TY - JOUR
T1 - Size-dependence of AM Ti–6Al–4V
T2 - Experimental characterization and applications in thin-walled structures simulations
AU - He, Junyan
AU - Kushwaha, Shashank
AU - Mahrous, Mahmoud A.
AU - Abueidda, Diab
AU - Faierson, Eric
AU - Jasiuk, Iwona
N1 - We (I. J.) acknowledge the support of the Army Research Office, United States contract (No. W 911NF-18-2-0067 ) and the National Science Foundation, United States grant ( MOMS-1926353 ). This research is also a part of the Delta research computing project, which is supported by the National Science Foundation, United States (award OCI 2005572 ) and the State of Illinois. We acknowledge the valuable discussion we had with Dr. Jeffrey Lloyd from the U.S. Army Research Laboratory. We also acknowledge the help of Drs. David Ehrhardt and Peter Kurath from the Advanced Materials Testing and Evaluation Laboratory (AMTEL) at the University of Illinois at Urbana-Champaign in testing the specimens.
We (I. J.) acknowledge the support of the Army Research Office, United States contract (No. W 911NF-18-2-0067) and the National Science Foundation, United States grant (MOMS-1926353). This research is also a part of the Delta research computing project, which is supported by the National Science Foundation, United States (award OCI 2005572) and the State of Illinois. We acknowledge the valuable discussion we had with Dr. Jeffrey Lloyd from the U.S. Army Research Laboratory. We also acknowledge the help of Drs. David Ehrhardt and Peter Kurath from the Advanced Materials Testing and Evaluation Laboratory (AMTEL) at the University of Illinois at Urbana-Champaign in testing the specimens.
PY - 2023/6
Y1 - 2023/6
N2 - Previous studies show that the properties of parts manufactured via additive manufacturing, such as selective laser melting, depend on local feature sizes like lattice wall thickness and strut diameter. Although size dependence has been studied extensively, it was not included in constitutive models for numerical simulations. In this work, flat dog-bone tensile specimens of different thicknesses were manufactured and tested under quasi-static conditions to characterize the size-dependent properties experimentally. It was observed that key mechanical properties decrease with specimen thickness. Through curve-fitting to experimental data, this work provides approximate analytical expressions for the material properties values as a function of specimen thickness, furnishing a phenomenological size-dependent constitutive model. The interpolating capability of the model is cross-validated with existing experimental data. Two numerical examples demonstrate the application of the size-dependent material model. The axial crushing of thin-walled lattices at varying wall thicknesses was simulated by the size-dependent material model and one that ignores size effects. Results show that ignoring size effects leads to overestimated peak crushing force and specific energy absorption. The two material models were also compared in the topology optimization of thin-walled structures. Results show that the size-dependent model leads to a more robust optimized design: having higher energy absorption and sustaining less material fracture.
AB - Previous studies show that the properties of parts manufactured via additive manufacturing, such as selective laser melting, depend on local feature sizes like lattice wall thickness and strut diameter. Although size dependence has been studied extensively, it was not included in constitutive models for numerical simulations. In this work, flat dog-bone tensile specimens of different thicknesses were manufactured and tested under quasi-static conditions to characterize the size-dependent properties experimentally. It was observed that key mechanical properties decrease with specimen thickness. Through curve-fitting to experimental data, this work provides approximate analytical expressions for the material properties values as a function of specimen thickness, furnishing a phenomenological size-dependent constitutive model. The interpolating capability of the model is cross-validated with existing experimental data. Two numerical examples demonstrate the application of the size-dependent material model. The axial crushing of thin-walled lattices at varying wall thicknesses was simulated by the size-dependent material model and one that ignores size effects. Results show that ignoring size effects leads to overestimated peak crushing force and specific energy absorption. The two material models were also compared in the topology optimization of thin-walled structures. Results show that the size-dependent model leads to a more robust optimized design: having higher energy absorption and sustaining less material fracture.
KW - Selective laser melting
KW - Size effects
KW - Specific energy absorption
KW - Thin-walled lattice structures
KW - Ti–6Al–4V
KW - Topology optimization
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U2 - 10.1016/j.tws.2023.110722
DO - 10.1016/j.tws.2023.110722
M3 - Article
AN - SCOPUS:85151243274
SN - 0263-8231
VL - 187
JO - Thin-Walled Structures
JF - Thin-Walled Structures
M1 - 110722
ER -