Deep-Learned Generators of Porosity Distributions Produced During Metal Additive Manufacturing

11 May 2022

Papers citing "Deep-Learned Generators of Porosity Distributions Produced During Metal Additive Manufacturing"

6 / 6 papers shown

Title
Deep Learning based Optical Image Super-Resolution via Generative Diffusion Models for Layerwise in-situ LPBF Monitoring Francis Ogoke Sumesh Kalambettu Suresh Jesse Adamczyk D. Bolintineanu Anthony Garland Michael J. Heiden A. Farimani 35 0 0 20 Sep 2024
Integrating Multi-Physics Simulations and Machine Learning to Define the Spatter Mechanism and Process Window in Laser Powder Bed Fusion Olabode T. Ajenifujah Francis Ogoke Florian Wirth Jack L. Beuth A. Farimani AI4CE 38 1 0 13 May 2024
Advancing Additive Manufacturing through Deep Learning: A Comprehensive Review of Current Progress and Future Challenges Amirul Islam Saimon Emmanuel Yangue Xiaowei Yue Zhenyu Kong Chenang Liu AI4CE 27 4 0 01 Mar 2024
A Systematic Review of Available Datasets in Additive Manufacturing Xiao Liu Alessandra Mileo Alan F. Smeaton AI4CE 16 0 0 27 Jan 2024
Physics-Informed Machine Learning of Argon Gas-Driven Melt Pool Dynamics Rahul Sharma Y.B. Guo M. Raissi W. Guo PINN AI4CE 45 5 0 23 Jul 2023
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling Jiajun Wu Chengkai Zhang Tianfan Xue Bill Freeman J. Tenenbaum GAN 189 1,941 0 24 Oct 2016