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 |
Developing a Universal Additive Manufacturing Parameter Transference Model |
Author(s) |
Kevin Le, Colt Montgomery, William Winter, Robin Pacheco, Kevin Shay, Kevin Lamb, Mike Boice, Dale Cillessen, Maria Strantza, Nicholas Calta, Gabe Guss, Guadalupe Rivero, Tek Ferguson, Cody Lough, Ashley Schmid, Brian Ferguson, Andy Deal |
On-Site Speaker (Planned) |
Kevin Le |
Abstract Scope |
Comparable laser powder bed fusion machines, when parameters and material powder are held consistent, will produce different quality components. To achieve a similar quality component, optimized parameters must be established for each machine resulting in wasted material, lost time, and excess cost. To solve this problem, a model will be developed which allows for transference of existing parameters to another machine thus ensuring the same quality components regardless of machine or vendor and preventing redundant work efforts relating to parameter development and optimization.
To create this model, data will be gathered from multiple additive manufacturing machines across multiple sites. Each machine will produce a plate of single bead weld tracks, eventually resulting in bead cross sectional images. After characterization, the beads will be used to develop a unique representative metric. This metric will be used in a machine learning algorithm to find a relationship between parameters on different machines. |
Proceedings Inclusion? |
Definite: Post-meeting proceedings |