这些优势使增材制造成为工业界的一个有吸引力的选择,但确定产生特定性能的工艺参数,如孔隙率和抗拉强度,可能是一项漫长而昂贵的工作。本文综述了增材制造中零件性能控制的最新技术,包括微观结构对零件性能的影响。研究了通过数值模拟和机器学习对微观结构形成的模拟,这可以提供过程质量控制,并有可能通过闭环控制帮助快速优化过程。此外,还讨论了增材制造工艺的原位监测,作为在增材制造工艺中实现首次正确生产的途径,以及增材制造与后处理步骤(如冲击喷丸、热处理和轧制)的混合方法。在本文的最后,展望了金属增材制造领域进一步研究的潜在途径。

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