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portfolio
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projects
Dust Control System for Port Conveyor
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Korea POSCO Grab Type Ship Unloader
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Vietnam Quang Trach Continuous Ship Unloader
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Simulation of High-velocity Impact on Mg Alloys
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publications
The Conceptional Design and Simulation of a Foldable Lunar Vehicle
Published in Proceedings of the 2021 11th International Conference on Power, Energy and Electrical Engineering (CPEEE), pp. 272-280, Shiga, Japan, 2021
This paper proposes a conceptual design for a small foldable lunar vehicle intended to improve deployability and operational efficiency in future moon exploration. The vehicle incorporates a foldable mechanism that reduces stowed volume, a robotic arm with an integrated camera to simplify sensing requirements, and a hybrid power concept combining solar panels with compact nuclear batteries. Its folding process, slope-climbing capability, and obstacle-crossing performance are evaluated through SOLIDWORKS MOTION simulations. Based on the simulation results, further design improvements, including enhanced suspension and automatic route planning, are discussed to support more practical and scalable lunar exploration missions.
Recommended citation: Rong Jin (2021). "The Conceptional Design and Simulation of a Foldable Lunar Vehicle." In Proceedings of the 2021 11th International Conference on Power, Energy and Electrical Engineering (CPEEE), pp. 272-280. February 26-28, 2021, Shiga, Japan. DOI: 10.1109/CPEEE51686.2021.9383342
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Characterization of Energy Dissipation and Material Failure Mechanisms In High-Velocity Impact of Magnesium Alloys
Published in Proceedings of the ASME 2024 International Mechanical Engineering Congress and Exposition, Volume 3, American Society of Mechanical Engineers, Portland, Oregon, USA, 2024
This work presents a computational study of high-velocity impact in magnesium alloys using the Smoothed Particle Hydrodynamics method. Simulations of a stainless steel projectile impacting a magnesium alloy plate over a range of velocities are used to investigate stress evolution, temperature rise, and dominant material failure mechanisms such as spalling and adiabatic shearing. The study also quantifies how the initial impact kinetic energy is redistributed into the kinetic and internal energies of both projectile and target. The results show how impact velocity influences energy partition, back-face response, and the relative contributions of different dissipation pathways during penetration.
Recommended citation: Rong Jin, Xingsheng Sun (2024). "Characterization of Energy Dissipation and Material Failure Mechanisms In High-Velocity Impact of Magnesium Alloys." In Proceedings of the ASME 2024 International Mechanical Engineering Congress and Exposition, Volume 3. American Society of Mechanical Engineers, November 17-21, 2024, Portland, Oregon, USA. DOI: 10.1115/imece2024-141602
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Size and shape dependence of hydrogen-induced phase transformation and sorption hysteresis in palladium nanoparticles
Published in Modelling and Simulation in Materials Science and Engineering, Vol. 32(8), 2024
Phase transitions in metal-hydrogen systems are important for applications in energy storage, catalysis, and sensing, yet the link between nanoparticle structure and hydrogen behavior remains difficult to quantify. This work develops a computational framework combining Diffusive Molecular Dynamics with an iterative equilibrium strategy to study hydrogen absorption and desorption in palladium nanoparticles of different sizes and shapes. The results reveal abrupt phase transformations and pronounced sorption hysteresis in all cases, with clear size and shape effects. These trends are explained through facet-dependent volumetric strain distributions and heterogeneous hydrogen arrangements within the nanoparticles.
Recommended citation: Xingsheng Sun, Rong Jin (2024). "Size and shape dependence of hydrogen-induced phase transformation and sorption hysteresis in palladium nanoparticles." Modelling and Simulation in Materials Science and Engineering, Vol. 32(8). DOI: 10.1088/1361-651X/ad89e3
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Ensemble-based data assimilation for material model characterization in high-velocity impact
Published in International Journal of Impact Engineering, Volume 215, Article 105738, 2026
High-fidelity simulations for high-velocity impact rely on material models and parameters that are often calibrated through labor-intensive manual fitting. This work develops an ensemble-based data assimilation framework that integrates Smoothed Particle Hydrodynamics, the ensemble Kalman filter, and adaptive covariance inflation to automatically identify representative plasticity, fracture, and equation-of-state parameters from a single high-velocity impact test. Using synthetic back-face deflection data of an AZ31B magnesium plate, the study shows that the proposed approach can efficiently recover sensitive parameters, diagnose identifiability through ensemble statistics, and provide a robust alternative to traditional calibration workflows.
Recommended citation: Rong Jin, Guangyao Wang, and Xingsheng Sun (2026). "Ensemble-based data assimilation for material model characterization in high-velocity impact." International Journal of Impact Engineering, 215, 105738. DOI: 10.1016/j.ijimpeng.2026.105738
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talks
A Numerical Analysis of Energy Dissipation and Failure Mechanisms in Magnesium Alloys Subjected to High-Velocity Impact
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The presentation performed a computational analysis of high-velocity impacts (1.2–2.4 km/s) between stainless steel projectiles and magnesium alloy targets using Smoothed Particle Hydrodynamics (SPH). Simulations reveal principal failure mechanisms, quantify energy dissipation into kinetic and internal energies, and demonstrate velocity-dependent energy partitioning. Results highlight peak kinetic energies at shock-wave arrival and evolving energy distributions during penetration.
Characterization of Energy Dissipation and Material Failure Mechanisms In High-Velocity Impact of Magnesium Alloys
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This presentation investigated the mechanisms of material deformation, failure, and energy dissipation in high/hyper-velocity impacts on magnesium alloys impacted by steel projectiles (up to 3 km/s). A high-fidelity Smoothed Particle Hydrodynamics (SPH) model, calibrated with plasticity, fracture, and EOS models, was validated against experimental data. Parametric studies revealed critical insights into energy partitioning and failure mechanisms, guiding protective system design.
Bayesian Calibration for High-Velocity Impact Problems through Ensemble-Based Data Assimilation
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This presentation addressed the calibration challenges in high-velocity impact modeling by applying ensemble-based data assimilation (DA) to Smoothed Particle Hydrodynamics (SPH) simulations. Utilizing the ensemble Kalman filter (EnKF), we iteratively integrated experimental observations and simulation results to enhance accuracy of material model parameters. The resulting improved calibration framework significantly advances reliability and precision in high-strain-rate impact simulations.
Bayesian Calibration of Material Model Parameters for High-Velocity Impact Problems through Ensemble Kalman Inversion
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In this work, we employ ensemble-based data assimilation (DA) to calibrate material model parameters under high-velocity impact conditions. DA integrates experimental observations with numerical models. By iteratively updating simulation inputs based on observational data, DA minimizes errors arising from both numerical approximations and experimental inaccuracies. Specifically, we use smoothed particle hydrodynamics (SPH) simulations as the dynamic system. The discrete-time nature of SPH simulations makes them particularly well-suited for sequential DA methods. We apply the ensemble Kalman filter (EnKF), a robust DA technique, to refine material model parameters by reconciling discrepancies between experimental observations and simulation results. This work signifies a substantial progression towards integrating DA techniques into high-strain-rate material modeling and demonstrates the potential of combining experimental data with advanced numerical methods to address challenges in high-velocity impact applications. The expected outcome is an improved methodology for calibrating material models and estimating model parameters, yielding more accurate and reliable high-velocity impact simulations.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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