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Conference

Uncertainty Quantification in the Directed Energy Deposition Process Using Deep Learning-Based Probabilistic Approach

Subjects: deep learning; directed energy deposition process; melting pool

  • Source: urn:isbn:978-3-03-571759-4Achievements and Trends in Material Forming- Peer-reviewed extended papers selected from the 25th International Conference on Material Forming, ESAFORM 2022 (2022); The

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Academic Journal

A modified forcing approach in the Rothman–Keller method for simulations of flow phenomena at low capillary numbers

Subjects: Applied Mathematics; Computer Science Applications; Mechanical Engineering

  • Source: International Journal for Numerical Methods in Fluids ; ISSN 0271-2091 1097-0363

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Academic Journal

Assessment of implicit adaptive mesh‐free CFD modelling

Subjects: Applied Mathematics; Computer Science Applications; Mechanical Engineering

  • Source: International Journal for Numerical Methods in Fluids ; volume 96, issue 5, page 670-700 ; ISSN 0271-2091 1097-0363

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