Patcharapit Promoppatum, PhD Candidate, Carnegie Mellon University
Shi-Chune Yao, PhD – Professor, Carnegie Mellon University
A processing window is a convenient tool in selecting the printing parameters as it provides a quick and convenient evaluation of the printing outcome. However, most of the processing windows are experimental-based, in which the construction process is laborious and time-consuming. The present study combines numerical modeling along with physical criteria and analytical equations to establish the numerical-based processing window. The proposed window indicates the desirable printing region, which could avoid the printing defects including the incomplete melting, over melting, and balling effect. Samples are made to confirm the numerical predictions and show that the favorable part’s characteristics could be obtained if the undesirable work regions are avoided. Energy deposition density, on many occasions, is found to be a very useful factor enabling the simultaneous consideration of multiple parameters to determine.
- define the possible defects in the additive manufacturing products
- understand how to use the numerical model to predict the defect generation
- understand how to incorporate the numerical model to construct the processing window
Carnegie Mellon University
Mr. Patcharapit Promoppatum is a Ph.D. candidate in Mechanical Engineering fro