HIGH-FIDELITY MODELLING OF POWDER-BASED ADDITIVE MANUFACTURING PROCESSES

基于粉末的增材制造过程的高保真建模

• 批准号: EP/X024180/1
• 负责人: Sina Haeri
• 金额: $ 24.26万
• 依托单位: University of Edinburgh
• 依托单位国家: 英国
• 项目类别: Fellowship
• 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%2FX024180%2F1
• 关键词: FIDELITY; MODELLING; POWDER; BASED; ADDITIVE

This 2-year project aims to increase the processibility of recycled powders and powders with aspherical grains in powder-based Additive Manufacturing (PBAM) process or 3D printing. This will be achieved by extending a state-of-the-art computational framework, developed at the Host institution, to provide the ability to model a full cycle of the process. Therefore, the fellow will (1) establish a novel procedure for incorporating the powder characterisation data obtained at temperatures exceeding 500C, equivalent to those experienced in the PBAM build chamber; (2) develop a new ray-tracing model to accurately predict laser absorption in fine powders; (3) develop an accurate model to predict the powder melting and evaporation; (4) pinpoint the impact of grain shape on melt-pool dynamics to allow for aspherical grains while maintaining the powder processability (5) engage with industrial and academic research partners to ensure wide adoption of the developed models. The impact of the project is far-reaching: from reducing the costs of raw material for PBAM to increasing public awareness of the utility of high-performance computing (HPC) in solving complex scientific/engineering problems. The success of the project is ensured by bringing together a competent team of academics and engineers with complementary multidisciplinary skills at UEDIN and the host's network of academic and industrial partners who will work with the applicant to provide a ground-breaking solution to this research challenge. The timely award of this fellowship will help the applicant to develop his skills to pioneer this line of research independently and build his own globally competent research team.

这个为期两年的项目旨在提高粉末基增材制造（PBAM）工艺或3D打印中回收粉末和非球形颗粒粉末的可加工性。这将通过扩展在东道国机构开发的最先进的计算框架来实现，以提供模拟整个过程周期的能力。因此，研究员将(1)建立一种新的程序，用于合并在超过500℃的温度下获得的粉末特性数据，相当于在PBAM构建室中所经历的温度；(2)建立了一种新的射线追踪模型，以准确预测细粉末中的激光吸收；(3)建立准确的粉末熔化和蒸发预测模型；(4)确定颗粒形状对熔池动力学的影响，在保持粉末可加工性的同时允许非球形颗粒；(5)与工业和学术研究伙伴合作，确保所开发模型的广泛采用。该项目的影响是深远的：从降低PBAM的原材料成本到提高公众对高性能计算（HPC）在解决复杂科学/工程问题中的效用的认识。该项目的成功是通过汇集一个有能力的学者和工程师团队，在edin具有互补的多学科技能，以及东道国的学术和工业合作伙伴网络，他们将与申请人合作，为这一研究挑战提供突破性的解决方案。及时授予该奖学金将有助于申请人发展自己的技能，独立开拓这一研究领域，并建立自己的具有全球竞争力的研究团队。

项目成果

The effects of interstitial inert gas on the spreading of Inconel 718 in powder bed fusion

• DOI: 10.1016/j.addma.2023.103737
• 发表时间: 2023-08
• 期刊: Additive Manufacturing
• 影响因子: 11
• 作者: S. Khajepor;O. Ejtehadi;S. Haeri

Force-Chain Finder: A software tool for the recursive detection of force-chains in granular materials via minor principal stress

• DOI: 10.1016/j.cpc.2023.109070
• 发表时间: 2023-12
• 期刊: Comput. Phys. Commun.
• 作者: Omid Ejtehadi;Aashish K. Gupta;S. Khajepor;Sina Haeri