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基于T-S模糊模型的HVAS涂层耐磨性能辨识
引用本文:陈彬,刘阁,张贤明,王旭东. 基于T-S模糊模型的HVAS涂层耐磨性能辨识[J]. 特种铸造及有色合金, 2011, 31(6): 520-524. DOI: 10.3870/tzzz.2011.06.009
作者姓名:陈彬  刘阁  张贤明  王旭东
作者单位:重庆工商大学废油资源化技术与装备教育部工程研究中心
基金项目:重庆市教委科技资助项目,重庆市科技攻关重点资助项目
摘    要:针对大型轴类零件的高速电弧喷涂(HVAS)修复的复杂性、非线性和难以用明确数学模型表达的特点,采用模糊C均值聚类算法得出输入空间的划分和聚类中心,最后结合递推最小二乘法辨识后建参数,建立了涂层耐磨性能与喷涂工艺参数的T-S模糊模型。将该辨识算法对实测数据进行了验证,在试验范围内,误差在-8.6%~5.8%之间。结果表明,该T-S辨识模型具有较高的辨识精度及较强的泛化能力。利用所建的模糊辨识结果,分析了喷涂工艺参数对涂层耐磨性能的影响规律,并获得了涂层硬度(HRC)极大值为92.04的最佳喷涂工艺参数。

关 键 词:T-S模糊模型  耐磨性能  C均值聚类  模糊辨识

Identification of Wear Resistance of HVAS (High Velocity Arc Spraying) Coating Based on T-S Fuzzy Model
Chen Bin,Liu Ge,Zhang Xianming,Wang Xudong. Identification of Wear Resistance of HVAS (High Velocity Arc Spraying) Coating Based on T-S Fuzzy Model[J]. Special Casting & Nonferrous Alloys, 2011, 31(6): 520-524. DOI: 10.3870/tzzz.2011.06.009
Authors:Chen Bin  Liu Ge  Zhang Xianming  Wang Xudong
Affiliation:Chen Bin,Liu Ge,Zhang Xianming,Wang Xudong(Engineering Research Center for Waste Oil Recovery Technology and Equipment,Ministry of Education,Chongqing Technology and Business University)
Abstract:Aiming at the characteristics of complexity, non-linear and multi-model of HVAS recovery for large shaft, by using fuzzy C-means clustering algorithm to obtain input space location and the clustering center, T-S model of wear resistance with spraying parameters of the coating was established based on the least square method identifying consequent parameters. The T-S fuzzy model was verified with the experimental data. The results show that the error is in range of -8.6%~5.8% in experimental range. The T-S f...
Keywords:T-S Fuzzy Model  Wear Resistance  Fuzzy C-means  Fuzzy Identification  
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