Pages that link to "Item:Q2138688"
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The following pages link to Data-driven prognostic model for temperature field in additive manufacturing based on the high-fidelity thermal-fluid flow simulation (Q2138688):
Displaying 8 items.
- Thermodynamically consistent microstructure prediction of additively manufactured materials (Q267941) (← links)
- Adaptive wavelet compression of large additive manufacturing experimental and simulation datasets (Q670375) (← links)
- Data-driven multi-scale multi-physics models to derive process-structure-property relationships for additive manufacturing (Q1990749) (← links)
- Adaptive hyper reduction for additive manufacturing thermal fluid analysis (Q2020898) (← links)
- Quantification and compensation of thermal distortion in additive manufacturing: a computational statistics approach (Q2022058) (← links)
- An efficient and high-fidelity local multi-mesh finite volume method for heat transfer and fluid flow problems in metal additive manufacturing (Q2678540) (← links)
- Physics-informed machine-learning model of temperature evolution under solid phase processes (Q6159327) (← links)
- Hybrid thermal modeling of additive manufacturing processes using physics-informed neural networks for temperature prediction and parameter identification (Q6164278) (← links)
