About this Abstract |
Meeting |
2022 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2022)
|
Symposium
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2022 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2022)
|
Presentation Title |
Intelligent Process Planning and Control of an Aerosol Jet Printing Process |
Author(s) |
Yipu Du, Robert Landers, Yanliang Zhang, Meng Jiang |
On-Site Speaker (Planned) |
Robert Landers |
Abstract Scope |
Aerosol Jet Printing (AJP) is a versatile microscale additive manufacturing process capable of fabricating a wide variety of materials. This process is hindered by variations due to such factors as transport losses, changes in nozzle condition and ink consistency, etc. This variability makes it difficult to plan the process (i.e., properly select the process parameters) and ensure quality deposition. In this paper we will introduce a method based on machine learning to quickly determine process parameters for a given ink composition. The method combines active learning and reinforcement learning algorithms to efficiently estimate process parameters to produce desired part properties. We will also introduce a run-to-run controller that adjusts the ink flow rate to regulate the electrical resistance of fabricated leads. A lead is deposited, its resistance is measured, and ink flow rate is adjusted for the subsequent lead. Experimental studies are conducted to examine the effectiveness of these methods. |
Proceedings Inclusion? |
Definite: Post-meeting proceedings |