Pages that link to "Item:Q2237791"
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The following pages link to Uncertainty quantification of microstructure variability and mechanical behavior of additively manufactured lattice structures (Q2237791):
Displaying 15 items.
- Characterization of metal additive manufacturing surfaces using synchrotron X-ray CT and micromechanical modeling (Q1990755) (← links)
- Hybrid spatial uncertainty analysis for the estimation of imprecise failure probabilities in laser sintered PA-12 parts (Q2003909) (← links)
- Modeling strength and failure variability due to porosity in additively manufactured metals (Q2020756) (← links)
- A generalized Bayesian regularization network approach on characterization of geometric defects in lattice structures for topology optimization in preliminary design of 3D printing (Q2133901) (← links)
- An image-based multi-level hp FCM for predicting elastoplastic behavior of imperfect lattice structure by SLM (Q2150262) (← links)
- Polymorphic uncertainty quantification for engineering structures via a hyperplane modelling technique (Q2160447) (← links)
- Stochastic modeling of geometrical uncertainties on complex domains, with application to additive manufacturing and brain interface geometries (Q2237736) (← links)
- Stochastic modeling and identification of material parameters on structures produced by additive manufacturing (Q2246396) (← links)
- Analytical relationships for the mechanical properties of additively manufactured porous biomaterials based on octahedral unit cells (Q2281899) (← 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)
- Analysis of mechanical error in a fused deposition process using a stochastic approach (Q5438687) (← links)
- Image‐based isogeometric twins of lattices with virtual image correlation for varying cross‐section beams (Q6062831) (← links)
- A multi-physics material point method for thermo-fluid-solid coupling problems in metal additive manufacturing processes (Q6084429) (← links)
- The \textit{a posteriori} finite element method (APFEM), a framework for efficient parametric study and Bayesian inferences (Q6097616) (← links)
- A novel smoothed particle hydrodynamics method for multi-physics simulation of laser powder bed fusion (Q6661925) (← links)