Finite element simulations and experimental validation of LENS-deposited IN625 yield surface identification under sequential tension/compression–torsion probing using a novel anisotropic UMAT framework
Source abstract
Abstract
Anisotropic yield criteria and kinematic hardening laws have been independently validated for additively manufactured alloys. However, their specific combination has not been implemented in a finite element user subroutine and validated against 360° sequential biaxial probing data for LENS-deposited nickel-base alloys. Present work delivers the first validated implementation of this coupling for LENS-deposited Inconel 625, combining the Szczepiński quadratic yield criterion with Armstrong–Frederick kinematic hardening. The implemented return-mapping algorithm accumulates the plastic multiplier across Newton–Raphson iterations before updating the plastic and equivalent plastic strain state variables. This distinction is significant for the non-radially-symmetric Szczepiński surface where the flow direction rotates at each iteration unlike the fixed radial direction of isotropic return mapping. A two-step iterative boundary-condition correction scheme ensures each probing direction converges within ±1.5° of the experimental stress angle, achieved for 16 of 17 sequential paths. Path P1, the virgin specimen opening probe retains a residual angular deviation of −2.97° due to absent accumulated back-stress at the start of the sequential cycle. The validated UMAT reproduces all 17 directional yield points with a mean absolute angular error of 0.86°, mean absolute axial and shear stress deviations of 11.4 MPa and 12.5 MPa, respectively. Path-level deviations reach a maximum of 32 MPa in axial stress at P10 and 41.4 MPa in shear stress at P5, attributed to angular misalignment between back-stress and probing direction in the compressive–shear and near-pure-torsion sectors, respectively. This establishes the framework as a computational tool for characterising multiaxial yield surface under complex loading.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Additive Manufacturing Materials and Processes · High Temperature Alloys and Creep · Metal Forming Simulation Techniques
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
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