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A Fuzzy Logic Based Model to Predict MRR in Flashing Operation of Precision Steel Ball Manufacturing Process

机译:基于模糊的基于模型的模型,以预测精密钢球制造工艺闪光运行MRR

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Bearing balls are special highly spherical and smooth balls, most commonly used in ball bearings. Applications of Steel balls are widely in critical aeronautical bearings, guidance system balls for space and military applications, precision valves, automotive bearings and other applications where higher precision & smoothness is required. To investigate the effect of various input parameters during flashing operation experiments are performed. Here input variables are Pressure between two plates, No. of Grooves in plates & RPM of Ring Plate. Each factor varies at two levels; the design is 2~3 factorial design which requires 8 runs to complete all the possible combinations. Here MRR is consider as response. A fuzzy model is developed to predict the MRR in context of these input parameters. Fuzzy model uses fuzzy expert rules, triangular membership function and centroid area method for defuzzyfication process using MATLAB fuzzy logic tool box. The result shows minimum error is 1.2 % and maximum error is 9.2 % of the fuzzy model, it shows that the fuzzy model can effectively predict the MRR for decided range of input parameters.
机译:轴承球是特殊的高度球形和光滑的球,最常用于滚珠轴承。钢丸的应用广泛在临界航空轴承中,用于空间和军用应用的引导系统球,​​精密阀,汽车轴承等应用,需要更高的精度和平滑度。为了研究各种输入参数在闪蒸操作期间的效果进行了执行。这里输入变量是两个板之间的压力,板材板的凹槽数量和环板的RPM之间的压力。每个因素在两个级别变化;该设计是2〜3个因素设计,需要8次运行以完成所有可能的组合。这里MRR被认为是响应。开发了一种模糊模型来预测这些输入参数背景下的MRR。模糊模型采用MATLAB模糊逻辑工具盒进行了模糊专家规则,三角员工函数和质心区域方法,用于除尘过程。结果显示最小误差为1.2%,最大误差是9.2%的模糊模型,表明模糊模型可以有效地预测用于确定的输入参数范围的MRR。

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