计算机科学
制造工程
过程(计算)
质量(理念)
产品(数学)
比例(比率)
系统工程
工业工程
工艺工程
工程类
哲学
物理
几何学
数学
认识论
量子力学
操作系统
作者
Sandeep Suresh Babu,Abdel‐Hamid I. Mourad,Khalifa H. Harib,Sanjairaj Vijayavenkataraman
标识
DOI:10.1080/17452759.2022.2141653
摘要
The application of three-dimensional (3D) printing/Additive Manufacturing (AM) for developing multi-functional smart/intelligent composite materials is a highly promising area of engineering research. However, there is often no reliable means for predicting and modelling the material performance, and the wide-scale industrial adoption of AM is limited due to factors such as design barriers, limited materials library, processing defects and inconsistency in product quality. A comprehensive framework considering the generalised applicability of ML algorithms at sub-sequent stages of the AM process from the initial design to the post-processing stages in the literature is lacking. In this paper, the integration of various ML applications at various sub-processes is discussed, including pre-processing design stage, parameter optimisation, anomaly detection, in-situ monitoring, and the final post-processing stages. The challenges and potential solutions for standardising these integrated techniques have been identified. The article is promising for professionals and researchers in AM and AI/ML techniques.
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