
Kunning TangUNSW Sydney | UNSW · Mineral energy and resources engineering
Kunning Tang
Doctor of Engineering
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24
Publications
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Publications
Publications (24)
Carbon catalysts have shown promise as an alternative to the currently available energy-intensive approaches for nitrogen fixation (NF) to urea, NH3, or related nitrogenous compounds. The primary challenges for NF are the natural inertia of nitrogenous molecules and the competitive hydrogen evolution reaction (HER). Recently, carbon-based materials...
The invention of hydroelectric nanogenerators (HENGs) is a breakthrough technology for green electricity generation. However, the underlying mechanisms driving energy conversion remain largely unknown, impeding the development of HENGs with high energy densities. Here, we develop a new Multiphysics model involving Darcy's Law, phase transfer in por...
Ion transport within saturated porous media is an intricate process in which efficient ion delivery is desired in many engineering problems. However, controlling the behavior of ion transport proves challenging, as ion transport is influenced by a variety of driving mechanisms, which requires a systematic understanding. Herein, we study a coupled a...
Article Efficient energy generation from a sweat-powered, wearable, MXene-based hydroelectric nanogenerator Graphical abstract Highlights d Single-layer MXene nanosheets are integrated into a wool cloth to fabricate HENGs d Sweat is used as the driving force for HENGs, enabling sustainable energy generation d Oxidized ketjen black nanoparticles in...
The performance of nano- and micro-porous materials in capturing and releasing fluids, such as during CO2 geo-storage and water/gas removal in fuel cells and electrolyzers, is determined by their wettability in contact with the solid. However, accurately characterizing wettability is challenging due to spatial variations in dynamic forces, chemical...
Electrokinetic in-situ recovery is an alternative to conventional mining, relying on the application of an electric potential to enhance the subsurface flow of ions. Understanding the pore-scale flow and ion transport under electric potential is essential for petrophysical properties estimation and flow behavior characterization. The governing phys...
Hydroelectric nanogenerators (HENGs) are emerging devices towards sustainable and green energy production. The voltage produced by HENGs varies depending on several variables including the device size and architecture, the type of material used and the ambient conditions. Currently, HENGs have demonstrated the ability to generate voltage up to a fe...
Groundwater pollution poses a significant threat to environmental sustainability during urbanization. Existing remediation methods like pump-and-treat and electrokinetics have limited ion transport control. This study introduces a coupled advection-diffusion-electromigration system for controlled ion transport in the subsurface. Using the Lattice-B...
Electrokinetic in-situ recovery is an alternative to conventional mining, relying on the application of an electric potential to enhance the subsurface flow of ions. Understanding the pore-scale flow and ion transport under electric potential is essential for petrophysical properties estimation and flow behavior characterization. The governing phys...
Proton exchange membrane fuel cells, consuming hydrogen and oxygen to generate clean electricity and water, suffer acute liquid water challenges. Accurate liquid water modelling is inherently challenging due to the multi-phase, multi-component, reactive dynamics within multi-scale, multi-layered porous media. In addition, currently inadequate imagi...
The iron ore sintering process needs to be optimised to decrease its energy intensity and emissions of carbon and atmospheric pollutants, while continuing to produce sinter of sufficient quality for current and future low carbon blast furnace operations. Ideally, the sinter structure and mineralogy should be related back to the particle-level struc...
Alternative modern approaches to conventional mining are driven by the need for more sustainable exploitation schemes with the aim of increasing the recovery of metals and reducing the environmental footprint. In-situ recovery (ISR) represents an unconventional mining technique, where a lixiviant is injected sub-surface to recover valuable minerals...
Mineral liberation analysis (MLA) is an automated mineral analysis system that identifies minerals in polished
two-dimensional (2D) sections of drill or lump cores or particulate mineral matter. MLA allows a wide range of
mineral characteristics to be investigated, including fragment size, mineral abundance, and liberation. To date,
this analysi...
Mitigating greenhouse gas emissions by underground carbon dioxide storage or by coupling intermittent renewable energy with underground hydrogen storage are solutions essential to the future of energy. Of particular importance to the success of underground storage is the fundamental understanding of geochemical reactions with mineralogical phases a...
This study demonstrates the benefit of convolutional neural networks to accurately classify the different materials of proton exchange membrane fuel cells using X-ray micro-computed tomography. Nineteen 2D orthoslices from a 3D tomography dataset were segmented with high quality and used to train a novel U-ResNet convolutional neural network (CNN)...
Using X-ray microcomputed tomography (micro-CT) as a 3D microstructural analysis tool elucidates the time evolution of foam Plateau borders and nodes, providing unprecedented vision of foam dynamics. Deep learning facilitates the capability by allowing for quantifiable images to be collected at the time scale of five minutes. The stability mechanis...