Qi Zhang

ORCID: 0000-0003-0396-2638
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About
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Research Areas
  • High-Temperature Coating Behaviors
  • High Entropy Alloys Studies
  • Additive Manufacturing Materials and Processes
  • Structural Integrity and Reliability Analysis
  • Complex Network Analysis Techniques
  • Metal and Thin Film Mechanics
  • Offshore Engineering and Technologies
  • Engineering Technology and Methodologies
  • Probabilistic and Robust Engineering Design
  • Marine and Offshore Engineering Studies
  • Data Management and Algorithms
  • Data Mining Algorithms and Applications
  • Laser and Thermal Forming Techniques
  • Numerical methods in engineering
  • Intermetallics and Advanced Alloy Properties
  • Advanced Materials Characterization Techniques
  • Induction Heating and Inverter Technology
  • Data Visualization and Analytics
  • Engineering Diagnostics and Reliability
  • Nonlocal and gradient elasticity in micro/nano structures
  • Ship Hydrodynamics and Maneuverability
  • Composite Structure Analysis and Optimization
  • Advanced Clustering Algorithms Research
  • Shape Memory Alloy Transformations
  • Hydrogen embrittlement and corrosion behaviors in metals

Harbin Engineering University
2012-2025

Saint Petersburg State Electrotechnical University
2024

10.1016/j.cma.2021.114074 article EN Computer Methods in Applied Mechanics and Engineering 2021-08-13

The introduction of solid lubrications is an effective way to expand the application prospects high-entropy alloys (HEAs) in frictional components operating under extreme environments. In this work, effects indium on microstructure evolution and performance CrMo0.1Ni0.5TiV HEA coatings were investigated. Experimentally, addition BCC NiTi2-Laves phases, Ti2Ni2In phases formed situ with element. exhibited preferable wear resistance, among them In0.4 coating showed lowest friction coefficient...

10.2139/ssrn.5089676 preprint EN 2025-01-01

Ship collision is a highly hazardous accident with potentially serious consequences. Thus, evaluating the ship risk quantitative analysis of damage, which characterised by uncertainties, necessary. Monte Carlo simulation (MCS) flexible and efficient method for this purpose. However, large computing resources are required MCS-based assessment, especially when numerous random variables involved. In addition, damage models complicated usually resolved finite element (FEM), computationally...

10.1080/17445302.2016.1258759 article EN Ships and Offshore Structures 2017-03-13

The article describes the development of a model that generalizes integral and time-distributed parameters induction heating for forging steel rods using neural networks. Ways to improve prediction by normalizing input output are considered.

10.1109/elcon61730.2024.10468495 article EN 2024-01-29

10.1007/s11432-012-4627-2 article EN Science China Information Sciences 2012-08-16

Discusses the peculiarities of creating metamodels for multi-physics nonlinear processes occurring during induction heating. As an example, development a metamodel describing process heating when forging cylindrical billets made 45 steel with diameters ranging from 80 to 200 mm under constant specific power mode is presented. Four stages are considered. In first stage, using numerical one-dimensional conjugate electrothermal model, database was created in which input parameters defining...

10.32603/2071-8985-2024-17-7-83-96 article EN LETI Transactions on Electrical Engineering & Computer Science 2024-01-01

Dent is a common type of defects for deep-sea pipeline. For the pipelines, high hydrostatic pressure and internal are main loads. Once pipelines bend due to complex subsea conditions, compression strain capacity may be exceeded. It important make research into local buckling failure predict compressive accurately. The finite element model pipeline with dent established. under bending moment investigate calculated. effects different parameters on analyzed. results show that depth, external...

10.2139/ssrn.4379646 article EN 2023-01-01

In this work, the effect of in-situ TiC reinforcing phase and Al/Si elements on corrosion resistance passivation behavior Al0.1CrNbSi0.1TaTiV RHEA coatings was investigated. The 1.0 wt % C coating exhibited best with a current density 1.92×10-8 A/cm2 passive region 1.22 V. Mott–Schottky analysis revealed that more excellent corrosion-resistance wt% attributed to lower point-defect density. film dominated by Al2O3-SiO2-TaOx, muti-oxide crystalline structure thickness ~ 11.52 nm. addition,...

10.2139/ssrn.4490416 preprint EN 2023-01-01

The breakthrough of the strength-ductility trade-off refractory high entropy alloys (RHEAs) has become an urgent problem for their design and preparation. In this work, we propose a strategy to enhance mechanical properties RHEAs by introducing extremely stable strength boride combined with ductile phase. Experimentally, LaB6/NbNiTaTi mainly consist BCC phase, in-situ TaB phase NiTi/IM eutectic high-density (110) nanotwins inside presents needle-like morphology long side axis parallel [001]...

10.2139/ssrn.4537034 preprint EN 2023-01-01

In this work, the effect of in-situ TiC reinforcing phase on passivation behavior Al0.1CrNbSi0.1TaTiV RHEA coatings was investigated. The 1.0 wt % C coating exhibited best corrosion resistance with a current density 1.92×10-8 A/cm2 and passive region 1.22 V. Mott–Schottky analysis revealed that more excellent corrosion-resistance wt% attributed to lower point-defect density. film dominated by muti-oxide crystalline structure thickness ~ 11.52 nm. addition, grain boundaries second also...

10.2139/ssrn.4543717 preprint EN 2023-01-01

Refractory high-entropy alloys (RHEAs) hold far reaching application potential in high temperature structural materials fields due to their melting points and excellent softening resistance. However, the trade-off between strength-ductility oxidation resistance of RHEAs has become a critical problem for processing application. In this work, we reported strategy enhance ductility NiTiNbTa RHEA by applying eutectic reaction NiTi shape memory alloys. Experimentally, exhibited BCC phase...

10.2139/ssrn.4067190 article EN SSRN Electronic Journal 2022-01-01
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