基于灰关联理论的磁力研磨工艺参数优化
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摘要
采用田口正交法进行试验设计,探究了磁针型号、磁极盘转速和加工磁间距和加工时间对工件表面粗糙度、表面硬度和工件材料去除量的影响。用灰度关联理论法分析实验数据,并计算灰关联系数和灰关联度,得出最佳工艺参数。当磁针型号为?0.5 mm×5 mm,磁极盘转速为2000 r/min,加工磁间距为10 mm,加工时间为30 min时,试验效果最佳。单个工艺参数中,与试验结果关联度最高的是磁针型号,其次是加工时间和加工磁间距,而影响程度最小的是磁极盘转速。经试验验证,在优化后的工艺参数下,各项性能指标,包括工件表面粗糙度、表面硬度和工件材料去除量,均为最佳。
Taguchi orthogonal method was used to carry out experimental design to explore the influence of magnetic needle type,rotating speed of magnetic pole plate,machining magnetic gap and machining time on workpiece surface roughness,surface hardness and workpiece material removal. The experimental data were analyzed by gray correlation theory method,and the gray correlation coefficient and gray correlation degree were calculated to obtain the best technological parameters. When the model of the magnetic needle was ? 0.5 mm× 5 mm,the rotating speed of the magnetic pole plate was 2000 r/min,the processing magnetic spacing was 10 mm,and the processing time was 30 min,the test result was the best. Among the single process parameters,the type of magnetic needle had the highest correlation with the test results,followed by the processing time and processing magnetic spacing,while the rotation speed of the magnetic pole disk had the least influence. The experimental results showed that under the optimized process parameters,various performance indexes were the best,including workpiece surface roughness,surface hardness and workpiece material removal.
Taguchi orthogonal method was used to carry out experimental design to explore the influence of magnetic needle type,rotating speed of magnetic pole plate,machining magnetic gap and machining time on workpiece surface roughness,surface hardness and workpiece material removal. The experimental data were analyzed by gray correlation theory method,and the gray correlation coefficient and gray correlation degree were calculated to obtain the best technological parameters. When the model of the magnetic needle was ? 0.5 mm× 5 mm,the rotating speed of the magnetic pole plate was 2000 r/min,the processing magnetic spacing was 10 mm,and the processing time was 30 min,the test result was the best. Among the single process parameters,the type of magnetic needle had the highest correlation with the test results,followed by the processing time and processing magnetic spacing,while the rotation speed of the magnetic pole disk had the least influence. The experimental results showed that under the optimized process parameters,various performance indexes were the best,including workpiece surface roughness,surface hardness and workpiece material removal.
引文
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[2]王仁智.金属材料的喷丸强化原理及其强化机理综述[J].中国表面工程,2012,25(6):1-9.
[3]陈春增,张桂香,赵玉刚,等.磁力研磨镍基高温合金实验研究[J].电镀与精饰,2016,38(4):6-9
[4]李阔,陈燕,张志超,等.利用交变旋转磁场去除叶片气膜孔毛刺的试验研究[J].航空制造技术,2017,(9):66-70.
[5]扶名福,谢明祥,饶泓,等.基于综合关联度分析的风机故障诊断[J].中国机械工程,2007,18(20):2403-2405.
[6]刘杰,杜忠华,刘荣忠,等.灰度理论与二次规划算法组合模型对LEFP的几何优化[J].火炸药学报,2014,37(2):43-48.
[7]陈爱萍.基于序列关联度的汽轮机高压缸运行参数优化数值模拟[J].科技通报,2017,33(10):125-128.
[8]林云,郜丽鹏.基于灰色关联和证据理论的故障诊断方法[J].电子测量与仪器学报,2009,23(07):68-72.
[9]李韩博,杨明顺,李言,等.灰色关联分析在SPIF表面粗糙度优化中的应用[J].机械科学与技术,2017,36(10):1575-1581.
[10] Ghetiya N D,Pateli K M,Kavar A J. Multi-objective optimization of FSW process parameters of aluminium alloy using Taguchi-based grey relational analysis[J]. Transactions of the Indian Institute of Metals,2016,69(4):917-923.
[11] Deng Julong. Grey entropy and grey target decision making[J]. Journal of Grey System,2010,22(1):1-4.
[12]朱晓翠.基于灰色理论的数控机床可靠性及维修性分析技术[D].吉林:吉林大学,2013.