The Role of Artificial Neural Networks in Prediction of Mechanical and Tribological Properties of Composites—A Comprehensive Review

Strength prediction and progressive damage analysis of carbon fiber reinforced polymer-laminate with circular holes by an efficient Artificial Neural Network

A review on natural fibers and mechanical properties of banyan and banana fibers composites

Indonesia is one of countries with the potential for abundant natural resources, especially natural fibers. The potential of Indonesian natural fibers abundant is not fully put to good use to increase social welfare. One of the natural fibers that have the potential to be developed is the banana fiber. Banana fiber has potential in abundance and can be developed as a biocomposite material that is strong, inexpensive, environmentally friendly, and can be recycled. This study aims to produce a tensile strength of Banana Fiber Reinforced Epoxy Composite Materials (BFRECM). Testing of the tensile strength refers to the ASTM D 3039 / D3039M. Based on the research results, obtained the tensile strength of BFRECM (62.3 ± 0.67) MPa and modulus of elasticity (8.72 ± 1.12) GPa. Tensile strength obtained will be referred for further study of natural fiber composites

Tensile Strength of Banana Fiber Reinforced Epoxy Composites Materials

A material-independent deep learning model to predict the tensile strength of polymer concrete

This paper deals with the testing of tensile and flexural behaviour of epoxy-reinforced natural fibre composites, for which Banyan fibres have been selected as the natural fibre. Variations are mad...

Mechanical behaviour and microscopic analysis of epoxy and E-glass reinforced banyan fibre composites with the application of artificial neural network and deep neural network for the automatic prediction of orientation:

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Mechanical behaviour and microscopic analysis of epoxy and E-glass reinforced banyan fibre composites with the application of artificial neural network and deep neural network for the automatic prediction of orientation: