The Experts below are selected from a list of 12 Experts worldwide ranked by ideXlab platform
Wang Bing-hong - One of the best experts on this subject based on the ideXlab platform.
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RELATIONSHIP BETWEEN THE BROWNIAN MOTION of THE SUSPENDED ParticleS IN ERF AND THEIR Aggregation
Acta Physica Sinica, 1996Co-Authors: Wu Feng, Wang Bing-hongAbstract:It is known that the Brownian motion is concerned with the Aggregation of Particle- chains in electrorheological fluids (ERF) under external field. In this paper we suggest a two-sphere model in which we assume that there is internal motion between two spheres but they keep separation from each other for simplifying Particle-chain in ERF. Analysing the properties of the Brownian motion of the two-sphere system the result of its trace fractal dimension less than 2 is obtained. In view of the dimension of motion-trace a qualitative explanation of the Aggregation of Particle-chains in ERF subjected to external electric field, i.e. ,phase separation,is given.
Wu Feng - One of the best experts on this subject based on the ideXlab platform.
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RELATIONSHIP BETWEEN THE BROWNIAN MOTION of THE SUSPENDED ParticleS IN ERF AND THEIR Aggregation
Acta Physica Sinica, 1996Co-Authors: Wu Feng, Wang Bing-hongAbstract:It is known that the Brownian motion is concerned with the Aggregation of Particle- chains in electrorheological fluids (ERF) under external field. In this paper we suggest a two-sphere model in which we assume that there is internal motion between two spheres but they keep separation from each other for simplifying Particle-chain in ERF. Analysing the properties of the Brownian motion of the two-sphere system the result of its trace fractal dimension less than 2 is obtained. In view of the dimension of motion-trace a qualitative explanation of the Aggregation of Particle-chains in ERF subjected to external electric field, i.e. ,phase separation,is given.
X. Yun Xu - One of the best experts on this subject based on the ideXlab platform.
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Simulation of micro-behaviors including nucleation, growth, and Aggregation in Particle system
Science China-chemistry, 2009Co-Authors: Zhaolin Gu, Junwei Su, Jianying Jiao, X. Yun XuAbstract:A new method for the solution of population balance equations (PBE) describing the micro-processes such as nucleation, growth, Aggregation of Particle swarms in a multiphase system is proposed. The method is based on the fixed pivot moment and allows arbitrary number of moments to be tracked simultaneously. By expressing PBEs for both batch and continuous operations in a general form, and using weighted residual method to derive the moment equations, different moments can be tracked directly. The numerical density function is assumed to be a summation of several weighted Dirac Delta functions, and the integral and derivative terms in PBEs are transformed to a summation in order to reduce computational cost. Simulations of a batch nucleation-growth process and a continuous Aggregation-growth process have demonstrated good agreement with the corresponding analytical solutions, with relative errors less than 10−8%. Simulation of a combined nucleation-growth-Aggregation process, which does not have an analytical solution, is also included, so as to reproduce the micro-behaviors of such a complex system, demonstrating the feasibility and reliability of this method.
Zhaolin Gu - One of the best experts on this subject based on the ideXlab platform.
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Simulation of micro-behaviors including nucleation, growth, and Aggregation in Particle system
Science China-chemistry, 2009Co-Authors: Zhaolin Gu, Junwei Su, Jianying Jiao, X. Yun XuAbstract:A new method for the solution of population balance equations (PBE) describing the micro-processes such as nucleation, growth, Aggregation of Particle swarms in a multiphase system is proposed. The method is based on the fixed pivot moment and allows arbitrary number of moments to be tracked simultaneously. By expressing PBEs for both batch and continuous operations in a general form, and using weighted residual method to derive the moment equations, different moments can be tracked directly. The numerical density function is assumed to be a summation of several weighted Dirac Delta functions, and the integral and derivative terms in PBEs are transformed to a summation in order to reduce computational cost. Simulations of a batch nucleation-growth process and a continuous Aggregation-growth process have demonstrated good agreement with the corresponding analytical solutions, with relative errors less than 10−8%. Simulation of a combined nucleation-growth-Aggregation process, which does not have an analytical solution, is also included, so as to reproduce the micro-behaviors of such a complex system, demonstrating the feasibility and reliability of this method.
Junwei Su - One of the best experts on this subject based on the ideXlab platform.
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Simulation of micro-behaviors including nucleation, growth, and Aggregation in Particle system
Science China-chemistry, 2009Co-Authors: Zhaolin Gu, Junwei Su, Jianying Jiao, X. Yun XuAbstract:A new method for the solution of population balance equations (PBE) describing the micro-processes such as nucleation, growth, Aggregation of Particle swarms in a multiphase system is proposed. The method is based on the fixed pivot moment and allows arbitrary number of moments to be tracked simultaneously. By expressing PBEs for both batch and continuous operations in a general form, and using weighted residual method to derive the moment equations, different moments can be tracked directly. The numerical density function is assumed to be a summation of several weighted Dirac Delta functions, and the integral and derivative terms in PBEs are transformed to a summation in order to reduce computational cost. Simulations of a batch nucleation-growth process and a continuous Aggregation-growth process have demonstrated good agreement with the corresponding analytical solutions, with relative errors less than 10−8%. Simulation of a combined nucleation-growth-Aggregation process, which does not have an analytical solution, is also included, so as to reproduce the micro-behaviors of such a complex system, demonstrating the feasibility and reliability of this method.
