About & Skills

Working across materials, simulation, and computational engineering.

I am pursuing a master's degree in Materials Engineering at Wuhan University of Technology, focusing on process optimization for ultra-large ring rolling.

Portrait of Yaodong Liu
Yaodong Liu · Materials Engineering

Professional narrative

Engineering problems between domains are where I do my best work.

My work combines materials processing, thermo-mechanical finite-element analysis, simulation automation, and data-driven modeling.

I am most interested in translating material behavior into numerical models, turning high-fidelity simulations into reliable datasets, and returning optimization results to physics-based verification.

Capability matrix

Capability → applied task → evidence.

DomainApplied capabilityEvidence
Materials ProcessingMetal forming, hot-deformation behavior, process–response reasoningGrowth path, force–temperature trade-off, constitutive assumptions
Abaqus / CAEExplicit coupled temperature–displacement analysis, contact, mesh, fieldsFE setup, histories, field plots, industrial comparison
FortranAbaqus user subroutines and time-dependent process controlVerified process-control role within the automated FE workflow
MATLABSchedule generation, interpolation, control-table constructionV1–V8 generator and exported control file
PythonBatch workflow, extraction, cleaning, features, CV, optimizationCase pipeline, OOF outputs, Pareto and rerun reports
Machine LearningResponse-specific surrogate modeling and repeated OOF evaluationModel comparison, ablation, parity plots
OptimizationSupport-aware candidate construction and Pareto filteringCandidate cloud, A–D selection, FE verification

How I work

Traceability before spectacle.

Start from the engineering constraint, not the algorithm.

Keep inputs, outputs, and derived features traceable by case.

Use data-driven models to screen expensive design spaces, not replace physics.

Verify promising candidates at the highest practical fidelity.

See the concise browser résumé and project proof.