the same trial condition, it captures variation in results due to experimental set up. Example: A number of factors are identified for an optimization study. - Time available is two weeks during which only 25 tests can be run. - Three repetitions for each trial condition is desired. - ...
The most significant factors can be determined by the larger differences in the S/N ratio. The experimental results indicated that factor C2_F has a noticeable delta value of 0.76%, meaning that factor C2_F is the most significant parameter in the model response. In terms of the importance,...
The RSM outperformed the Taguchi method in accurately predicting response values with minimum prediction error under optimal conditions. Keywords: bearing life; ethylene–vinyl acetate; optimization; response surface methodology; Taguchi method1. Introduction Plastic production has become a significant focus ...
5.1. Parametric Optimization On the basis of the second-order quadratic mathematical model of the responses developed in the previous sections via Equations (1) and (2), the independent desirability functions d1 and d2 for minimum dimensional deviation and minimum surface irregularity, respectively, ...
The value of η should be positive, but if it is negative, it automatically turns to zero, meaning that the relationship between input and output is no longer significant. An integrated result is obtained by weighting it with SNR, which is the estimated measure of precision of each parameter...
According to the reasoning process of the traditional method, if the characteristic matrix is transposed, meaning if duration is considered as the primary evaluation criterion, this method should be equivalent to the original method [25]. However, as is shown in Table 6, the results show that ...
Since the speed threshold in the starting process, electro-hydraulic ratio, and speed threshold in the braking process have a huge effect on the simulation results, the Taguchi method is optimized for the above five parameters. Each parameter is taken as 5-factor levels. The meaning of each ...