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Open access Sep 2026

Grey box modeling to predict tensile properties in laser powder bed fusion

Additive Manufacturing is an upcoming technology to produce metal structures in industry as complex near net-shaped structures can be built. One commonly used method is Laser Powder Bed Fusion (PBF-LB), that uses lasers to melt metal powder layer by layer. Alongside advantages that come with this technology, the va...

Florian Funcke, Tobias Forster, Marinus Kolbinger et al. · 0 citations
Aug 2026

Machine learning-based optimization of FFF process parameters for enhanced mechanical properties of 3D-printed PEEK in Z -direction

Mechanical anisotropy in Z-direction printed polyether ether ketone (PEEK) components fabricated by fused filament fabrication (FFF) remains a critical limitation for load-bearing applications. Traditional response surface methodology (RSM) assumes polynomial relationships that inadequately capture the nonlineariti...

A. El Magri, H. Vanaei, Zakariae Bouchkara et al. · 0 citations
#federated learning Review Open access Aug 2026

Machine Learning Integration in Additive Manufacturing: From Process Optimization to Biomedical Implant Applications

The findings conclude that transitioning from ‘black-box’ models to explainable AI represents the definitive path forward for meeting FDA/CE regulatory standards in clinical validation.

V. Harikrishnan, Sathiyamoorthy Margabandu · 0 citations
Open access Sep 2026

Enhancing bending load prediction of CaCO₃-filled polypropylene composites via data augmentation and ensemble machine learning

Predicting the mechanical properties of calcium carbonate (CaCO₃)-filled polypropylene (PP) composites is crucial for their industrial applications. However, conventional experiments are costly and time-consuming, resulting in limited data and challenges for accurate modeling under small-sample conditions. This stu...

Si-Ning Pan, Kai-Yuan Zhan, Shi-Jun Luo et al. · 0 citations

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