MECHANICAL PROPERTIES OF SHORT ROSELLE AND SISAL FIBER HYBRID POLYESTER COMPOSITE: MODELING AND OPTIMIZATION COATING WITH TAGUCHI APPROACH
Keywords:
Natural fibers, Polymer-matrix composites, Mechanical Properties, Nuero - Fuzzy, Genetic AlgorithmAbstract
The modeling and optimization techniques are becoming more popular in engineering design activities because of the availability and affordability of high-speed computers. In this present contribution, a new attempt was made to predict and optimize the mechanical properties of short roselle and sisal fiber hybrid polyester composite using Neuro-fuzzy modeling and Genetic algorithm method. The better mechanical properties with optimum fabrication parameters were obtained by using single objective optimization method of Genetic Algorithm (GA). The mechanical properties of the natural fiber hybrid polyester composite can be predicted and optimized using Neuro-Fuzzy modeling as a potential modeling technique and Genetic algorithm within the ranges of fabrication parameters.
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