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基于粉末添加剂制造（PBAM）工艺或3D打印的非球粒粉末和粉末的加工性。这将通过扩展在主机机构开发的最先进的计算框架来实现这一目标，以提供对整个过程进行建模的能力。因此，研究员（1）建立了一种新的程序，以合并在超过500°C的温度下获得的粉末表征数据，相当于在PBAM构建室内经历的粉末表征数据； （2）开发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）开发一个准确的模型来预测粉末融化和蒸发； （4）查明晶粒形状对熔体池动力学的影响，以使粉末的加工性（5）与工业和学术研究合作伙伴互动，以确保广泛采用开发模型。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的实用性（HPC）在解决复杂的科学/工程问题中的意识。通过在UEDIN和主持人的学术和工业合作伙伴网络中汇集了一个有能力的学者和工程师团队来确保该项目的成功，他们将与申请人合作，为这项研究挑战提供了突破性的解决方案。及时的奖励将帮助申请人独立开拓这一研究，并建立自己具有全球能力的研究团队。

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