Poissondistribution:Howtensilepropertiesofparticulatepolymercompositesare enhanced in a Poisson-motivated Taguchi method

Engineering and Applied Science Research

关键词: Composite blends;    Tensile properties;    Curing regimes;    Taguchi optimization process;    Poisson distribution;   

DOI  :  10.14456/easr.2019.16

来源: DOAJ

【 摘 要 】

This paper examines how the Poisson distribution is being used to model thetensile properties of selected particulate reinforced polymer composites. While past studies have shown that the Taguchi method provides robust optimized composites forcost andmaximumwastesreinforcementutilization,thelinkbetweenoptimisationandparticulateswithanindefinitelylarge number of trials to optimize has not been overtly revealed. This paper proposes a Poisson distribution to obtain the probability of each tensile property occurring independently at a fixed rate within the Taguchi schemeto address this issue. These were used as factor-levelsinaPoisson-motivated Taguchi optimisation process and tested on five different composite blends of a dual reinforcement and epoxy resin matrix. The composites were treated under variouscuring regimes (80, 100, 120 oC). Based onthetensilepropertiesofextension,load,strainandstress,theTaguchimethodyieldedanoptimalparametricsettingof A4B1C4D4for the orange peel/coconut, palm kernel/coconut and periwinkle egg shell composites, while optimal parametric settingsofA4B1C4D1andA4B1C4D2wereobtainedfortheorangepeel/periwinkleandpalmkernel/eggshellcomposites,respectively. The Poisson motivated-Taguchi optimisation yielded optimal parametric settings of A1-2,B1-2,C1D4, A1-2,B1-2,C1,D1,4, A1-2,B1-2,C1,D1,4, A1-2,B1-2,C1,D1,4and A1-2,B1-2,C1,D1,4, respectively,for orange peel/coconut, palm kernel/coconut,periwinkle/egg,orangepeel/periwinkleandpalmkernel/eggshellblends.Hence,thereisapossibilityof obtaining more than one factor level asanoptimum condition. Overall, by analyzing the role ofthePoisson distribution to enhance the tensile properties of selected polymer composites, our model departs from existing views of Taguchi optimisation methods and shedsnovel light on optimisation enhancement.

【 授权许可】

Unknown