Current challenges and potential directions towards precision microscale additive manufacturing–Part IV: Future perspectives

D Behera, S Chizari, LA Shaw, M Porter… - Precision …, 2021 - Elsevier
Microscale additive manufacturing is one of the fastest growing areas of research within the
additive manufacturing community. However, there are still significant challenges that exist …

Robust higher-order spatial iterative learning control for additive manufacturing systems

Z Afkhami, DJ Hoelzle, K Barton - IEEE Transactions on Control …, 2023 - ieeexplore.ieee.org
In this article, a higher-order spatial iterative learning control (HO-SILC) scheme is
proposed, targeting heightmap tracking for a class of 3-D structures fabricated by repetitive …

Iterative learning spatial height control for layerwise processes

EC Balta, DM Tilbury, K Barton - Automatica, 2024 - Elsevier
Layerwise processes are common in industrial applications and have been well-studied in
the control literature. A layerwise process has repeated layers in a spatial and/or temporal …

Synthesis of model predictive control and iterative learning control for topography regulation in additive manufacturing

Z Afkhami, D Hoelzle, K Barton - IFAC-PapersOnLine, 2022 - Elsevier
This paper presents a spatially derived control solution for improving the performance of a
high-resolution additive manufacturing (AM) process towards the fabrication of repeatable …

Higher-order spatial iterative learning control for additive manufacturing

Z Afkhami, D Hoelzle, K Barton - 2021 60th IEEE Conference …, 2021 - ieeexplore.ieee.org
This paper presents a higher-order spatial iterative learning control (HO-SILC) framework for
heightmap tracking of 3D structures that are fabricated by additive manufacturing (AM) …

Spatial-Terminal Iterative Learning Control for Registration Error Elimination in High-Precision Roll-to-Roll Printing Systems

Z Wang, X ** - International Manufacturing Science …, 2023 - asmedigitalcollection.asme.org
Abstract Roll-to-roll (R2R) printing techniques are promising for high-volume continuous
production of substrate-based electronic products, as opposed to the sheet-to-sheet …

A learn-and-control strategy for jet-based additive manufacturing

U Inyang-Udoh, A Chen… - IEEE/ASME Transactions …, 2022 - ieeexplore.ieee.org
In this article, we develop a predictive geometry control framework for jet-based additive
manufacturing (AM) based on a physics-guided recurrent neural network (RNN) model …

Input Sha** for Control of a High-Resolution Electrohydrodynamic Jet Printing Process

N Farjam, M Wu, A Hawa… - 2023 IEEE Conference on …, 2023 - ieeexplore.ieee.org
Electrohydrodynamic jet (e-jet) printing is a high-resolution, additive manufacturing process
capable of printing micro/nanometer scale patterns for applications in electrical and optical …

Characterization and control of primary natural frequency of FDM ABS prints through printer parameters and STL file manipulation

LW Funke, C Lamison, JB Hylton, MN Opara - The International Journal of …, 2023 - Springer
Fused deposition modeling (FDM) additive manufacturing (AM) printers frequently take
significant trial and error to achieve desired dimensions, which has been fairly well …

Iterative learning control of direct write additive manufacturing using online process monitoring

CJ Urbanski, AG Alleyne - 2024 American Control Conference …, 2024 - ieeexplore.ieee.org
The spatial and dimensional errors that arise during fabrication using extrusion-based
additive manufacturing (AM) methods like direct write printing inhibit manufacturing parts …