Second-Order Defeaturing Estimator of Manufacturing-Induced Porosity on Structural Elasticity
Shiguang Deng, Carl Soderhjelm, Diran Apelian, Krishnan Suresh

TL;DR
This paper introduces a gradient-enhanced estimator for modeling manufacturing-induced porosity effects on structural elasticity, accounting for pore interactions without direct meshing of porous structures.
Contribution
It proposes a second-order shape sensitivity method within a general elastostatic framework that efficiently models pore effects and interactions using reference models.
Findings
Pores significantly affect elastic performance.
Pore interactions are critical when pores are close.
The method avoids meshing issues in porous structure analysis.
Abstract
Manufactured metallic components often contain non-uniformly distributed pores of complex morphologies. Since such porosity defects have significant influence on material behaviors and affect the usage in high-performance applications, it is significant to understand the impact of porosity characteristics on the behaviors of components. In this work, a gradient-enhanced porosity defeaturing estimator, which allows for the modeling of pore geometry and spatial distribution, is proposed within a general elastostatic framework. In this approach, the first order shape sensitivity is implemented to account for the change in elastic quantity of interests with respect to variations of pore sizes and shapes, which is then supplemented by a second order shape sensitivity whose mixed partial derivative quantifies the interactions between pores in proximity. The efficacy of the proposed method…
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Taxonomy
TopicsTopology Optimization in Engineering · Advanced Numerical Analysis Techniques · Composite Material Mechanics
