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Jinwon Lee - One of the best experts on this subject based on the ideXlab platform.

  • characteristics of kinetic energy transfer in collisions between a fragile nano Particle and a rigid Particle on a surface
    Journal of Aerosol Science, 2015
    Co-Authors: Minseok Choi, Jinwon Lee
    Abstract:

    Abstract The characteristics of kinetic energy transfer during a collision between a rigid Target Particle on a surface and a fragile bullet Particle (BP) moving at a high velocity were analyzed by Molecular Dynamics (MD) simulation. Ar, N2, and CO2 BPs were considered; their size, temperature and velocity were varied over a wide range. The fraction (FK) of kinetic energy transferred from the BP to the Target Particle was almost independent of BP size or velocity, but was sensitively dependent on BP type and temperature. The rigidity or the average potential energy of the BP was a dominant factor determining the post-collision behavior of the Target Particle and FK. FK was almost linearly proportional to the average potential energy per molecule of the BP.

  • characteristics of kinetic energy transfer in collisions between fragile nanoParticle and rigid Particle on surface
    Transactions of The Korean Society of Mechanical Engineers B, 2014
    Co-Authors: Minseok Choi, Jinwon Lee
    Abstract:

    The characteristics of kinetic energy transfer during a collision between a rigid Target Particle on a surface and a fragile bullet Particle moving at a high velocity were analyzed using molecular dynamics simulation. Bullet Particles made of CO2 were considered and their size, temperature, and velocity were varied over a wide range. The fraction of kinetic energy transferred from the bullet Particle to the Target Particle was almost independent of the former's size or velocity; however, it was sensitively dependent on its temperature, which can be attributed to the change in the bullet rigidity with temperature. This fraction was nearly twice as high for CO2 bullets as for Ar bullets. This result explains the reason for the more superior cleaning performance of CO2 bullets than Ar bullets with regard to contaminants in the 10 nm size range. † Corresponding Author, jwlee@postech.ac.kr C 2014 The Korean Society of Mechanical Engineers

  • Molecular dynamics (MD) simulation on the collision of a nano-sized Particle onto another nano-sized Particle adhered on a flat substrate
    Journal of Aerosol Science, 2005
    Co-Authors: Dongsik Kim, Jinwon Lee, Joel Koplik
    Abstract:

    Abstract Adhesion of a nano Particle on a flat substrate both with and without deformation and also the behaviors of bullet and Target Particles after collision are simulated using the MD technique. The bullet Particle, a low-temperature solid Argon, is modeled by a Lennard–Jones (LJ) potential, and the Target Particle is modeled by a strong LJ potential. Parameters varied are the size of bullet and contaminant Particles, adhesion force between the Target Particle and the substrate, and the velocity and collision angle of the bullet Particle. Removal characteristics are different between weakly adhered and strongly adhered Particles. For soft Target Particles high velocity at small angle favors removal. For hard Particles the Particle–substrate adhesion is the determining factor, and the ineffective angle is observed.

B D Jana - One of the best experts on this subject based on the ideXlab platform.

  • A new methodology for modelling erosion–corrosion regimes on real surfaces : Gliding down the galvanic series for a range of metal-corrosion systems
    Wear, 2010
    Co-Authors: Margaret Stack, Shehab Abdelrahman, B D Jana
    Abstract:

    Abstract Erosion–corrosion of materials in aqueous environments is a complex phenomenon involving a very large number of variables. In such cases, characteristics of the Target, Particle and the environment affect the degradation mechanism. Predicting material behaviour may sometimes be a “black art” due to the parameter size which is involved in such processes. In studies of erosion–corrosion, there have been significant advances in the modelling of such processes in recent years. Various methodologies employed include quasi-static modelling, using CFD modelling and erosion–corrosion mapping. In such cases, the output of the various models can differ significantly. In this work, a methodology combining CFD modelling and erosion–corrosion mapping has been developed to model the erosion–corrosion behaviour of pure metals, which variously passivate and dissolve under a range of simulated conditions. This provides a means of mapping the component undergoing erosion–corrosion and thus is a step change on previous modelling work in this area as it enables superimposition of the erosion–corrosion map on real surfaces. The relative advantages and limitations of this approach are discussed in this paper.

  • a new methodology for modelling erosion corrosion regimes on real surfaces gliding down the galvanic series for a range of metal corrosion systems
    Wear, 2010
    Co-Authors: Margaret Stack, Shehab Abdelrahman, B D Jana
    Abstract:

    Abstract Erosion–corrosion of materials in aqueous environments is a complex phenomenon involving a very large number of variables. In such cases, characteristics of the Target, Particle and the environment affect the degradation mechanism. Predicting material behaviour may sometimes be a “black art” due to the parameter size which is involved in such processes. In studies of erosion–corrosion, there have been significant advances in the modelling of such processes in recent years. Various methodologies employed include quasi-static modelling, using CFD modelling and erosion–corrosion mapping. In such cases, the output of the various models can differ significantly. In this work, a methodology combining CFD modelling and erosion–corrosion mapping has been developed to model the erosion–corrosion behaviour of pure metals, which variously passivate and dissolve under a range of simulated conditions. This provides a means of mapping the component undergoing erosion–corrosion and thus is a step change on previous modelling work in this area as it enables superimposition of the erosion–corrosion map on real surfaces. The relative advantages and limitations of this approach are discussed in this paper.

