Abstract
The study of natural fiber-based composites through the use of computational techniques for modelling and optimizing their properties has emerged as a fast-growing approach in recent years. Ecological concerns associated with synthetic fibers have made the utilisation of natural fibers as a reinforcing material in composites a popular approach. Computational techniques have become an important tool in the hands of many researchers to model and analyze the characteristics that influence the mechanical properties of natural fiber composites. This recent trend has led to the development of many advanced computational techniques and software for a profound understanding of the characteristics and performance behavior of composite materials reinforced with natural fibers. The large variations in the characteristics of natural fiber-based composites present a great challenge, which has led to the development of many computational techniques for composite materials analysis. This review seeks to infer, from conventional to contemporary sources, the computational techniques used in modelling, analyzing, and optimizing the mechanical characteristics of natural fiber reinforced composite materials.
Highlights
The world has witnessed an exponential growth in computational power coupled with improved algorithms in the past two decades
Researchers in the field of material science are exploring the utilization of these computational methods to model and optimize the different characteristics of composite materials reinforced with natural fibers with the aim of potentially replacing the synthetic fibers because of sustainability issues and environmental aspects
Poor properties associated with natural fibers, such as high water absorption, poor bonding, low durability, as well as low mechanical and thermal properties when compared to synthetic fibers limit their industrial applications [13,14,15,16,17]
Summary
The world has witnessed an exponential growth in computational power coupled with improved algorithms in the past two decades To this end, researchers from different backgrounds are implementing the available computational methods to carry out analytical studies to achieve advanced design requirements. Researchers in the field of material science are exploring the utilization of these computational methods to model and optimize the different characteristics of composite materials reinforced with natural fibers with the aim of potentially replacing the synthetic fibers because of sustainability issues and environmental aspects. Numerous methods have been developed to overcome these limitations which include fiber treatment, addition of nano-fillers and hybridization The adoption of these methods in recent years to develop natural fiber composite (NFC) materials has widened their area of application including structural, household, aerospace, sporting, automobile, and other industrial applications [2,14,18,19,20,21,22]. The hardness, tensile strength, wear rate, impact strength, elasticity, and fatigue are some of the known composite material properties modeled and optimized [35,36,37,38,39,40,41,42,43]
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