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.
Notes
- 1.
In some configurations, the nozzle is held stationary while the substrate is moved by motion stages.
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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
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DOI: https://doi.org/10.1007/978-1-4471-5102-9_100146-1
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