Nicholas Gilhaus, “Prediction of Residual Stresses in Additively Manufactured Materials”
Mentor: William Musinski, Materials Science & Engineering
Poster #38

Most modern technological innovation is contingent upon materials science. The field’s most recent driver of innovation is additively manufactured materials. Additive manufacturing offers cheaper, faster, and easier production and prototyping. However, for safety-critical applications such as healthcare, automotive, and aerospace industries, quality is paramount. Therefore, a comprehensive understanding of the material properties as a result of the additive manufacturing process itself is crucial to the continued development of the technology. Due to the rapid heating and cooling nature of the additive manufacturing process, residual stresses are present upon material solidification. These residual stresses influence the material properties of the product such as strength, ductility, fracture mechanics, fatigue behavior, etc. In lieu of costly experimental analysis on additively manufactured parts, a software model that yields accurate results of experimentally-produced residual stresses would be a crucial cog in the additive manufacturing process. Using computational science to further materials science, this research project by Dr. William Musinski and undergraduate Nick Gilhaus aims to model residual stresses in additively manufactured materials for continued and increased use in safety-critical applications.