Skip to main content
SpringerLink
Log in

Control of Additive Manufacturing

  • Living reference work entry
  • First Online:
Book cover Encyclopedia of Systems and Control

  • 270 Accesses

Abstract

Control of additive manufacturing (AM) processes involves delivery of material and energy to precise locations at prescribed times during the manufacturing process. While each process is distinct and thus the challenges associated with designing control algorithms are unique, motion control and process control are the two primary objectives in all AM processes. Standard motion control strategies are used to position nozzles, motion stages, and steering mirrors. Model-free feedback and feedforward design strategies such as PID and iterative learning control are often used for process control of low-level process variables. On the other hand, geometry and part-level control strategies are designed through physics-based in-layer and layer-to-layer models built on momentum, mass, and/or energy balance equations.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Institutional subscriptions

Notes

  1. 1.

    In some configurations, the nozzle is held stationary while the substrate is moved by motion stages.

Bibliography

  • ASTM International (2012) Standard terminology for additive manufacturing technologies. Technical Report F2792-12a

    Google Scholar 

  • Cohen DL, Lipson H (2010) Geometric feedback control of discrete-deposition SFF systems. Rapid Prototyp J 16(5):377–393

    Article  Google Scholar 

  • Craeghs T, Bechmann F, Berumen S, Kruth J-P (2010) Feedback control of layerwise laser melting using optical sensors. Phys Procedia 5:505–514; Laser assisted net shape engineering 6, Proceedings of the LANE 2010, Part 2. [Online]. Available: http://www.sciencedirect.com/science/article/pii/S1875389210005043

  • Doumanidis C, Skordeli E (2000) Distributed-parameter modeling for geometry control of manufacturing processes with material deposition. J Dyn Syst Meas Control 122(1):71–77

    Article  Google Scholar 

  • Guo Y, Peters J, Oomen T, Mishra S (2018) Control-oriented models for ink-jet 3D printing. Mechatronics 56:211–219. [Online]. Available: http://www.science direct.com/science/article/pii/S0957415818300618

  • Hoelzle DJ, Barton KL (2016) On spatial iterative learning control via 2-D convolution: stability analysis and computational efficiency. IEEE Trans Control Syst Technol 24(4):1504–1512

    Article  Google Scholar 

  • Kwon KS, Kim W (2007) A waveform design method for high-speed inkjet printing based on self-sensing measurement. Sensors Actuators A Phys 140(1):75–83

    Article  MathSciNet  Google Scholar 

  • Lu L, Zheng J, Mishra S (2015) A layer-to-layer model and feedback control of ink-jet 3-D printing. IEEE/ASME Trans Mechatron 20(3):1056–1068

    Article  Google Scholar 

  • Rawlings JB, Mayne DQ (2012) Model predictive control: theory and design. Nob Hill Publishing, Madison

    Google Scholar 

  • Sammons PM, Bristow DA, Landers RG (2018) Two-dimensional modeling and system identification of the laser metal deposition process. J Dyn Syst Meas Control 141(2):021012 (10 pages)

    Article  Google Scholar 

  • Sammons PM, Gegel ML, Bristow DA, Landers RG (2019) Repetitive process control of additive manufacturing with application to laser metal deposition. IEEE Trans Control Syst Technol 27(2):566–575

    Article  Google Scholar 

  • Wang Q, Li J, Gouge PMM, Nassar AR, Reutzel E (2016) Physics-based multivariable modeling and feedback linearization control of melt-pool geometry and temperature in directed energy deposition. J Manuf Sci Eng 139(2):021013(12 pages)

    Article  Google Scholar 

  • Wassink MG, Bosch N, Bosgra O, Koekebakker S (2005) Enabling higher jet frequencies for an inkjet printhead using iterative learning control. In: 2005 IEEE conference on control applications (CCA). IEEE, pp 791–796

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Mechanical, Aerospace, and Nuclear Engineering, Rensselaer Polytechnic Institute, Troy, NY, USA

    Sandipan Mishra

Authors
  1. Sandipan Mishra
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Sandipan Mishra .

Editor information

Editors and Affiliations

  1. Electrical and Computer Engineering, Boston University, Boston, MA, USA

    John Baillieul

  2. Automation and Control Solutions, Honeywell, Golden Valley, MN, USA

    Tariq Samad

Section Editor information

  1. Mechanical Engineering Department, University of Michigan, Ann Arbor, Michigan, USA

    Dawn Tilbury

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer-Verlag London Ltd., part of Springer Nature

About this entry

Check for updates. Verify currency and authenticity via CrossMark

Cite this entry

Mishra, S. (2020). Control of Additive Manufacturing. In: Baillieul, J., Samad, T. (eds) Encyclopedia of Systems and Control. Springer, London. https://doi.org/10.1007/978-1-4471-5102-9_100146-1

Download citation

  • DOI: https://doi.org/10.1007/978-1-4471-5102-9_100146-1

  • Published:

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-5102-9

  • Online ISBN: 978-1-4471-5102-9

  • eBook Packages: Springer Reference EngineeringReference Module Computer Science and Engineering

Publish with us

Policies and ethics

Search

Navigation