Analytical multi-scale method for multi-phase complex systems in process engineering—Bridging reductionism and holism

Ge, Wei; Chen, Feiguo; Gao, Jian; Gao, Shiqiu; Huang, Jin; Liu, Xiaoxing; Ren, Ying; Sun, Qiang; Wang, Limin; Wang, Wei; Yang, Ning; Zhang, Jiayuan; Zhao, Hui; Zhou, Guangzheng

doi:10.1016/j.ces.2007.02.049

Cited by 86 publications

(58 citation statements)

References 103 publications

(118 reference statements)

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“…The results were promising, stimulated us to extend the principle of compromise to more complex systems, including emulsion, granular flow, foam drainage, gas-liquid flow and nanoscale gas-liquid flow. All these extensions were successful [5], indicating that the compromise between competing dominant FIGURE 1. Framework of the EMMS model mechanisms (extremum behaviors) may be a universal principle for all meso-scale problems [5][6][7], and can be formulated as the multi-objective variational (MOV) problem, which gives the possibility to establish a multi-scale paradigm -the EMMS paradigm [8,9].…”

Section: Extended Emms Model To Emms Paradigmmentioning

confidence: 99%

“…All these extensions were successful [5], indicating that the compromise between competing dominant FIGURE 1. Framework of the EMMS model mechanisms (extremum behaviors) may be a universal principle for all meso-scale problems [5][6][7], and can be formulated as the multi-objective variational (MOV) problem, which gives the possibility to establish a multi-scale paradigm -the EMMS paradigm [8,9]. This paradigm features the structural consistency between problem, model, software and hardware.…”

Section: Extended Emms Model To Emms Paradigmmentioning

confidence: 99%

“…Recently, we tested the EMMS principle, the principle of compromise, in even more systems, such as turbulence in general [5], protein folding [12] and material preparation [13]. The results encourage us to propose the concept of meso-science [9,[14][15][16].…”

Section: Exploring Meso-sciencementioning

confidence: 99%

“…Such universalities in physics and mathematics have been analyzed for the three levels of chemical engineering and can be potentially extended to all meso-scales [5,15,16] in different fields, giving the reason for paying attention to meso-science. This common principle of compromise in competition has been detailed [9].…”

Section: Exploring Meso-sciencementioning

confidence: 99%

“…z The establishment of meso-science will hopefully cause a substantial upgrade of the knowledge base of science and technology and its progress will lead to breakthroughs in many fields. z Our confidence on meso-science was originally from the predictability and scalability of the EMMS model in CFD computation [19,20], and intensified by the effectiveness of the principle of compromise in solving different problems [5]. We are not sure whether or not meso-science will be established finally as a general discipline of science, but would be confident that the principle of compromise will make something different in analyzing various mesoscale phenomena at different levels between the elemental particles and the observable universe.…”

Section: Conclusion and Prospectsmentioning

confidence: 99%

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From customized multiscale modeling to general mesoscience – The principle of compromise

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Section: Extended Emms Model To Emms Paradigmmentioning

confidence: 99%

Section: Extended Emms Model To Emms Paradigmmentioning

confidence: 99%

Section: Exploring Meso-sciencementioning

confidence: 99%

Section: Exploring Meso-sciencementioning

confidence: 99%

Section: Conclusion and Prospectsmentioning

confidence: 99%

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From customized multiscale modeling to general mesoscience – The principle of compromise

2013

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Resolution of structure characteristics of AE signals in multiphase flow system—From data to information

Wang

Cao

et al. 2009

AIChE Journal

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This investigation was performed to study the underlying structure characteristics of acoustic emission (AE) signals, which could be helpful not only to understand a relatively complete picture of hydrodynamics in multiphase flow systems, but also to extract the most useful information from the original signals with respect to a particular measurement requirement. However, due to AE signals are made up of emission from many acoustic sources at different scales, the resolution of AE signals is often very complicated and appears to be relatively poorly researched. In this study, the structure characteristics of AE signals measured both in gas-solid fluidized bed and liquid-solid stirred tank were researched in detail by resorting to wavelet transform and rescaled range analysis. A general criterion was proposed to resolve AE signals into three physicalrelated characteristic scales, i.e., microscale, mesoscale, and macroscale. Multiscale resolution of AE signals implied that AE signals in microscale represented totally the dynamics of solid phase and could be applied to measure particle-related properties. Furthermore, based on the structure characteristics of AE signals, useful features related to particles motion were extracted to establish two new prediction models, one for on-line measurements of particle size distribution (PSD) and average particle size in gas-solid fluidized bed and the other for on-line measurement of the suspension height in liquid-solid stirred tank. The prediction results indicated that (1) measurements of PSD and average particle size using AE method showed a fairly good agreement with that using sieve method both for laboratory scale and plant scale fluidized beds, and (2) measurements of the suspension height using AE method showed a fairly good agreement with that using visual method. The results thus validated that the extracted features based on analyses of structure characteristics of AE signals were very useful for establishing effective on-line measurement models with respect to some particular applications.

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PDA measurements in a three‐phase bubble column

Gan

Law

2013

AIChE Journal

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Phase Doppler anemometry was used to quantify the flow characteristic of a three phases (liquid, solid, and bubbles) cylindrical bubble column driven by a point air source made of a 30‐mm diameter perforated air stone centrally mounted at the bottom. The cylindrical bubble column had an inner diameter of 152 mm and was filled with liquid up to 1 m above the point source. Acrylic beads with a nominal diameter of 3 mm were used as the solid phase. To match the density of the solid phase which was 1.05 kg/m3, the liquid density was raised to about 1.0485 kg/m3 by added salt. The bubble diameters generated were within the range of 600–2400 µm. The detailed turbulent characteristics of the liquid‐phase velocity, bubble diameter, bubble velocity, and solid velocity were measured at three different air rates, namely 0.4, 0.8, and 1.2 L/min (corresponding to average gas volume fraction of 0.0084, 0.0168, and 0.0258, respectively) for the homogeneous bubble column regime. With the addition of the solid phase, the flow field was found to be relatively steady compared to the two‐phase column referencing the probability density functions for both the liquid and bubble velocities. An analysis based on the determination of the drag forces and transversal lift forces was performed to examine the flow stability in the three‐phase bubble column. The analysis illustrated that how the added solid phase effectively stabilized the flow field to achieve a steady circulation in the bubble column and a generalized criterion for the flow stability in the three‐phase bubble column was derived. Further investigation for the transition and the heterogeneous bubble column regime with air rates at 2.0 and 4.0 L/min shown that this criterion can also be used as a general prediction of flow stability in this three‐phase bubble column. © 2013 American Institute of Chemical Engineers AIChE J, 59: 2286–2307, 2013

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Analytical multi-scale method for multi-phase complex systems in process engineering—Bridging reductionism and holism

Cited by 86 publications

References 103 publications

From customized multiscale modeling to general mesoscience – The principle of compromise

From customized multiscale modeling to general mesoscience – The principle of compromise

Resolution of structure characteristics of AE signals in multiphase flow system—From data to information

PDA measurements in a three‐phase bubble column

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