@inbook{3242bb2d623d4a7abb8fad9a33b52211,
title = "Modeling and simulation of advanced manufacturing techniques using MOOSE and MALAMUTE",
abstract = "Advanced manufacturing techniques offer increased geometry complexity, energy and material usage efficiency improvements, and an expanded palette of materials as compared to conventional manufacturing approaches. Advanced manufacturing (AM)-produced parts can experience wide variations in the final microstructure, and these microstructure variations significantly impact the parts{\textquoteright} performance. In this chapter, we present recent code developments within the Multiphysics Object-Oriented Simulation Environment (MOOSE) and in the MOOSE Application Library for Advanced Manufacturing UTilitiEs (MALAMUTE). Here we demonstrate applying these modeling and simulation codes to two advanced manufacturing process types: advanced sintering techniques and laser-based additive manufacturing techniques. The multiphysics and multiscale capabilities of these codes enable the prediction of the microstructure evolution resulting from variations in the advanced manufacturing process parameters.",
keywords = "Advanced manufacturing simulation, Direct-energy deposition, MALAMUTE, MOOSE, Microstructure, Multiphysics simulation, Multiscale simulation, Powder-bed fusion, Sintering",
author = "Pitts, \{Stephanie A.\} and Sudipta Biswas and Dewen Yushu and Lindsay, \{Alexander D.\} and Wen Jiang and Aagesen, \{Larry K.\}",
note = "Publisher Copyright: {\textcopyright} 2024 Elsevier Inc. All rights reserved.",
year = "2024",
month = jan,
day = "1",
doi = "10.1016/B978-0-323-91152-8.00009-0",
language = "English",
isbn = "9780323998185",
series = "Risk-informed Methods and Applications in Nuclear and Energy Engineering: Modeling, Experimentation, and Validation",
publisher = "Elsevier",
pages = "263--286",
booktitle = "Risk-informed Methods and Applications in Nuclear and Energy Engineering",
}