基于混沌Duffing振子的表面粗糙度监测方法
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摘要
表面粗糙度是评价产品精度和进行零件设计的重要指标。近年来工件表面粗糙度的监测受到国内外研究者的广泛关注。文中针对实际切削过程中许多参数难以准确获得的问题,在混沌Duffing振子微弱周期信号检测与估计方法的基础上,提出基于Duffing振子的工件表面粗糙度监测方法。实验切削系统的现场数据处理结果验证了该方法的有效性。
Surface roughness is an important criterion in evaluating the product accuracy and predicting the capability of machining performance. The study of surface roughness has been paid more attentions by the national and international researchers presently. According to the problem of hard-to-obtain so many parameters in real cutting processes, by using the weak periodic signal detection and estimation method based on the duffing oscillator, a roughness monitoring method of workpiece is proposed in this paper. Experimental results based on the on-site data from an experimental cutting system show the effectiveness of the proposed approach.
Surface roughness is an important criterion in evaluating the product accuracy and predicting the capability of machining performance. The study of surface roughness has been paid more attentions by the national and international researchers presently. According to the problem of hard-to-obtain so many parameters in real cutting processes, by using the weak periodic signal detection and estimation method based on the duffing oscillator, a roughness monitoring method of workpiece is proposed in this paper. Experimental results based on the on-site data from an experimental cutting system show the effectiveness of the proposed approach.
引文
[1]王素玉,赵军,艾兴,吕志杰.高速切削表面粗糙度理论研究综述[J].机械工程师,2004(10):3-5.
[2]Wang X,Feng Jack C X.Development of Empirical Models for Surface Roughness Prediction in Fish Turning[J].Int.J.Adv.Manuf.Tech.,2002,20(5):348-356.
[3]Kohli A,Dixit U S.A neural-network-based methodology for the prediction of surface roughness in a turning process[J].Int.J.Adv.Manuf.Tech.,2005,25(1-2):118-129.
[4]Lo S P.An adaptive-network based fuzzy inference system for prediction of workpiece surface roughness in end milling[J].J.Materials Processing Tech.,2003,142:665-675.
[5]BirxDL,PipenbergSJ.Chaotic oscillators and complexmapping feed forward networks(CMMFFNS)for signal detection in noisy environments[C]//IEEE International Joint Conference on Neural Networks,1992,2:881-888.
[6]李月,杨宝俊,赵雪平,等.检测地震勘探微弱同相轴的混沌振子算法[J].地球物理学报,2005,48(6):1428-1433.
[7]Wen Quan,WangShuxun,Zhu Kaiyan.The application ofchaotic oscillators to digital watermarking detection[C]//IEEE Int.Conf.Neural Networks&Signal Processing,Nanjing,China,2003:1513-1516.
[8]尚秋峰,杨以涵,李士林,等.Duffing振子信号检测方法用于配电网单项故障接地保护[J].电力系统自动化,2004,28(13):64-68.
[9]李香莲.汽车微弱振动信号的混沌振子识别[J].应用力学学报,2005,22(4):628-632.
[10]李月,杨宝俊.混沌振子检测引论[M].北京:电子工业出版社,2004,52-55.
[11]李月,李宝俊,石要武.色噪声背景下微弱正弦信号的混沌检测[J].物理学报,2003,52(3):526-530.
[12]Wang Guanyu,Zheng Wei,He Sailing.Estimation of amplitude and phase of a weak signal by using the property of sensitive dependence on initial conditions of a nonlinear oscillator[J].Signal Processing,2002,82:103-115.
[13]路鹏,李月.微弱正弦信号幅值混沌检测的一种改进方案[J].电子学报,2005,3:527-529.
[14]艾兴,等.高速切削加工技术[M].北京:国防工业出版社,2003.
[2]Wang X,Feng Jack C X.Development of Empirical Models for Surface Roughness Prediction in Fish Turning[J].Int.J.Adv.Manuf.Tech.,2002,20(5):348-356.
[3]Kohli A,Dixit U S.A neural-network-based methodology for the prediction of surface roughness in a turning process[J].Int.J.Adv.Manuf.Tech.,2005,25(1-2):118-129.
[4]Lo S P.An adaptive-network based fuzzy inference system for prediction of workpiece surface roughness in end milling[J].J.Materials Processing Tech.,2003,142:665-675.
[5]BirxDL,PipenbergSJ.Chaotic oscillators and complexmapping feed forward networks(CMMFFNS)for signal detection in noisy environments[C]//IEEE International Joint Conference on Neural Networks,1992,2:881-888.
[6]李月,杨宝俊,赵雪平,等.检测地震勘探微弱同相轴的混沌振子算法[J].地球物理学报,2005,48(6):1428-1433.
[7]Wen Quan,WangShuxun,Zhu Kaiyan.The application ofchaotic oscillators to digital watermarking detection[C]//IEEE Int.Conf.Neural Networks&Signal Processing,Nanjing,China,2003:1513-1516.
[8]尚秋峰,杨以涵,李士林,等.Duffing振子信号检测方法用于配电网单项故障接地保护[J].电力系统自动化,2004,28(13):64-68.
[9]李香莲.汽车微弱振动信号的混沌振子识别[J].应用力学学报,2005,22(4):628-632.
[10]李月,杨宝俊.混沌振子检测引论[M].北京:电子工业出版社,2004,52-55.
[11]李月,李宝俊,石要武.色噪声背景下微弱正弦信号的混沌检测[J].物理学报,2003,52(3):526-530.
[12]Wang Guanyu,Zheng Wei,He Sailing.Estimation of amplitude and phase of a weak signal by using the property of sensitive dependence on initial conditions of a nonlinear oscillator[J].Signal Processing,2002,82:103-115.
[13]路鹏,李月.微弱正弦信号幅值混沌检测的一种改进方案[J].电子学报,2005,3:527-529.
[14]艾兴,等.高速切削加工技术[M].北京:国防工业出版社,2003.
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