A Framework for Closed-Loop Optimization of an Automated Mechanical Serial-Sectioning System via Run-to-Run Control as Applied to a Robo-Met.3D

Gallegos-Patterson, D.; Ortiz, K.; Danielson, C.; Madison, J. D.; Polonsky, A. T.

doi:10.1007/s11837-022-05372-3

A Framework for Closed-Loop Optimization of an Automated Mechanical Serial-Sectioning System via Run-to-Run Control as Applied to a Robo-Met.3D

Journal Article · Wed Jun 22 00:00:00 EDT 2022 · JOM. Journal of the Minerals, Metals & Materials Society

DOI:https://doi.org/10.1007/s11837-022-05372-3· OSTI ID:1877128

Gallegos-Patterson, D. ^[1]; Ortiz, K. ^[2]; Danielson, C. ^[2]; Madison, J. D. ^[3]; Polonsky, A. T. ^[4]

Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Univ. of New Mexico, Albuquerque, NM (United States)
Univ. of New Mexico, Albuquerque, NM (United States)
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); National Science Foundation (NSF), Alexandria, VA (United States)
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

Optimization of automated data collection is gaining increased interest for the purposes of enabling closed-loop self-correcting systems that inherently maximize operational efficiencies and reduce waste. Many data collection systems have several variables which influence data accuracy or consistency and which can require frequent user interaction to be monitored and maintained. Operating upon a Robo-MET.3D™ automated mechanical serial-sectioning system, a run-to-run control algorithm has been developed to accelerate data collection and reduce data inconsistency. Here, using historical data amassed over a decade of experiments, a linear regression model of the deterministic system dynamics is created and used to employ a run-to-run control algorithm that optimizes selected system inputs to reduce operator intervention and increase efficacy while reducing variance of system output.

View Accepted Manuscript (DOE)

Research Organization:: Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)

Sponsoring Organization:: USDOE National Nuclear Security Administration (NNSA); National Science Foundation (NSF)

Grant/Contract Number:: NA0003525

OSTI ID:: 1877128

Report Number(s):: SAND2022-8145J; 707513

Journal Information:: JOM. Journal of the Minerals, Metals & Materials Society, Journal Name: JOM. Journal of the Minerals, Metals & Materials Society Journal Issue: 8 Vol. 74; ISSN 1047-4838

Publisher:: SpringerCopyright Statement

Country of Publication:: United States

Language:: English

References (20)

