摘要(英) |
This passage discusses the sampling methods for data collection and applies Taguchi analysis with three levels of the quality factor to investigate the significance of the sampling methods on the tooth filling rate and maximum forming torque parameters of formed screw holes. To reduce the effects of random factors, the data for the maximum forming torque are filtered using the concept of a normal distribution in repeated experiments. Three sampling methods are proposed: selecting one set of experiments, nine sets of experiments, and four sets of experiments with the minimum standard deviation. The tooth filling rate measurement is related to the sampling methods and is an important indicator for evaluating the quality of the screw holes. Three sampling methods, namely, four teeth, left teeth, and right teeth, are used as the basis for calculating the tooth filling rate. By comparing the differences in tooth filling rate calculations, the eccentricity of the formed screw holes can also be understood. The study employs the L_27(3^4) orthogonal array for Taguchi analysis. Based on the desired characteristics of the response values, different formulas are used to define the signal-to-noise ratio (S/N) as an indicator of quality evaluation. Analyzing the effects of the quality factors on the signal-to-noise ratio provides the optimal conditions for optimization and the effect of each quality factor on the response values can be observed by plotting the effects of the quality factors on the signal-to-noise ratio. Finally, to investigate whether the sampling methods also affect the effects of the quality factors on the quality characteristics (i.e., experimental response values), the sampling methods are considered as an independent parameter. The L_27(3^3) orthogonal array is used to reconfigure the data from the formed screw hole experiments for Taguchi analysis and discussion. From the signal-to-noise ratio effects plot, it can be observed that the sampling methods lead to visible differences in the slope of each segment between different levels. This indicates that the sampling methods indeed affect the extent of the effects of the quality factors on the signal-to-noise ratio. |
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