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首页> 外文会议>International Conference on Materials Engineering and Science >Application of Box Behnken Design to Optimize the Parameters for Kenaf-Epoxy as Noise Absorber
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Application of Box Behnken Design to Optimize the Parameters for Kenaf-Epoxy as Noise Absorber

机译：Box Behnken设计在优化Kenaf-环氧树脂中的应用作为降噪

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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.
机译：该期刊讨论了箱Behnken设计的应用，绘制了keanaf /环氧夹层样品的噪声吸收系数（Nac）的实验，其总体目的是优化密度，厚度，压力和频率。响应表面方法（RSM）已被临时表达输入过程参数选择的屈服参数（反应）。 RSM同样地评估可变输入参数与比较屈服参数之间的连接。建议的Box-Behnken配置需要24个试验，用于确保信息并显示反应表面。软件被利用来规划检查并随机化运行。创建了回归模型，并检查了其能力以预见到所有条件的产量尊重。促进模型是通过执行测试的批准，采用24套输入。通过测试（实际）估计的产量参数与利用该模型的预期尊重匹配。利用设计专家软件，为RSM产生了2D和3D图。这项研究导致确定用于KENAF /环氧夹层样品的优化的噪声吸收参数，以获得最佳NAC。这项工作在最小实验的意义上获得了意义，已经生成了可靠的模型，验证和进一步，该过程已经过优化和生成的数学方程。

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