Spatial iterative learning control for multi-material 3D-structures

Zahra Afkhami, Christopher Pannier, Leontine Aarnoudse, David Hoelzle, Kira Barton

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

Iterative learning control (ILC) is a powerful technique to regulate repetitive systems. Additive manufacturing falls into this category by nature of its repetitive action in building three-dimensional structures in a layer-by-layer manner. In literature, spatial ILC (SILC) has been used in conjunction with additive processes to regulate single-layer structures with only one class of material. However, SILC has the unexplored potential to regulate AM structures with multiple build materials in a three-dimensional fashion. Estimating the appropriate feedforward signal in these structures can be challenging due to iteration varying initial conditions, system parameters, and surface interaction dynamics in different layers of multi-material structures. In this paper, SILC is used as a recursive control strategy to iteratively construct the feedforward signal to improve part quality of 3D structures that consist of at least two materials in a layer-by-layer manner. The system dynamics are approximated by discrete 2D spatial convolution using kernels that incorporate in-layer and layer-to-layer variations. We leverage the existing SILC models in literature and extend them to account for the iteration varying uncertainties in the plant model to capture a more reliable representation of the multi-material additive process. The feasibility of the proposed diagonal framework was demonstrated using simulation results of an electrohydrodynamic jet printing (e-jet) printing process.

Original languageEnglish
Title of host publicationDynamics systems and control conference, October 8-11, 2019, Utah City, U.S.A.
PublisherAmerican Society of Mechanical Engineers
Number of pages8
Volume1
ISBN (Electronic)9780791859148
DOIs
Publication statusPublished - 1 Jan 2019
EventASME 2019 Dynamic Systems and Control Conference, DSCC 2019 - Park City, United States
Duration: 8 Oct 201911 Oct 2019

Conference

ConferenceASME 2019 Dynamic Systems and Control Conference, DSCC 2019
CountryUnited States
CityPark City
Period8/10/1911/10/19

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Afkhami, Z., Pannier, C., Aarnoudse, L., Hoelzle, D., & Barton, K. (2019). Spatial iterative learning control for multi-material 3D-structures. In Dynamics systems and control conference, October 8-11, 2019, Utah City, U.S.A. (Vol. 1). [v001t10a004] American Society of Mechanical Engineers. https://doi.org/10.1115/DSCC2019-9192