Closed‐loop finite‐element modeling of smart structures—An overview

1999 ◽  
Vol 105 (2) ◽  
pp. 1239-1240
Author(s):  
Vasundara V. Varadan ◽  
Young‐hun Lim ◽  
Senthil V. Gopinathan ◽  
Vijay K. Varadan
Keyword(s):  
Finite Element ◽  
Finite Element Modeling ◽  
Closed Loop ◽  
Smart Structures ◽  
Element Modeling

Closed-loop finite element modeling of smart structures: an overview

2001 ◽  
Author(s):  
Vasundara V. Varadan ◽  
Senthil V. Gopinathan ◽  
Woosuk Chang ◽  
Vijay K. Varadan
Keyword(s):  
Finite Element ◽  
Finite Element Modeling ◽  
Closed Loop ◽  
Smart Structures ◽  
Element Modeling

Closed loop finite element modeling of active structural damping in the frequency domain

1997 ◽  
Vol 6 (2) ◽  
pp. 161-168 ◽  
Author(s):  
Young-Hun Lim ◽  
Vasundara V Varadan ◽  
Vijay K Varadan
Keyword(s):  
Finite Element ◽  
Finite Element Modeling ◽  
Frequency Domain ◽  
Closed Loop ◽  
Structural Damping ◽  
Element Modeling

scholarly journals Finite Element Modeling of Thermopiezomagnetic Smart Structures

AIAA Journal ◽  
2002 ◽  
Vol 40 (9) ◽  
pp. 1846-1851 ◽  
Author(s):  
M. Sunar ◽  
Ahmed Z. Al-Garni ◽  
M. H. Ali ◽  
R. Kahraman
Keyword(s):  
Finite Element ◽  
Finite Element Modeling ◽  
Smart Structures ◽  
Element Modeling

Closed-Loop High-Fidelity Simulation Integrating Finite Element Modeling With Feedback Controls in Additive Manufacturing

2020 ◽  
Vol 143 (2) ◽  
Author(s):  
Dan Wang ◽  
Xu Chen
Keyword(s):  
Finite Element ◽  
Additive Manufacturing ◽  
Finite Element Modeling ◽  
Closed Loop ◽  
Agile Manufacturing ◽  
High Fidelity ◽  
Feedback Controls ◽  
Element Modeling ◽  
Melt Pool ◽  
Wide Range

Abstract A high-precision additive manufacturing (AM) process, powder bed fusion (PBF) has enabled unmatched agile manufacturing of a wide range of products from engine components to medical implants. While finite element modeling and closed-loop control have been identified key for predicting and engineering part qualities in PBF, existing results in each realm are developed in opposite computational architectures wildly different in time scale. This paper builds a first-instance closed-loop simulation framework by integrating high-fidelity finite element modeling with feedback controls originally developed for general mechatronics systems. By utilizing the output signals (e.g., melt pool width) retrieved from the finite element model (FEM) to update directly the control signals (e.g., laser power) sent to the model, the proposed closed-loop framework enables testing the limits of advanced controls in PBF and surveying the parameter space fully to generate more predictable part qualities. Along the course of formulating the framework, we verify the FEM by comparing its results with experimental and analytical solutions and then use the FEM to understand the melt-pool evolution induced by the in- and cross-layer thermomechanical interactions. From there, we build a repetitive control (RC) algorithm to attenuate variations of the melt pool width.

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