Gregory J. Wagner

Sur la précision des simulations microstructurales 2D pour prédire la formation de champs mécaniques résiduels intergranulaires lors d’interactions rapides laser-métal

Nikhil Mohanan, Alexander F. Chadwick, Arash Samaei, Jérémy Bleyer et autres

The extent to which a three-dimensional extrusion of a two-dimensional microstructure (2DM) can reproduce the thermomechanical response of a fully three-dimensional microstructure (3DM) is investigated. A multi-physics numerical framework coupling computational thermal fluid dynamics (CFD), phase-field (PF) solidification, and thermo-elasto-viscoplastic finite element …

Multiscale coupling of numerical and data-driven models with HASTE: Hybrid algorithm using surrogate temperature evaluation

Joseph P. Leonor, Gregory J. Wagner

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Metal additive manufacturing simulation across length, time, and computing scales

Alex Plotkowski, Matt Rolchigo, Gregory J. Wagner, Samuel Temple Reeve et autres

Metal additive manufacturing (AM) offers a unique opportunity for production of advanced materials and complex geometries. However, variability in microstructure and properties challenges conventional approaches to design, process optimization, qualification, and materials selection. Modeling and simulation can improve understanding of AM processing …

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Unifying machine learning and interpolation theory via interpolating neural networks

Chanwook Park, Sourav Saha, Jiachen Guo, Hantao Zhang et autres

Computational science and engineering are shifting toward data-centric, optimization-based, and self-correcting solvers with artificial intelligence. This transition faces challenges such as low accuracy with sparse data, poor scalability, and high computational cost in complex system design. This work introduces Interpolating Neural Network …

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Advancing Aviation Safety Through Predictive Maintenance: A Machine Learning Approach for Carbon Brake Wear Severity Classification

Patsy Jammal, Olivia J. Pinon Fischer, Dimitri N. Mavris, Gregory J. Wagner

Braking systems are essential to aircraft safety and operational efficiency; however, the variability of carbon brake wear, driven by the intricate interplay of operational and environmental factors, presents challenges for effective maintenance planning. This effort leverages machine learning classifiers to predict wear …

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Efficient part-scale thermal modeling of laser powder bed fusion via a multilevel finite element framework

Seyed Mohammad Elahi, Joseph P. Leonor, Richard Wu, Gregory J. Wagner

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Enhancing Model Generalizability in Aircraft Carbon Brake Wear Prediction: A Comparative Study and Transfer Learning Approach

Patsy Jammal, Olivia J. Pinon Fischer, Dimitri N. Mavris, Gregory J. Wagner

Predictive maintenance in commercial aviation demands highly reliable and robust models, particularly for critical components like carbon brakes. This paper addresses two primary concerns in modeling carbon brake wear for distinct aircraft variants: (1) the choice between developing specialized models for individual …

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Tensor-decomposition-based A Priori Surrogate (TAPS) modeling for ultra large-scale simulations

Jiachen Guo, Gino Domel, Chanwook Park, Hantao Zhang et autres

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A high-throughput physics- and data-driven framework for High-Entropy Alloy development

Shardul Kamat, Victoria Tucker, Michael S. Titus, Gregory J. Wagner

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Predictive Maintenance of Aircraft Braking Systems: A Machine Learning Approach to Clustering Brake Wear Patterns

Patsy Jammal, Olivia J. Pinon Fischer, Dimitri N. Mavris, Gregory J. Wagner

The operational integrity and performance of aircraft braking systems are paramount to commercial aircraft safety and maintenance planning efficiency. Operational integrity refers to the reliability of the braking systems under various conditions, including the ability to withstand high temperatures and resist wear. …

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Advancing Aviation Safety Through Predictive Maintenance: Machine Learning Approach for Carbon Brake Wear Severity Classification

Patsy Jammal, Olivia J. Pinon Fischer, Dimitri N. Mavris, Gregory J. Wagner

us (code pays fourni par la source)

Advancing Aviation Safety Through Predictive Maintenance: Machine Learning Approach for Carbon Brake Wear Severity Classification

Patsy Jammal, Olivia J. Pinon Fischer, Dimitri N. Mavris, Gregory J. Wagner

us (code pays fourni par la source)