Evaluation of Influence Regarding Control Factors Using Inverse Analysis of Taguchi Methods (Influence Regarding Organic Matter in Control Factors)

Abstract

Recently Taguchi method is used to decide optimum processing conditions with narrow dispersion for robust design. In this method, several control and noise factors are selected and used in the later experiment. Control factors are equal to the design factors. Noise factors are occurred for the error of function on the product. All combinations using all control factors are compressed by an orthogonal table. Then the experiment or the CAE analysis with influence of noise factors is performed by the orthogonal table. At last, the average and the standard deviation regarding all combinations using all parameters are calculated for the SN ratio. Then most of users write the effective figure of the control factors and zealously search the combination of the control factors for large SN ratio. A product using the combination isn't influenced by noise factors. In this study, the new method for evaluation of influence regarding control factors using inverse analysis of the Taguchi methods is developed and evaluated. SN ratio and sensitivity in the final results of the Taguchi methods consist of the average and the standard deviation. The average and the standard deviation regarding each lever of each control factor is calculated using the final results of the Taguchi method. Both the average and the standard deviation have the several influences of the noise factors. Therefore most designer can understand the influence regarding each lever of each control factor under environment of several noise factors. We have made the software and evaluated by the experiment using a paper craft (Kami-koputa). It is concluded from the result that (1) the new method using inverse analysis of the Taguchi methods is developed and (2) the software developed was effective for evaluation of influence regarding control factors.