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Featured researches published by Eon Soo Lee.


international conference on fuel cell science engineering and technology fuelcell collocated with asme international conference on energy sustainability | 2015

A Review on Non-PGM Cathode Catalysts for Polymer Electrolyte Membrane (PEM) Fuel Cell

Shiqiang Zhuang; Xuan Shi; Eon Soo Lee

In recent years, people attach high attention to the energy problem owing to the energy shortage of the world. Since the price of energy resources significantly increases, it is a necessary requirement to develop new alternative sources of energy to replace non-renewable energy resources. Polymer electrolyte membrane (PEM) fuel cell technology is one of the promising fields of clean and sustainable power, which is based on direct conversion of fuel into electricity. However, at the present moment PEM fuel cell is unable to be successful commercialization. The main factor is the high cost of materials in catalyst layer which is a core part of PEM fuel cell. In order to reduce the overall system cost, developing active, inexpensive non-platinum group metal (non-PGM) electrode catalysts to replace currently used Platinum (Pt)-based catalysts is a necessary and essential requirement. This paper reviews several important kinds of non-PGM electro-catalysts with different elements, such as nitrogen, transition metal, and metal organic frameworks (MOF). Among these catalysts, transition metal nitrogen-containing complexes supported on carbon materials (M-N/C) are considered the most potential oxidation reduction reaction (ORR) catalysts. The main synthetic methods are high temperature heat treating (800–1000°C). The mechanical and electrochemical properties of the final product will be analyzed by several characterization methods. For example, a RRDE test will be used to measure electron transfer number and ORR reactivity, which are the most important electrochemical properties of the new catalyst. And the morphology, particle size, crystal phase and specific surface area can be analyzed with SEM, TEM, XRD and BET methods. Although great improvement has been achieved in non-PGM catalyst area of research, there are still some challenges in both ORR activity and stability of non-PGM catalysts. Consequently, how to improve the ORR activity and stability are the major challenge of non-PGM catalyst research and development. Based on the results achieved in this area, our future research direction is also presented and discussed in this paper.Copyright


ASME 2014 International Mechanical Engineering Congress and Exposition | 2014

Simulation of Nano Polymer Chain Sensor in Electroosmotic Flow Using Dissipative Particle Dynamics (DPD) Method

Ramin Zakeri; Eon Soo Lee

In this paper, we simulate the inflation of fixed two ends polymer chain curvature as nano sensor in EOF which it provides a porous media for DPD (dissipative particles dynamics) solvent particles and inflation is resulted. Particles are driven by electroosmotic flow in nanochannel which is as an external force in DPD algorithm and part of particles should move through a non-charged polymer chain which they affect on curvature of polymer chain. Our results for simple nanochannel in EOF are validated with analytical results and we have developed our results when a fixed two ends polymer chain subject in nanochannel as nano sensor in both cases including simple and stenosis nanochannel. Amount of inflation (displacement) of fixed two ends polymer chain is related to electroosmotic forces and interaction between particles. Our aim is that a relation between effective parameters in electroosmotic flow such as electric field, zeta potential, kh parameters and amount of inflation in polymer chain curvature (interaction between particles) is provided for each test case. Based on our results, there is a linear relation between some parameters such as external electrical field, zeta potential and kh parameters (effect of Debye length and channel height) in low electrosmotic forces but non-linear behavior is observed for high electroosmotic forces especially for stenosis channel case. This study opens some new way toward designing proper nano EOF sensors to measure flow characteristics in EOF applications.Copyright


ASME 2014 International Mechanical Engineering Congress and Exposition | 2014

LBM Simulation of Electro-Osmotic Flow (EOF) in Nano/Micro Scales Porous Media With an Inclusive Parameters Study

