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Taguchi method based on large-scale forging microstructure robust parameter control method

Index values can be obtained by numerical simulation of microstructure and its signal to noise ratio performance evaluation index value were listed in Table 2, the first 6,[link widoczny dla zalogowanych],7, Table 3 for the signal to noise ratio of the average effect of the response, and that in Figure 1. Table 3S / N level of the average effect of response Tab3Averageeffectresponsefors/Nratio1 HfD, plant △ 1-43.17 - 42.67-47.91 - 48.732-47.04-45.7O - 46.18-46. 6O3-5O. 31-52.17-46.44-45.2O a minimum 7.149.5O1.733.53 ranking 2143-44 the largest one-48Z ∽-50-52H} Dy △ chu \ \ Guangzhou, lZ3lZ3lZ3lZ3 Figure 1s / N average effect diagram Fig. 1AverageeffectdiagramofS/Nratio2.2ANOVA number of studies in the effects of various factors, the analysis of variance (ANOVA). Comparison of variance ANOVA factors were significant differences between question, the use of various factors and partition the total sum of squares deviation, calculate the contribution of each factor t snapped. The average SNR for the total Li a 1Σ (S / N) (6) i-1 where a few bogey - Orthogonal total number of tests in the list (S / N) - the letter i-tests noise ratio for the total sum of squares and SS a Σ ((s / N) a) z (7)-l i-factor of the sum of squares and three SSi a × ((S / N)-S / N) . (8) J-1 where z - number of factor levels (this article l3) - i-factor test in the number of J levels (S / N) - i-factor in the average level of the letter J than the first i factors noise contribution rate P (): × 100 (9) calculated the contribution of each factor in Table 4, from which we can see the influence of the microstructure in order was: initial forging temperature, T, stock height to diameter ratio H / D, reduction rate combined △, hit the speed forging die, and the initial forging temperature T and the blank diameter ratio H / D effects on the microstructure and the contribution rate reached 9O%, while combination of rolling reduction, etc. SHANGHAI FOR 4: Based on the Taguchi method of large forging microstructure robust parameter control method 97Ah and forging dies of beating rate on the microstructure and the contribution rate is only 10. Table 4S / N ratio analysis of variance Tab. 4AnalysisofvarianceforS/Nratio3 optimal combination forecasting and verification From Figure 1, H / D, T,[link widoczny dla zalogowanych],, the level of 1,1,2,1 were taken,[link widoczny dla zalogowanych], the height to diameter ratio of 1,[link widoczny dla zalogowanych], initial forging temperature of 980 ~ C, forging die hit speed of 300mm / s, the amount of combined reduction of 70 +30, the microstructure optimal performance. Levels in the optimal parameter combination of conditions,[link widoczny dla zalogowanych], the microstructure of a performance evaluation predictive value (can) 1 + I1 170.9 +143.9-260.117-54.683 eleven (10) where (H / D ) - Table 2 levels of height to diameter ratio of a microstructure of the average performance index T - Table 2, initial forging temperature 1 level Performance Evaluation of Microstructure average of M in Table 2 Microstructure of a Performance Evaluation the average level of the optimal combinations of parameters to simulate the microstructure Performance Evaluation by the actual value of M-56.987, the relative error × lO0 a × lO0 a 4.04 meet the engineering requirements. Optimized distribution of grain size shown in Figure 2. 96.2 Pan weak after optimization Figure 2 Distribution of grain size Fig. By forging simulation 2Distributionofgrainsizeafteroptimization4 Conclusion large forging microstructure given performance index, signal to noise ratio by Taguchi method to analyze and find the optimal parameter level combination, the height to diameter ratio of 1:1, the initial forging temperature of 980 ℃, forging Die hit speed 300mm · S, the amount of combined reduction of 70 +30; by analysis of variance showed that initial forging temperature T and the blank diameter ratio H / D a great influence on the microstructure, and the contribution rate of 90, while the pressure the amount of combinations and forging dies under the blows of speed on the microstructure smaller contribution rate and only 10; virtual test verified that the test value in good agreement with the predicted values. Optimization results to control the microstructure of large forgings have some guidance. This method can be applied to complex forging process design. [1] [2] [3] [4] [5] [6] [7] [8] [9] E1o] E11] References 7l5 hug fog analogy - RU device

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