Electronic Thesis/Dissertation


Numerical Framework for Selective Laser Melting Processing of Thermoelectric Materials Open Access

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This work presents a numerical framework for predicting selective laser melting processing of thermoelectric materials. The developed framework combines the steady and transient temperature field predictions of the analytical Eagar-Tsai model and a more detailed finite element model, respectively, to establish a fundamental understanding of the process-temperature field relationship, achieve a fast process parameter space exploration and quantify process-affecting temperature field characteristics. To explore the manufacturing feasibility of thermoelectric materials with selective laser melting, a case study of bismuth telluride processing is presented. The reliability of predicted temperature fields and their associated melt pool dimensions is assessed, for given sets of processing parameters. The process parameter space is sampled with the Eagar-Tsai model to obtain the predicted melt pool dimensions. Then, three processing scenarios are sampled with the more computational demanding finite element model, to obtain the process thermal history. The melt pool evolution during processing is studied. Spatial and temporal temperature gradients are quantified and their contribution to qualities of manufactured parts is discussed. Results from both models are compared to highlight the importance of neglected physics. Future steps are proposed to increase the computational accuracy of the presented framework and further study its effectiveness with experimental trials.

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