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Fuzzy neural network analysis on gray cast iron with high tensile strength and thermal conductivity 被引量:1

Fuzzy neural network analysis on gray cast iron with high tensile strength and thermal conductivity
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摘要 To develop a high performance gray cast iron with high tensile strength and thermal conductivity, multivariable analysis of microstructural effects on properties of gray cast iron was performed. The concerned parameters consisted of graphite content, maximum graphite length, primary dendrite percentage and microhardness of the matrix. Under the superposed influence of various parameters, the relationships between thermal conductivity and structural characteristics become irregular, as well as the effects of graphite length on the strength. An adaptive neuro-fuzzy inference system was built to link the parameters and properties. A sensitivity test was then performed to rank the relative impact of parameters. It was found that the dominant parameter for tensile strength is graphite content, while the most relative parameter for thermal conductivity is maximum graphite length. The most effective method to simultaneously improve the tensile and thermal conductivity of gray cast iron is to reduce the carbon equivalent and increase the length of graphite flakes. To develop a high performance gray cast iron with high tensile strength and thermal conductivity,multivariable analysis of microstructural effects on properties of gray cast iron was performed. The concerned parameters consisted of graphite content,maximum graphite length,primary dendrite percentage and microhardness of the matrix. Under the superposed influence of various parameters,the relationships between thermal conductivity and structural characteristics become irregular,as well as the effects of graphite length on the strength. An adaptive neuro-fuzzy inference system was built to link the parameters and properties. A sensitivity test was then performed to rank the relative impact of parameters. It was found that the dominant parameter for tensile strength is graphite content,while the most relative parameter for thermal conductivity is maximum graphite length. The most effective method to simultaneously improve the tensile and thermal conductivity of gray cast iron is to reduce the carbon equivalent and increase the length of graphite flakes.
出处 《China Foundry》 SCIE 2019年第3期190-197,共8页 中国铸造(英文版)
关键词 HIGH performance GRAY CAST iron fuzzy NEURAL network TENSILE strength thermal CONDUCTIVITY high performance gray cast iron fuzzy neural network tensile strength thermal conductivity
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