Dongmin Yang

ORCID: 0000-0002-4811-5443
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About
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Research Areas
  • Mechanical Behavior of Composites
  • Additive Manufacturing and 3D Printing Technologies
  • Innovations in Concrete and Construction Materials
  • Manufacturing Process and Optimization
  • Rock Mechanics and Modeling
  • Lattice Boltzmann Simulation Studies
  • Advanced ceramic materials synthesis
  • Granular flow and fluidized beds
  • Advanced Surface Polishing Techniques
  • Healthcare Education and Workforce Issues
  • High-Velocity Impact and Material Behavior
  • Structural Behavior of Reinforced Concrete
  • Particle Dynamics in Fluid Flows
  • Composite Material Mechanics
  • Numerical methods in engineering
  • Fluid Dynamics Simulations and Interactions
  • Job Satisfaction and Organizational Behavior
  • Structural Response to Dynamic Loads
  • Advanced machining processes and optimization
  • Mobile Ad Hoc Networks
  • Drilling and Well Engineering
  • Aluminum Alloys Composites Properties
  • Enhanced Oil Recovery Techniques
  • Energy Harvesting in Wireless Networks
  • Tunneling and Rock Mechanics

University of Edinburgh
2020-2025

Chinese Research Academy of Environmental Sciences
2024

Honam University
2024

Tongji University
2023

University of Leeds
2011-2020

Northeastern University
2020

Jeonbuk National University
2018-2019

University of Houston
2019

Xi'an University of Technology
2010-2018

Korea University
2018

This study presents a sequentially coupled optimisation of structural topology and fibre orientation for 3D printing continuous carbon reinforced polymer composites. Topology was first performed to obtain the geometry structure under specific load, then fibres were placed along identified principal stress trajectories. Composite preforms printed by material extrusion-based technique followed post-processing with vacuum bagging using epoxy infusion. The case Messerschmitt-Bolkow-Blohm (MBB)...

10.1016/j.compstruct.2023.116914 article EN cc-by Composite Structures 2023-03-13

Particle-fluid flows with free-surfaces are commonly encountered in many industrial processes, such as wet ball milling, slurry transport and mixing. Accurate prediction of particle behaviors these systems is critical to establish fundamental understandings the however presence free-surface makes modelling them a challenge for most traditional, continuum, multi-phase methodologies. Coupling smoothed hydrodynamics discrete element method (SPH-DEM) has potential be an effective numerical...

10.1016/j.powtec.2018.07.043 article EN cc-by-nc-nd Powder Technology 2018-07-17

This paper presents an experimental study on 3D printing of continuous carbon fibre reinforced thermoset epoxy composites. Powder-based solid was electrostatically flocked the 1K tow and then melted to fabricate composite filaments. The produced filament printed using a modified extrusion-based printer which deposited following designed paths, form multilayer preforms with complex geometries. After vacuum bagging oven curing, high tensile strength (1372.4 MPa) modulus (98.2 GPa) were...

10.1016/j.coco.2022.101239 article EN cc-by-nc-nd Composites Communications 2022-06-30

This study investigates the mechanism of fibre deposition in conventional 3D printing and presents an aligned (AFD) method to improve placement. The reveals that cracking filament transition zone torsional deformation during steering path are main cause defects process. AFD is shown reduce mitigate waviness twisting, hence producing smooth deformation, introducing less air voids breakage printing. It found improves alignment angle from ±25° ±12° reduces void content 0.27 % straight-line...

10.1016/j.compositesa.2023.107454 article EN cc-by Composites Part A Applied Science and Manufacturing 2023-01-23

Polyphenylene sulphide composites with recycled carbon fibres are of high interest due to their promising mechanical properties. Poor interface adhesion between fibre and thermoplastic matrix, however, remains a major problem in composite manufacturing. Herein, novel one-step method using bio-inspired copolymerisation dopamine graft silica nanoparticles onto the surface is reported. Comprehensive investigations were conducted fabricate treated characterise modified samples by analysing...

10.1016/j.jclepro.2024.141855 article EN cc-by Journal of Cleaner Production 2024-03-20

This study presents a data-driven, probability embedded approach for the failure prediction of IM7/8552 unidirectional carbon fibre reinforced polymer (CFRP) composite materials under biaxial stress states based on micromechanical modelling and artificial neural networks (ANNs). High-fidelity 3D representative volume element (RVE) finite models were used generation points. Fibre friction between fibres matrix after fibre/matrix debonding taken into consideration implemented as VUMAT...

10.1016/j.compstruct.2023.116837 article EN cc-by Composite Structures 2023-02-24
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