[HTML][HTML] Online distortion simulation using generative machine learning models: A step toward digital twin of metallic additive manufacturing
In the era of Industry 4.0 and smart manufacturing, Wire Arc Additive Manufacturing (WAAM)
stands at the forefront, driving a paradigm shift towards automated, digitalized production …
stands at the forefront, driving a paradigm shift towards automated, digitalized production …
A FEM-guided data-driven machine learning model for residual stress characterization in ultrasonic surface rolling of lightweight alloys
R Pradhan, F Altalbawy, AR Khan… - Applied Physics A, 2024 - Springer
This work proposes the development of a Bayesian-regularized machine learning (ML)
model tailored for predicting residual stresses in compressive and tensile modes during …
model tailored for predicting residual stresses in compressive and tensile modes during …
Investigation of residual stresses of multi-layer multi-track components built by directed energy deposition: experimental, numerical, and time-series machine-learning …
SE Mirazimzadeh, B Mohajernia, S Pazireh… - … International Journal of …, 2024 - Springer
In the process of manufacturing various components using direct energy deposition (DED)
with multiple layers and tracks, the accumulation of heat can result in high residual tensile …
with multiple layers and tracks, the accumulation of heat can result in high residual tensile …
[HTML][HTML] Enhancing bending strength in continuous drive friction welding of PEEK polymer cylinders through the innovative progressively increased welding area …
CC Kuo, HX Liang, SH Huang, A Farooqui… - Journal of Advanced …, 2024 - Elsevier
The continuous drive friction welding (CDFW) stands out for its low energy consumption
within the welding realm. Polyetheretherketone (PEEK) represents a high-performance …
within the welding realm. Polyetheretherketone (PEEK) represents a high-performance …
[HTML][HTML] Application of Linear Mixed-Effects Model, Principal Component Analysis, and Clustering to Direct Energy Deposition Fabricated Parts Using FEM Simulation …
The purpose of this study is to investigate the effects of toolpath patterns, geometry types,
and layering effects on the mechanical properties of parts manufactured by direct energy …
and layering effects on the mechanical properties of parts manufactured by direct energy …
Thermo-mechanical analysis of complex geometries manufactured by directed energy deposition processes using machine learning approaches
SE Mirazimzadeh - 2023 - search.proquest.com
This dissertation explores additive manufacturing (AM) processes, specifically directed
energy deposition (DED), and investigates the prediction of mechanical and physical …
energy deposition (DED), and investigates the prediction of mechanical and physical …