ICME 2023: App.: AM Processing II
Program Organizers: Charles Ward, AFRL/RXM; Heather Murdoch, U.S. Army Research Laboratory
Tuesday 1:20 PM
May 23, 2023
Room: Boca I-III
Location: Caribe Royale
Session Chair: Fatih Sen, Novelis
1:20 PM
Statistical Learning Approaches for Predicting Pore Formation from In-situ Characterization for Additive Manufacturing of SS 316L Using Laser Powder Bed Fusion: Erika Barcelos1; Nathaniel Tomczak1; Jayvic Jimenez1; Sameera Venka1; Kristen Hernandez1; Raymond Wieser1; John Lewandowski1; Laura Bruckman1; Roger French1; 1CWRU
Designing material systems with reproducible desirable properties remains a challenge for the fabrication of metal additive parts. The overall performance of a material can be heavily influenced by both direct and indirect stressors. In this work, spatiotemporal models were leveraged to model the spatial and temporal coherence between deposits of both single and multi-track additively manufactured stainless steel (SS 316L) samples using laser powder bed fusion (LPBF). Initially, interactions and potential additive effects between variables were established using exploratory data analysis. After, statistical modeling was used to generate insights and model the data. Network structural equation modeling (netSEM), p-values, and correlations were employed to perform variable selection followed by modeling using generalized linear models (GLM) and general additive models (GAM). These techniques successfully modeled the data which suggests that predicting pore formation for LPBF deposits is possible using statistical learning approaches, even when a limited number of points are available.
1:40 PM
A Software Approach to Predict Creep Behavior in Time and Temperature Dependent Materials: Abdullah Kose1; Irina Viktorova1; Muhammed Kose1; Garrett Pataky1; Sofya Alekseeva1; Leo Rebholz1; 1Clemson University
In this paper, a previously proposed [1] constitutive equation that describes the behavior of viscoelastic materials is used to predict the behavior of PMMA (polymethyl methacrylate) under creep loading at different stresses and temperatures for varying amounts of time. The three parameters in the constitutive equation, k,α, and γ are found by performing calculations on data from three tensile experiments and two creep experiments on a viscoelastic material. A GUI MATLAB application was written that used excel data from the experiments as input to predict the creep response for PMMA at any load, temperature, and timescale. The results of several predictions are compared against experimental data and good agreement was found.
2:00 PM
Tensile Loading Modelling of Laser-deposited AlCoCrFeNiCu High Entropy Alloy Using Comsol Multiphysics: Modupeola Dada1; Patricia Popoola1; 1Tshwane University of Technology
A CAD solid model can generate near-net form, fully dense metallic objects with moderately complicated geometrical characteristics using Laser Metal Deposition technology. Results show that alloys with high entropy can reach good mechanical properties via additive manufacturing. A fine grain structure will develop because of the localized nature of the laser heating process, leading to a considerable improvement in yield strength without sacrificing ductility. However, in layers deposited by laser melting of alloyed high entropy alloy powders, significant tensile tension may develop; furthermore, high entropy alloys with dominant BCC structures may be too brittle to be examined in tension. This study investigates a straightforward and effective computational model for simulating material properties, such as the stress-strain mechanisms, using COMSOL Multiphysics for laser-deposited materials excessively brittle to be tested in tension. The first principal stresses and longitudinal strain under axial tensile loading conditions were measured using a 3D structural mechanics model.
2:20 PM
Prediction of Solidification Cracking for Additively Manufactured Rene 80 Superalloy by Directed Energy Deposition: Hamedreza Hosseinzadeh1; Lang Yuan1; Luke Mohr2; Lee Kerwin2; Anindya Bhaduri3; Arushi Dhakad3; Chen Shen3; Shenyan Huang3; Changjie Sun3; Alexander L Kitt2; 1University of South Carolina; 2Buffalo Engineering Works; 3General Electric Research
Rene 80 superalloys have susceptibility to solidification cracking when manufactured with direct energy deposition. This research developed a computational framework for mapping cooling rates, thermal gradients, thermal rates, strain, strain rates, and stress components using thermomechanical simulations, microstructure prediction, and solidification crack susceptibility (by analytical RDG criteria). This work provides a practical physics-based method to evaluate the solidification cracking under a wide range of process conditions validated by experiments.
2:40 PM Break