About this Abstract |
Meeting |
2022 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2022)
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Symposium
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2022 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2022)
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Presentation Title |
Understanding Correlations between Processing Parameters and Part Geometry in Robotic Reactive Extrusion Additive Manufacturing (REAM) |
Author(s) |
Michael Fogg, Robert Pavlovic, Pratik Koirala, Mehran Tehrani, Carolyn Seepersad |
On-Site Speaker (Planned) |
Michael Fogg |
Abstract Scope |
Reactive extrusion additive manufacturing (REAM) is an AM method in which a liquid thermoset feedstock is deposited and cured in situ by mixing it with a catalyst as it is extruded, initiating an exothermic curing reaction. The robotic REAM system investigated here couples this extrusion system to a six-degree-of-freedom robotic arm for actuation and utilizes a path-planning software that converts g-codes into robotic trajectories. The REAM process has many advantages, such as fabricating parts with isotropic material properties, initiating curing without external energy input, and utilizing high extrusion rates, but curing kinetics, thermal gradients, deposition time, feed and extrusion rates can affect the accuracy and resolution of the deposition. This work focuses on understanding these variables and their effects, so the system can be tuned, improving part accuracy and repeatability. Ultimately, real-time data could be used to adjust these parameters during the printing process to mitigate defects as they occur. |
Proceedings Inclusion? |
Definite: Post-meeting proceedings |