A New Femtosecond Laser-Based Tomography Technique for Multiphase Materials Echlin, McLean P.; Husseini, Naji S.; Nees, John A. Advanced Materials, Vol. 23, Issue 20 https://doi.org/10.1002/adma.201003600	journal	February 2011
The 3-D analysis of discontinuously reinforced aluminum composite microstructures Spowart, Jonathan E. JOM, Vol. 58, Issue 12 https://doi.org/10.1007/BF02748492	journal	December 2006
Automated serial sectioning methods for rapid collection of 3-D microstructure data Uchic, Michael D.; Groeber, Michael A.; Rollett, Anthony D. JOM, Vol. 63, Issue 3 https://doi.org/10.1007/s11837-011-0041-2	journal	March 2011
Acquisition of Real-Time Operation Analytics for an Automated Serial Sectioning System Madison, J. D.; Underwood, O. D.; Poulter, G. A. Integrating Materials and Manufacturing Innovation, Vol. 6, Issue 2 https://doi.org/10.1007/s40192-017-0091-6	journal	March 2017
Titanium prior-beta grain volume distribution by quantitative serial sectioning techniques Hull, D. A.; McCammond, D.; Hoeppner, D. W. Materials Characterization, Vol. 26, Issue 2 https://doi.org/10.1016/1044-5803(91)90067-E	journal	March 1991
Scanning electron microscopy: an introduction Vernon-Parry, K. D. III-Vs Review, Vol. 13, Issue 4 https://doi.org/10.1016/S0961-1290(00)80006-X	journal	July 2000
Serial sectioning in the SEM for three dimensional materials science Echlin, McLean P.; Burnett, Timothy L.; Polonsky, Andrew T. Current Opinion in Solid State and Materials Science, Vol. 24, Issue 2 https://doi.org/10.1016/j.cossms.2020.100817	journal	April 2020
Characterization of Microstructure in Additively Manufactured 316L using Automated Serial Sectioning Rowenhorst, David J.; Nguyen, Lily; Murphy-Leonard, Aeriel D. Current Opinion in Solid State and Materials Science, Vol. 24, Issue 3 https://doi.org/10.1016/j.cossms.2020.100819	journal	June 2020
Survey on iterative learning control, repetitive control, and run-to-run control Wang, Youqing; Gao, Furong; Doyle, Francis J. Journal of Process Control, Vol. 19, Issue 10 https://doi.org/10.1016/j.jprocont.2009.09.006	journal	December 2009
Autonomous experimentation systems for materials development: A community perspective Stach, Eric; DeCost, Brian; Kusne, A. Gilad Matter, Vol. 4, Issue 9 https://doi.org/10.1016/j.matt.2021.06.036	journal	September 2021
Non-destructive analysis of materials by neutron resonance transmission Noguere, G.; Cserpak, F.; Ingelbrecht, C. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, Vol. 575, Issue 3 https://doi.org/10.1016/j.nima.2007.02.085	journal	June 2007
Uncertainty Prediction for Machine Learning Models of Material Properties Tavazza, Francesca; DeCost, Brian; Choudhary, Kamal ACS Omega, Vol. 6, Issue 48 https://doi.org/10.1021/acsomega.1c03752	journal	November 2021
Quantitative serial sectioning analysis Alkemper, J.; Voorhees, P. W. Journal of Microscopy, Vol. 201, Issue 3 https://doi.org/10.1046/j.1365-2818.2001.00832.x	journal	March 2001
A new TriBeam system for three-dimensional multimodal materials analysis Echlin, McLean P.; Mottura, Alessandro; Torbet, Christopher J. Review of Scientific Instruments, Vol. 83, Issue 2 https://doi.org/10.1063/1.3680111	journal	February 2012
An adaptive run-to-run optimizing controller for linear and nonlinear semiconductor processes Del Castillo, E. IEEE Transactions on Semiconductor Manufacturing, Vol. 11, Issue 2 https://doi.org/10.1109/66.670178	journal	May 1998
A probabilistic approach to run-to-run control Hamby, E. S.; Kabamba, P. T.; Khargonekar, P. P. IEEE Transactions on Semiconductor Manufacturing, Vol. 11, Issue 4 https://doi.org/10.1109/66.728563	journal	January 1998
Reduction of Depth Variation in an Si Etching Process by Applying an Optimized Run-to-Run Control System Miwa, K.; Inokuchi, T.; Takahashi, T. IEEE Transactions on Semiconductor Manufacturing, Vol. 18, Issue 4 https://doi.org/10.1109/TSM.2005.858473	journal	November 2005
Development of an Ion and Electron Dual Focused Beam Apparatus for Three-Dimensional Microanalysis Sakamoto, Tetsuo; Cheng, Zhaohui; Takahashi, Masanori Japanese Journal of Applied Physics, Vol. 37, Issue Part 1, No. 4A https://doi.org/10.1143/JJAP.37.2051	journal	April 1998
Combining Serial Sectioning, EBSD Analysis, and Image-Based Finite Element Modeling Spanos, G.; Rowenhorst, D. J.; Lewis, A. C. MRS Bulletin, Vol. 33, Issue 6 https://doi.org/10.1557/mrs2008.124	journal	June 2008
RUN-TO-RUN CONTROL OF MEMBRANE FILTRATION IN WASTEWATER TREATMENT - AN EXPERIMENTAL STUDY 1 1The financial support by the DFG (German Research Foundation) in the project “Optimization-based process control of chemical processes” and the excellent cooperation with KOCH Membrane Systems GmbH are gratefully acknowledged. Busch, Jan; Marquardt, Wolfgang IFAC Proceedings Volumes, Vol. 40, Issue 5 https://doi.org/10.3182/20070606-3-MX-2915.00080	journal	January 2007

Similar Records

Robust Data-Driven Predictive Run-to-Run Control for Automated Serial Sectioning

Journal Article · Sun Dec 08 23:00:00 EST 2024 · IEEE Control Systems Letters · OSTI ID:2498463

Three-dimensional (3D) analysis of white etching bands (WEBs) in AISI M50 bearing steel using automated serial sectioning

Journal Article · Sun Apr 15 00:00:00 EDT 2018 · Materials Characterization · OSTI ID:22832962

Robo-AO M-dwarf Multiplicity Survey: Catalog

Journal Article · Wed Apr 01 00:00:00 EDT 2020 · The Astronomical Journal (Online) · OSTI ID:23013149

Related Subjects

42 ENGINEERING
autonomous data collection
mechanical serial-sectioning
run-to-run control

A Framework for Closed-Loop Optimization of an Automated Mechanical Serial-Sectioning System via Run-to-Run Control as Applied to a Robo-Met.3D

Citation Formats

References (20)

Similar Records

Related Subjects