Zekun Wang is a Royal Society K.C. Wong International Fellow at The Natural History Museum in London, UK. With a background in Mechanical Engineering from Peking University and Nanjing University of Aeronautics & Astronautics, Zekun has made significant contributions to computational fluid dynamics, particulate flows, and additive manufacturing. Their research focuses on numerical and theoretical investigations into thermal particle-fluid interactions in powder-based laser additive manufacturing, among other areas. Zekun’s work spans academia, industry collaborations, and international conferences, earning them numerous awards and recognitions for their contributions to the field.
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Zekun Wang’s contributions to the field are reflected in their author metrics, including a strong publication record in top-tier journals such as Powder Technology, International Journal of Heat and Mass Transfer, and Journal of Computational Physics. Their research has garnered attention for its innovative approaches to semi-resolved CFD-DEM coupling, liquid bridges, dimensional analyses, trace fossils, and functional morphology of extinct animals. Zekun’s work is characterized by its interdisciplinary nature, blending mathematics, mechanics, and paleontology to tackle complex problems in engineering and natural sciences.
- Citations: 461
- Documents Authored: 22
- h-index: 10
Education
Zekun Wang completed their Ph.D. in Mechanical Engineering at Peking University, focusing on numerical simulations in powder-based additive manufacturing. Prior to their doctoral studies, they obtained a Bachelor’s degree in Mechanical Engineering from Nanjing University of Aeronautics & Astronautics. Their academic journey has provided them with a solid foundation in mathematical analysis, fluid mechanics, computational geometry, and continuum mechanics, essential for their research endeavors.
Research Focus
Zekun Wang’s research primarily revolves around computational fluid dynamics (CFD), particulate flows, and additive manufacturing. Their work delves into the intricate interactions between particles and fluids, with applications in powder-based laser additive manufacturing, fluidized beds, and conductive contaminants. Zekun’s expertise lies in developing innovative numerical models and simulation techniques to study complex phenomena, such as thermal particle-fluid interactions, liquid bridges, and morphological evolution in extinct organisms.
Professional Journey
Zekun Wang’s professional journey encompasses various research fellowships, academic positions, and teaching engagements. They have held prestigious roles such as Royal Society Newton International Fellow and Assistant Research Fellow at Peking University Nanchang Innovation Research Institute. Zekun’s contributions extend beyond academia, with active involvement in organizing international conferences, mentoring students, and collaborating with industry partners.
Honors & Awards
Zekun Wang has received numerous honors and awards in recognition of their outstanding contributions to research and academia. These accolades include Marie Skłodowska-Curie Actions Postdoctoral Fellowships, Royal Society Newton International Fellowship, Best Student Presentation Awards, President’s Scholarships, and National Scholarships for Doctoral Students. Their work has also been commended with prestigious awards such as the Emerald Literati Award and Excellent Presentation Awards at academic forums and conferences.
Publications Noted & Contributions
Zekun Wang’s notable publications encompass a wide range of topics, including semi-resolved CFD-DEM coupling methods, liquid bridges, dimensional analyses, trace fossils, and functional morphology of extinct animals. Their research has been published in esteemed journals such as Physics of Fluids, Journal of Materials Processing Technology, and Palaeontology, contributing valuable insights to their respective fields. Zekun’s contributions have advanced our understanding of complex phenomena in engineering, paleontology, and fluid dynamics.
“A novel data-driven dimensional analysis framework for predicting melt pool morphology and porosity evolution in powder bed fusion”
- Authors: N Hang, Z Wang, M Liu
- Published in the Journal of Materials Processing Technology in 2023
- Introduces a novel data-driven dimensional analysis framework for predicting the morphology of melt pools and the evolution of porosity in powder bed fusion processes, offering insights into additive manufacturing.
“Discrepancies between Gaussian surface heat source model and ray tracing heat source model for numerical simulation of selective laser melting”
- Authors: X Zhou, Z Wang, P Hu, M Liu
- Published in Computational Mechanics in 2023
- Investigates discrepancies between Gaussian surface heat source and ray tracing heat source models for numerical simulations of selective laser melting, providing insights into the accuracy of simulation methods in additive manufacturing.
“Scaling laws of the lifting height of a conductive particle in a Gas Insulated Switchgear”
- Authors: Z Wang, M Liu, X Yang
- Published in the Journal of Physics D: Applied Physics in 2021
- Explores the scaling laws governing the lifting height of conductive particles in Gas Insulated Switchgear, contributing to the understanding of particle dynamics in electrical engineering applications.
“Simulation of droplet spreading on surfaces with asymmetrical wettability using multiphase Smoothed Particle Hydrodynamics (SPH)”
- Authors: C Li, H Liu, Z Wang, H Li, J Chang
- Published in the European Physical Journal Plus in 2021
- Conducts simulations of droplet spreading on surfaces with asymmetrical wettability using multiphase Smoothed Particle Hydrodynamics, offering insights into fluid dynamics and surface interactions.
“Quantitative ichnology: a novel framework to determine the producers of locomotory trace fossils with the ichnogenus Gordia as a case study”
- Authors: Z Wang, IA Rahman
- Published in Palaeontology in 2023
- Introduces a quantitative framework for determining the producers of locomotory trace fossils, using the ichnogenus Gordia as a case study, advancing the field of ichnology.
“Function of flow wakes for queuing trilobites: Positioning rather than drag reduction – Criteria for drag force assessment in palaeontological CFD simulations”
- Authors: Z Wang, GD Edgecombe, J Hou
- Published in Palaeogeography, Palaeoclimatology, Palaeoecology in 2024
- Investigates the function of flow wakes for queuing trilobites, emphasizing positioning over drag reduction and establishing criteria for drag force assessment in palaeontological Computational Fluid Dynamics simulations.
“A novel dimensionless number characterizing flow regimes based on Smoothed Dissipative Particle Dynamics (SDPD)”
- Authors: C Li, Z Wang, H Liu, K Ji, X Zhang
- Published in The European Physical Journal Plus
- Introduces a novel dimensionless number characterizing flow regimes based on Smoothed Dissipative Particle Dynamics, contributing to the understanding of fluid dynamics in complex systems.
Research Timeline
Zekun Wang’s research journey has been marked by significant milestones and achievements. From completing their Ph.D. at Peking University to embarking on prestigious fellowships and collaborations, their timeline showcases a trajectory of continuous growth and innovation. Their research timeline underscores a commitment to excellence, with each phase characterized by groundbreaking discoveries, impactful publications, and notable recognitions in the academic community.
Collaborations and Projects
Zekun Wang has been actively engaged in collaborations with industry partners, academic institutions, and research organizations. Their projects span a diverse range of topics, including additive manufacturing, computational fluid dynamics, and paleontology. Zekun’s collaborative efforts have resulted in funded research projects, guest lecturer positions, and invitations to contribute as a reviewer for esteemed journals and grants. Their collaborative endeavors highlight a commitment to interdisciplinary research and knowledge exchange across various domains.
