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Use of fuzzy logic for modeling the growth of Fe2B boride layers during boronizing

机译:使用模糊逻辑对渗硼过程中Fe2B硼化物层的生长进行建模

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In this study, the evaluation of the phase Fe2B growth in AISI 1045 steel during paste boronizing was carried out. Fuzzy logic Mamdani and Takagi-Sugeno methods were used as the technical model. The experimental procedure was performed in a solid paste medium, at temperatures range of 11931273 K; for 2, 4 and 6 h; and modifying the boron potential (paste thickness) at the metal surface. Membership functions were proposed for fuzzification and defuzzification of the input and output values. The system structure utilized was based on two membership functions for the input (time and paste thickness), and one for the output (layer growth). Comparing the results, given by the fuzzy logic system with experimental data, the medium error generated from the Mamdani method was 2.61%, and from the Takagi-Sugeno was 3.62%. It is concluded that the technique of fuzzy logic is an alternative for modeling the growth of borided phases. (c) 2006 Elsevier B.V. All rights reserved.
机译:在这项研究中,对AISI 1045钢在糊化渗硼过程中的Fe2B相生长进行了评估。技术模型采用模糊逻辑Mamdani和Takagi-Sugeno方法。实验过程在固体糊状介质中进行,温度范围为11931273 K;持续2、4和6小时;并修改金属表面的硼势(糊料厚度)。提议使用隶属度函数对输入和输出值进行模糊化和去模糊化。所使用的系统结构基于输入的两个隶属函数(时间和糊的厚度),以及输出的一个隶属函数(层的生长)。将模糊逻辑系统给出的结果与实验数据进行比较,Mamdani方法产生的介质误差为2.61%,Takagi-Sugeno方法产生的介质误差为3.62%。结论是,模糊逻辑技术是一种用于模拟硼化相增长的替代方法。 (c)2006 Elsevier B.V.保留所有权利。

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