Ramin Zakeri; Eon Soo Lee; Mohammad Reza Salimi

In this paper, we present our results about simulation of 2D-EOF in Nano/Micro scales porous media using lattice Boltzmann method (LBM) in micro-channel for EOF. The high efficient numerical code use strongly high nonlinear Poisson Boltzmann equation to predicate behavior of EOF in complex geometry. The results are developed with precisely investigation of several effective parameters on permeability of EOF, such as geometry (channel height and number and location of charge), external electric field, thickness of Debye length (ionic concentration), and zeta potential. Our results are in excellent agreement with available analytical results. Our results show that for certain external electric field, zeta potential and porosity, there is an optimal Kh parameter (ionic concentration and channel height in this study) for velocity profiles. Based on the current study, homogenous zeta potential distribution on solid porous media, zeta potential and thickness of Debye length (Kh parameter) can dramatically affect on EOF permeability linearly or non-linearly, depend on amount of quantities. Thus, different arrangements are also considered. We show that prediction of EOF behavior in complex geometry with regarding role of effective parameters is completely possible for various applicable conditions.Copyright


ASME 2014 International Mechanical Engineering Congress and Exposition | 2014

Similar Region in Electroosmotic Flow Rate for Newtonian and Non-Newtonian Fluids Using Dissipative Particle Dynamics (DPD)

Ramin Zakeri; Eon Soo Lee

In this paper, analysis of electroosmotic flow in Newtonian and non Newtonian fluids in nanochannel with dissipative particle dynamics (DPD) method is presented and our results are validated with analytical solutions. Our aim is that which region or regions, based on the volumetric flow rates, in non-Newtonian fluids are similar with comparison to Newtonian ones in regards to various effective EOF parameters. For numerical simulation, the linearized Poisson Boltzmann for external force calculation is used and DPD method is applied for power law fluids to predict non-Newtonian fluids behavior in electroosmotic in various conditions such as different zeta potential, external electric fields, kh parameter (mainly Debye length and channel height), and flow behavior index. Based on the our results, for certain values of effective parameters, there are regions for volumetric flow rates which both Newtonian and non Newtonian electroosmotic flows have similar behavior while out of these regions, there are obviously significant differences and it is not possible to take Newtonian assumption for these regions. Based on our results validated with analytical solution, simplified assumption of taking non Newtonian fluid as Newtonians ones, in different EOF conditions in most cases, have a clearly inaccuracy and presented method can predict which EOF rates in both cases are correctly similar.Copyright


Nano-Structures and Nano-Objects | 2017

A review of nitrogen-doped graphene catalysts for proton exchange membrane fuel cells-synthesis, characterization, and improvement

Shiqiang Zhuang; Bharath Babu Nunna; Debdyuti Mandal; Eon Soo Lee


International Journal of Energy Research | 2016

Synthesis of nitrogen-doped graphene catalyst by high-energy wet ball milling for electrochemical systems

Shiqiang Zhuang; Eon Soo Lee; Lin Lei; Bharath Babu Nunna; Liyuan Kuang; Wen Zhang


229th ECS Meeting (May 29 - June 2, 2016) | 2016

New Nitrogen-Doped Graphene/MOF-modified catalyst for Fuel Cell Systems

Shiqiang Zhuang; Lin Lei; Bharathbabu Nunna; Eon Soo Lee


International Journal of Hydrogen Energy | 2018

Hydrogen production from organic fatty acids using carbon-doped TiO2 nanoparticles under visible light irradiation

Yang Li; Liyuan Kuang; Dequan Xiao; Appala Raju Badireddy; Maocong Hu; Shiqiang Zhuang; Xianqin Wang; Eon Soo Lee; Taha F. Marhaba; Wen Zhang


International Journal of Energy Research | 2017

Nitrogen-doped graphene catalysts: High energy wet ball milling synthesis and characterizations of functional groups and particle size variation with time and speed

Shiqiang Zhuang; Bharath Babu Nunna; Jorge Anibal Boscoboinik; Eon Soo Lee


Nano-Structures and Nano-Objects | 2017

Carbon nanotubes based biosensor for detection of cancer antigens (CA-125) under shear flow condition

Debdyuti Mandal; Bharath Babu Nunna; Shiqiang Zhuang; Subhajit Rakshit; Eon Soo Lee

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Shiqiang Zhuang

New Jersey Institute of Technology

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Bharath Babu Nunna

New Jersey Institute of Technology

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Debdyuti Mandal

New Jersey Institute of Technology

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Lin Lei

New Jersey Institute of Technology

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Ramin Zakeri

New Jersey Institute of Technology

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Liyuan Kuang

New Jersey Institute of Technology

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Wen Zhang

New Jersey Institute of Technology

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Harsimranjit Singh

New Jersey Institute of Technology

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