STATISTICAL CORRELATION FUNCTIONS AND RECONSTRUCTION OF MICRO NANOCOMPOSITES; A REVIEW

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MAHDAVI M.; YOUSEFI E.; BANIASSADI M.

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Journal: MECHANICAL ENGINEERING SHARIF (SHARIF: MECHANICAL ENGINEERING) Year:2018 | Volume:34-3 | Issue:2 Page(s): 31-40

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Title

STATISTICAL CORRELATION FUNCTIONS AND RECONSTRUCTION OF MICRO NANOCOMPOSITES; A REVIEW

Author(s)

MAHDAVI M. | YOUSEFI E. | BANIASSADI M. | Issue Writer Certificate

Keywords

Statistical correlation functionsQ1

polymer nanocompositesQ1

reconstructionQ2

Abstract

N-point correlation functions are used for calculating properties of heterogeneous systems. Power and main advantage of statistical continuum technique is the direct link to statistical information of microstructures. Two-point correlation functions are the lowest order of correlation functions that can describe the relationship between morphology and properties of microstructures. Statisticalpaircorrelationfunctionsareachievedbyscattering electron microscopy or small-angle X-ray scattering experimentally. Higher order correlation functions must be calculated or measured to increase the accuracy statistical continuum approach. Microstructuretwo-pointcorrelationfunctionsarewell-knownclass of statistical descriptors for characterization and reconstructionofheterogeneousmicrostructures. Inthisstudy, a comprehensive review on Statistical correlation functions that are used in micro and nanostructures is done and then, focused on reconstruction of these structures by using numerical and experimental approaches. Description and characterization of heterogeneous systems had high importance for scientists for last decades and di erent approaches have been developed for determining 3D descriptors of heterogeneous systems. Statistical continuum mechanics provided alternative approach for reconstruction and characterization of heterogeneous systems. reconstructionapproacheshavebeenimproved by developing of numerous simulation techniques in recent years. Anisotropic structures, orientation distribution, shape, and geometrical features can be extracted from Statistical correlation functions. 3D reconstruction of microstructures and nanostructures is a new way to investigate the behavior of these structures precisely. In this method the distribution of nanoparticles is determined, and their coordinates are saved which is very helpful for determination of their treatment. Mani different researches have used reconstruction approach to enter their experimental samples to nite element software. Then, by applying the properties of each phase they investigate about di erent behavior of their experimental samples. Depended on samples di erent approaches are used for reconstruction and researches have tried di erent ways to reduce reconstruction error. In this study, di erent approaches are discussed, and the calculation of error is presented.

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APA: Copy

MAHDAVI, M., YOUSEFI, E., & BANIASSADI, M.. (2018). STATISTICAL CORRELATION FUNCTIONS AND RECONSTRUCTION OF MICRO NANOCOMPOSITES; A REVIEW. MECHANICAL ENGINEERING SHARIF (SHARIF: MECHANICAL ENGINEERING), 34-3(2 ), 31-40. SID. https://sid.ir/paper/371391/en

Vancouver: Copy

MAHDAVI M., YOUSEFI E., BANIASSADI M.. STATISTICAL CORRELATION FUNCTIONS AND RECONSTRUCTION OF MICRO NANOCOMPOSITES; A REVIEW. MECHANICAL ENGINEERING SHARIF (SHARIF: MECHANICAL ENGINEERING)[Internet]. 2018;34-3(2 ):31-40. Available from: https://sid.ir/paper/371391/en

IEEE: Copy

M. MAHDAVI, E. YOUSEFI, and M. BANIASSADI, “STATISTICAL CORRELATION FUNCTIONS AND RECONSTRUCTION OF MICRO NANOCOMPOSITES; A REVIEW,” MECHANICAL ENGINEERING SHARIF (SHARIF: MECHANICAL ENGINEERING), vol. 34-3, no. 2 , pp. 31–40, 2018, [Online]. Available: https://sid.ir/paper/371391/en

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