Eventos Anais de eventos
COBEM 2023
27th International Congress of Mechanical Engineering
Laser Directed Energy Deposition Process Optimization Parameters for AISI 410L Single Layers
Submission Author:
Jurandir Sousa , PA
Co-Authors:
Jurandir Sousa, Milton Pereira, Henrique Santos Ferreira, Anselmo Thiesen Junior, Juliane Ribeiro da Cruz Alves
Presenter: Jurandir Sousa
doi://10.26678/ABCM.COBEM2023.COB2023-0684
Abstract
This work proposes a systematic method to find optimized laser directed energy deposition (L-DED) parameters based on single beads and single layers design of experiments (DoE) for AISI 410L stainless steel. As a differential, the method uses regression of data to map single layer features, and desirability factors to find an optimized parameter set based on the selected acceptance criteria. In the single beads stage, full factorial DoE is performed to reach stable process windows considering powder feed rate, laser power, and travel speed. Dilution, wettability angle, and efficiency were evaluated. The average width of single beads within the stable process window is used as a reference for the hatch spacing estimations. Then single layers were deposited with different processing parameters and the average height, dilution, waviness, layer slope, and efficiency were measured. An algorithm using regression analysis and desirability functions was employed to model these data and find L-DED parameters that best fit the user's acceptance criteria. A verification single layer was deposited using the L-DED parameters found by the algorithm to assess the model’s prediction efficacy. Results showed that single layer’s features found in both theoretical prediction and experimental verification exhibited very similar responses.
Keywords
LASER Cladding, Prediction algorithm, Stable set of parameters, Refined microstructure, Mechanical Properties
