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Investigation of Delamination Factor in High Speed Drilling on Chopped GFRP using ANFIS

机译:使用ANFIS对切碎GFRP高速钻探分层因子的研究

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High speed machining is a key method to increase the productivity and reduce the cost during manufacturing. Delamination is a prevalent disadvantage while drilling of composites. Full factorial design (FFD) was used to evaluate delamination factor (DF) by studying process parameters. DF was evaluated with an influence of process parameter during the drilling of composites such as, cutting speed, depth of cut and feed rate. For determination of significance of each process parameters analysis of variance (ANOVA) was studied with their influence on process parameters. Adoptive neuro fuzzy interface system (ANFIS) models were developed to predict delamination factor as a function of different combination of machining parameters. Comparison of experimental DF with the predicted ANFIS model was carried out. After comparing the experimental results with the predicted results it is found that the root means square error (RMS) at DF at entry and exit are1.4732% and 2.9277% respectively.
机译:高速加工是一种提高生产率并降低制造期间成本的关键方法。分层是一种普遍的缺点,同时钻孔复合材料。完整的因子设计(FFD)用于通过研究过程参数来评估分层因子(DF)。在钻孔期间,通过工艺参数的影响评估DF,例如切割速度,切割速度,切割深度和进料速率。为了确定各种过程参数的重要性,研究了方差分析(ANOVA)的影响,其对工艺参数的影响研究。采用了神经模糊界面系统(ANFIS)模型是开发的,以预测分层因子作为加工参数不同组合的函数。进行了实验性DF与预测的ANFI模型的比较。将实验结果与预测结果进行比较后,发现进入的DF处的根部误差(RMS)分别为1.4732%和2.9277%。

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