Literature DB >> 33670233

Review about the Application of Fractal Theory in the Research of Packaging Materials.

Qingshan Duan1,2, Jiejie An1,2, Hanling Mao3, Dongwu Liang1,2, Hao Li1,2, Shuangfei Wang1,2, Chongxing Huang1,2.   

Abstract

The work is intended to summarize the recent progress in the work of fractal theory in packaging material to provide important insights into applied research on fractal in packaging materials. The fractal analysis methods employed for inorganic materials such as metal alloys and ceramics, polymers, and their composites are reviewed from the aspects of fractal feature extraction and fractal dimension calculation methods. Through the fractal dimension of packaging materials and the fractal in their preparation process, the relationship between the fractal characteristic parameters and the properties of packaging materials is discussed. The fractal analysis method can qualitatively and quantitatively characterize the fractal characteristics, microstructure, and properties of a large number of various types of packaging materials. The method of using fractal theory to probe the preparation and properties of packaging materials is universal; the relationship between the properties of packaging materials and fractal dimension will be a critical trend of fractal theory in the research on properties of packaging materials.

Entities:  

Keywords:  fractal dimension; fractal theory; packaging materials; preparation; property

Year:  2021        PMID: 33670233     DOI: 10.3390/ma14040860

Source DB:  PubMed          Journal:  Materials (Basel)        ISSN: 1996-1944            Impact factor:   3.623


  1 in total

1.  A Recurrent Neural Network-Based Method for Dynamic Load Identification of Beam Structures.

Authors:  Hongji Yang; Jinhui Jiang; Guoping Chen; M Shadi Mohamed; Fan Lu
Journal:  Materials (Basel)       Date:  2021-12-18       Impact factor: 3.623

  1 in total

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