Computational Design of Functionally Graded Materials from Sintered Powders
T Molla, Zhe Liu, Graham Schaffer
Integrating Materials and Manufacturing Innovation | Springer | Published : 2019
A new computational method is presented for the efficient design of alloy systems in functionally graded materials (FGMs), optimized for manufacturability (sintering) as well as performance. The design methodology uses a multi-objective genetic algorithm (GA) integrated with computational thermodynamics and physics-based predictive models to optimize the composition of each alloy in the FGM. Thermodynamic modeling, using the CALPHAD method, is used to establish microstructural constraints and calculate the effective diffusivity in each alloy of the FGM. Physics-based predictive models are used to estimate performance properties. The model is verified by comparing results with data from the l..View full abstract
This work was funded by The University of Melbourne.