Computational Design of Gradient Paths in Additively Manufactured Functionally Graded Materials

[+] Author and Article Information
Tanner Kirk

Design Systems Laboratory, Mechanical Engineering, Texas A&M University, College Station, TX 77843

Edgar Galvan

Quantitative Modeling and Analysis, Sandia National Laboratories, Livermore, CA 94551

Richard Malak

Design Systems Laboratory, Mechanical Engineering, Texas A&M University, College Station, TX 77843

Raymundo Arroyave

Computational Materials Science Laboratory, Materials Science and Engineering, Texas A&M University, College Station, TX 77843

1Corresponding author.

ASME doi:10.1115/1.4040816 History: Received April 01, 2018; Revised July 04, 2018


Additive Manufacturing (AM) has enabled the creation of a near infinite set of Functionally Graded Materials (FGMs). One limitation on the manufacturability and usefulness of these materials is the presence of undesirable phases along the gradient path. For example, such phases may increase brittleness, diminish corrosion resistance, or severely compromise the printability of the part altogether. In the current work, a design methodology is proposed to plan an FGM gradient path for any number of elements that avoids undesirable phases at a range of temperatures. Gradient paths can also be optimized for a cost function. A case study is shown to demonstrate the effectiveness of the methodology in the Fe-Ni-Cr system. Paths were successfully planned from 316L Stainless Steel (316L SS) to pure Cr that either minimize path length or maximize separation from undesirable phases. Examinations on the stochastic variability, parameter dependency, and computational efficiency of the method are also presented. Several avenues of future research are proposed that could improve the manufacturability, utility, and performance of FGMs through gradient path design.

Sandia National Laboratories (SNL)
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