On the Development of Smart Framework for Printability Maps in Additive Manufacturing of AISI 316L Stainless Steel.

IF 2.3 4区 工程技术 Q3 ENGINEERING, MANUFACTURING 3D Printing and Additive Manufacturing Pub Date : 2024-06-18 eCollection Date: 2024-06-01 DOI:10.1089/3dp.2023.0016
Muhammad Arif Mahmood, Asif Ur Rehman, Marwan Khraisheh
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Abstract

In this work, we propose a methodology to develop printability maps for the laser powder bed fusion of AISI 316L stainless steel. Regions in the process space associated with different defect types, including lack of fusion, balling, and keyhole formation, have been considered as a melt pool geometry function, determined using a finite element method model containing temperature-dependent thermophysical properties. Experiments were performed to validate the printability maps, showing a reliable correlation between experiments and simulations. The validated simulation model was then applied to collect the data by varying laser scanning speed, laser power, powder layer thickness, and powder bed preheating temperature. Following this, the collected data were used to train and test the adaptive neuro-fuzzy interference system (ANFIS)-based machine learning model. The validated ANFIS model was used to develop printability maps by correlating the melt pool characteristics to the defect types. The smart printability maps produced by the proposed methodology can be used to identify the processing window to attain defects-free components, thus attaining dense parts.

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关于 AISI 316L 不锈钢增材制造中可印刷性地图智能框架的开发。
在这项工作中,我们提出了一种方法来绘制 AISI 316L 不锈钢激光粉末床熔融的印刷适性图。工艺空间中与不同缺陷类型相关的区域,包括未熔合、起球和键孔的形成,都被视为熔池几何函数,并使用包含随温度变化的热物理性质的有限元法模型来确定。实验验证了印刷适性图,显示实验和模拟之间存在可靠的相关性。然后,通过改变激光扫描速度、激光功率、粉末层厚度和粉末床预热温度,将经过验证的模拟模型用于收集数据。之后,收集到的数据被用于训练和测试基于自适应神经模糊干涉系统(ANFIS)的机器学习模型。通过将熔池特征与缺陷类型相关联,验证后的 ANFIS 模型被用于绘制印刷适性图。建议方法生成的智能印刷适性图可用于确定加工窗口,以实现无缺陷部件,从而获得致密部件。
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来源期刊
3D Printing and Additive Manufacturing
3D Printing and Additive Manufacturing Materials Science-Materials Science (miscellaneous)
CiteScore
6.00
自引率
6.50%
发文量
126
期刊介绍: 3D Printing and Additive Manufacturing is a peer-reviewed journal that provides a forum for world-class research in additive manufacturing and related technologies. The Journal explores emerging challenges and opportunities ranging from new developments of processes and materials, to new simulation and design tools, and informative applications and case studies. Novel applications in new areas, such as medicine, education, bio-printing, food printing, art and architecture, are also encouraged. The Journal addresses the important questions surrounding this powerful and growing field, including issues in policy and law, intellectual property, data standards, safety and liability, environmental impact, social, economic, and humanitarian implications, and emerging business models at the industrial and consumer scales.
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