2021
DOI: 10.3390/fib9010006
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Techniques for Modelling and Optimizing the Mechanical Properties of Natural Fiber Composites: A Review

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 propertie… Show more

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Cited by 47 publications
(27 citation statements)
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“…e test specimens were prepared as per the L27 Design of Experiments (Doe), and mechanical and thermal characteristics tests were performed as described in the earlier sections. e output responses (data from Table 5), i.e., flexural strength, flexural modulus, and storage modulus were first converted into a signal to noise ratio based on the following first equation, and the percentage of mass loss was determined by the next equation [44,45]:…”
Section: Comparisonmentioning
confidence: 99%
“…e test specimens were prepared as per the L27 Design of Experiments (Doe), and mechanical and thermal characteristics tests were performed as described in the earlier sections. e output responses (data from Table 5), i.e., flexural strength, flexural modulus, and storage modulus were first converted into a signal to noise ratio based on the following first equation, and the percentage of mass loss was determined by the next equation [44,45]:…”
Section: Comparisonmentioning
confidence: 99%
“…In recent times, there has been an exponential rise in processing capacity, which is being complemented with improved algorithms. Using such methods in conducting analytical analyses, several researchers in various disciplines have met advanced design criteria [43][44][45]. These modeling and optimization strategies have addressed the issues in physical complexity that are commonly faced in scientific and engineering research [44,46].…”
Section: Introductionmentioning
confidence: 99%
“…Computational techniques have become an important tool to model, analyze, and optimize the parameters/characteristics that affect the properties of natural FRP composites. Mulenga et al [22] reviewed various computational tools including support vector machines, decision trees, K-means, K-nearest neighbor, Naive Bayes, and artificial neural networks (ANNs). Kumar et al [23] studied the machining characteristics of natural abaca, hemp, and Mudar fibre particle-reinforced polymer composite using the ANN.…”
Section: Introductionmentioning
confidence: 99%