Application of Box Behnken Design to Optimize the Parameters for Kenaf-Epoxy as Noise Absorber

Abstract

This journal discusses the application of Box Behnken design to plot the experiments to find the Noise Absorption Coefficient (NAC) for Kenaf/Epoxy sandwich sample with an overall objective of optimizing the density, thickness, pressure and frequency. Response Surface Methodology (RSM) has been embraced to express the yield parameters (reactions) that are chosen by the input procedure parameters. RSM likewise evaluates the connection between the variable input parameters and the comparing yield parameters. The proposed Box-Behnken configuration requires 24 trial of run for information securing and displaying the reaction surface. Software’s were utilized to plan the examination and randomize the runs. Regression model was created and its capability was checked to foresee the yield esteems at about all conditions. Facilitate the model was approved by performing tests, taking 24 sets of inputs. The yield parameters estimated through tests (actual) are in great match with the anticipated esteems utilizing the model. Utilizing Design Expert software, 2D and 3D plots were produced for the RSM evolved. This research resulted in ascertaining the optimised set of noise absorber parameters for Kenaf/Epoxy sandwich sample, to get the optimum NAC. This work gains significance in the sense with minimum number of experiments, reliable model has been generated, validated and further, the process has been optimised and mathematical equation generated.