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Fuzzy logic — A decision making tool for wear rate prediction in aluminum composite

机译：模糊逻辑-铝复合材料磨损率预测的决策工具

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摘要

Industrial automation is the need of the hour. Success and failure of automation depends on the selection and efficient utilization of soft computing tools such as artificial neural network, expert systems, and fuzzy logic. This article explores the idea of constructing a fuzzy logic model to predict wear rate of fabricated composites under predetermined conditions of input variables such as applied load, sliding velocity and distance travelled. Taguchi design of experiments is employed for experimentation. 27 sets of experiments are performed by varying the parameters of applied load, sliding velocity and distance travelled. Experiment is repeated for average values of wear rate are measured to reduce experimental error. Matlab toolbox functions are used to build the model. Confirmatory experiments are done and the results are measured in terms of accuracy and time. It is found that the developed model predicts wear rate with acceptable limit. Hence the constructed model can be forwarded to predict wear rate of the developed composite under different conditions.
机译：工业自动化是小时的需要。自动化的成功与失败取决于对诸如人工神经网络，专家系统和模糊逻辑之类的软计算工具的选择和有效利用。本文探讨了构建模糊逻辑模型的思想，以在预定的输入变量（例如施加的载荷，滑动速度和行进距离）条件下预测复合材料的磨损率。使用田口设计的实验进行实验。通过改变施加载荷，滑动速度和行进距离的参数进行27组实验。重复实验以测量磨损率的平均值，以减少实验误差。 Matlab工具箱功能用于构建模型。完成验证性实验，并根据准确性和时间测量结果。发现开发的模型可以在可接受的极限范围内预测磨损率。因此，可以转发所构建的模型以预测所开发复合材料在不同条件下的磨损率。

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