首页|基于灰色关联分析法的电火花沉积WC-12Co涂层工艺参数优化

基于灰色关联分析法的电火花沉积WC-12Co涂层工艺参数优化

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以WC-12Co为电极,氩气作为保护气体,在FS438 钢表面电火花沉积WC-12Co涂层.选择电压、电容、频率和沉积时间为加工参数,采用正交实验方法进行实验,并对实验结果进行极差分析.对正交实验结果的涂层厚度和表面粗糙度进行无量纲化,计算其关联系数、关联度值,并进行灰色关联分析,最终实现多指标工艺参数的优化.利用光学显微镜,分析工艺参数优化后沉积层的表面形貌.结果表明:对WC-12Co涂层厚度和表面粗糙度影响最大的加工参数为电压和电容.当工艺参数为电压 50 V、电容 120 μF、频率 360 Hz、沉积时间 4 min/cm2 时,所制备的WC-12Co涂层厚度为 55.125 μm,表面粗糙度为 5.073 μm,涂层表面较致密,光洁度较好,该涂层的厚度与表面粗糙度指标综合性能较为良好.
Optimization of Process Parameters of WC-12Co Coating by Electro-spark Deposition Based on Grey Correlation
The WC-12Co was deposited on the surface of FS438 steel with WC-12Co as the electrode and argon gas as the protective gas.Voltage,capacitance,frequency and deposition time were selected as processing parameters,orthogonal experiment method was used to carry out experiments,and range analysis of experimental results were obtained.The coating thickness and surface roughness of the orthogonal experiment results were processed using a dimensionless method,and their correlation coefficients and correlation values were calculated,and then the calculation results were analyzed with gray correlation,and finally the optimization of multi-index process parameters was realized.The surface morphology of the deposited layer prepared under the optimized process parameters was analyzed by optical microscope.The results show that the processing parameters that have the greatest influence on the thickness and surface roughness of the WC-12Co coating are voltage and capacitance.When the process parameters are voltage 50 V,capacitance 120 μF,frequency 360 Hz,and deposition time 4 min/cm2,the thickness of the prepared WC-12Co coating is 55.125 μm,and the surface roughness is 5.073 μm,the surface of the coating is denser and has a better finish.The comprehensive performance of the thickness and surface roughness of the coating is relatively good.

electro-spark depositionWC-12Coprocess parameter optimizationgrey correlation analysis

高磊、王明伟、张文超、王晨曦

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大连工业大学 机械工程与自动化学院,辽宁 大连 116034

电火花沉积 WC-12Co 工艺参数优化 灰色关联分析法

辽宁"百千万人才工程"培养经费资助项目辽宁省自然科学基金指导计划项目

辽百千万立项[2017]88号201602056

2024

热加工工艺
中国船舶重工集团公司热加工工艺研究所 中国造船工程学会船舶材料学术委员会

热加工工艺

CSTPCD北大核心
影响因子:0.55
ISSN:1001-3814
年,卷(期):2024.53(12)
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