Hybrid Modeling the Influence of Post Processing Heat Treatments on the Strengthening Mechanisms of Additively Manufactured Inconel 718

IF 1 Q4 ENGINEERING, MANUFACTURING

Journal of Micro and Nano-Manufacturing Pub Date : 2022-06-27 DOI:10.1115/msec2022-86354

A. Alafaghani, Majed Ali, Abdalmageed Almotari, Jian-Qiao Sun, A. Qattawi

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引用次数: 1

Abstract

Due to the layering nature of additive manufacturing, additively manufactured parts exhibit a unique microstructure and are more susceptible to defects. Post-processing heat treatments of additively manufactured parts have shown great promise in improving their quality and reliability. However, the previous studies presented here demonstrated that additively manufactured parts respond to heat treatments differently compared to their traditional counterparts. This demonstrates a need for models that can predict the influence of different heat treatments on the mechanical behavior of additively manufactured parts. A hybrid approach between data-driven and physically informed models was adopted to model the influence of post-processing heat treatments on the strengthening mechanisms of additively manufactured Inconel 718. This work focuses on Inconel 718 for its common use in additive manufacturing and because it is one of the most studied additively manufactured alloys which resulted in producing more data that can be used to model its behavior.

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后处理热处理对增材制造Inconel 718强化机理影响的混合建模

由于增材制造的层次性，增材制造的零件呈现出独特的微观结构，更容易产生缺陷。增材制造零件的后处理热处理在提高其质量和可靠性方面显示出巨大的前景。然而，先前的研究表明，与传统的零件相比，增材制造的零件对热处理的反应不同。这表明需要能够预测不同热处理对增材制造零件力学行为影响的模型。采用数据驱动模型和物理信息模型的混合方法，模拟了后处理热处理对增材制造Inconel 718强化机制的影响。这项工作的重点是Inconel 718，因为它在增材制造中的普遍应用，因为它是研究最多的增材制造合金之一，导致产生更多的数据，可用于模拟其行为。

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来源期刊

Journal of Micro and Nano-Manufacturing ENGINEERING, MANUFACTURING-

CiteScore

2.70

自引率

0.00%

发文量

期刊介绍： The Journal of Micro and Nano-Manufacturing provides a forum for the rapid dissemination of original theoretical and applied research in the areas of micro- and nano-manufacturing that are related to process innovation, accuracy, and precision, throughput enhancement, material utilization, compact equipment development, environmental and life-cycle analysis, and predictive modeling of manufacturing processes with feature sizes less than one hundred micrometers. Papers addressing special needs in emerging areas, such as biomedical devices, drug manufacturing, water and energy, are also encouraged. Areas of interest including, but not limited to: Unit micro- and nano-manufacturing processes; Hybrid manufacturing processes combining bottom-up and top-down processes; Hybrid manufacturing processes utilizing various energy sources (optical, mechanical, electrical, solar, etc.) to achieve multi-scale features and resolution; High-throughput micro- and nano-manufacturing processes; Equipment development; Predictive modeling and simulation of materials and/or systems enabling point-of-need or scaled-up micro- and nano-manufacturing; Metrology at the micro- and nano-scales over large areas; Sensors and sensor integration; Design algorithms for multi-scale manufacturing; Life cycle analysis; Logistics and material handling related to micro- and nano-manufacturing.