  • A new methodology for modelling erosion–corrosion regimes on real surfaces: Gliding down the galvanic series for a range of metal-corrosion systems
    Wear, 2010
    Co-Authors: M.m. Stack, S.m. Abdelrahman, B D Jana
    Abstract:

    Erosion-corrosion of materials in aqueous environments is a complex phenomenon involving a very large number of variables. In such cases, characteristics of the Target, Particle and the environment affect the degradation mechanism. Predicting material behaviour may sometimes be a "black art" due to the parameter size which is involved in such processes. In studies of erosion-corrosion, there have been significant advances in the modelling of such processes in recent years. Various methodologies employed include quasi-static modelling, using CFD modelling and erosion-corrosion mapping. In such cases, the output of the various models can differ significantly. In this work, a methodology combining CFD modelling and erosion-corrosion mapping has been developed to model erosion-corrosion behaviour of pure metals, which variously passivate and dissolve under a range of simulated conditions. This provides a means of mapping the component undergoing erosion-corrosion and thus is a step change on previous modelling work in this area as it enables superimposition of the erosion-corrosion map on real surfaces. The relative advantages and limitations of this approach are discussed in this paper

James H. Mcclellan - One of the best experts on this subject based on the ideXlab platform.

  • ICASSP (4) - A Range-Only Multiple Target Particle Filter Tracker
    2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings, 1
    Co-Authors: Volkan Cevher, Rajbabu Velmurugan, James H. Mcclellan
    Abstract:

    We propose a Particle filter tracker to track multiple maneuvering Targets using a batch of range measurements. The state update is formulated through a locally linear motion model and the observability of the state vector is proved using geometrical arguments. The data likelihood treats the range observations as an image using template models derived from the state update equation, and incorporates the possibility of missing data as well as spurious range observations. The Particle filter handles multiple Targets, using a partitioned state-vector approach. The filter proposal function uses a Gaussian approximation of the full-posterior to cope with Target maneuvers for improved efficiency. By treating the range measurements as images and using smoothness constraints, the Particle filter is able to avoid the data association problems. Computer simulations demonstrate the performance of the tracking algorithm.

Zhenyu Li - One of the best experts on this subject based on the ideXlab platform.

  • streamline based design guideline for deterministic microfluidic hydrodynamic single cell traps
    Biomicrofluidics, 2015
    Co-Authors: Allan Guan, Aditi Shenoy, Richard Smith, Zhenyu Li
    Abstract:

    A prerequisite for single cell study is the capture and isolation of individual cells. In microfluidic devices, cell capture is often achieved by means of trapping. While many microfluidic trapping techniques exist, hydrodynamic methods are particularly attractive due to their simplicity and scalability. However, current design guidelines for single cell hydrodynamic traps predominantly rely on flow resistance manipulation or qualitative streamline analysis without considering the Target Particle size. This lack of quantitative design criteria from first principles often leads to non-optimal probabilistic trapping. In this work, we describe an analytical design guideline for deterministic single cell hydrodynamic trapping through the optimization of streamline distributions under laminar flow with cell size as a key parameter. Using this guideline, we demonstrate an example design which can achieve 100% capture efficiency for a given Particle size. Finite element modelling was used to determine the design parameters necessary for optimal trapping. The simulation results were subsequently confirmed with on-chip microbead and white blood cell trapping experiments.

Minseok Choi - One of the best experts on this subject based on the ideXlab platform.

  • characteristics of kinetic energy transfer in collisions between a fragile nano Particle and a rigid Particle on a surface
    Journal of Aerosol Science, 2015
    Co-Authors: Minseok Choi, Jinwon Lee
    Abstract:

    Abstract The characteristics of kinetic energy transfer during a collision between a rigid Target Particle on a surface and a fragile bullet Particle (BP) moving at a high velocity were analyzed by Molecular Dynamics (MD) simulation. Ar, N2, and CO2 BPs were considered; their size, temperature and velocity were varied over a wide range. The fraction (FK) of kinetic energy transferred from the BP to the Target Particle was almost independent of BP size or velocity, but was sensitively dependent on BP type and temperature. The rigidity or the average potential energy of the BP was a dominant factor determining the post-collision behavior of the Target Particle and FK. FK was almost linearly proportional to the average potential energy per molecule of the BP.

  • characteristics of kinetic energy transfer in collisions between fragile nanoParticle and rigid Particle on surface
    Transactions of The Korean Society of Mechanical Engineers B, 2014
    Co-Authors: Minseok Choi, Jinwon Lee
    Abstract:

    The characteristics of kinetic energy transfer during a collision between a rigid Target Particle on a surface and a fragile bullet Particle moving at a high velocity were analyzed using molecular dynamics simulation. Bullet Particles made of CO2 were considered and their size, temperature, and velocity were varied over a wide range. The fraction of kinetic energy transferred from the bullet Particle to the Target Particle was almost independent of the former's size or velocity; however, it was sensitively dependent on its temperature, which can be attributed to the change in the bullet rigidity with temperature. This fraction was nearly twice as high for CO2 bullets as for Ar bullets. This result explains the reason for the more superior cleaning performance of CO2 bullets than Ar bullets with regard to contaminants in the 10 nm size range. † Corresponding Author, jwlee@postech.ac.kr C 2014 The Korean Society of Mechanical Engineers