Numerical Simulation and Prediction of Dilution During Laser Deposition
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by
Zhiqiang Fan,
Anand Jambunathan,
Todd E. Sparks,
Jianzhong Ruan,
Yu Yang,
Yaxin Bao,
Frank Liou,
Austin, The University Of Texas At,
Austin, The University Of Texas At
2020
Abstract
The laser additive manufacturing technique of laser deposition allows quick fabrication of fully-dense metallic components directly from Computer Aided Design (CAD) solid models. The applications of laser deposition include rapid prototyping, rapid tooling and part refurbishment. The development of an accurate predictive model for laser deposition is extremely complicated due to the multitude of process parameters and materials properties involved. In this work, a heat transfer and fluid flow model is developed. The model is used to predict dilution under varying process parameters for deposits of Ti-6Al-4V. Experimental validation of the predicted dilution is presented. The laser used is a direct diode laser.
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Date 2020-03-02
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