About this Abstract |
Meeting |
Additive Manufacturing Benchmarks 2022 (AM-Bench 2022)
|
Symposium
|
Additive Manufacturing Benchmarks 2022 (AM-Bench 2022)
|
Presentation Title |
Predicting Mechanical Properties of Material Extrusion-fabricated Structures with Limited Information |
Author(s) |
Amy M. Peterson, David Kazmer, Austin Colon, Ahmed Adisa |
On-Site Speaker (Planned) |
Amy M. Peterson |
Abstract Scope |
Modeling polymer material extrusion additive manufacturing for prediction of mechanical properties requires substantial training data. This work takes advantage of entanglement theory and molecular dynamics approaches to predict isothermal weld time necessary to achieve bulk properties. Acrylonitrile butadiene styrene (ABS) and polycarbonate (PC) samples were used to validate and refine the modeling approaches and identify transport phenomena that drive weld evolution, motivated by a desire to identify what kinds and how much information is necessary to create an acceptably accurate model. We also performed detailed analysis of the types of fracture that occurred across a range of processing conditions and relate this mechanical behavior to print conditions. |
Proceedings Inclusion? |
Undecided |