基于多信息集成的数控加工进度提取方法研究
|
摘要
为了提高数控加工进度的控制能力,提出了基于多信息集成的数控加工进度提取方法。首先通过构建数控加工进度信息流模型,分析数控加工进度信息的统计特征量,结合统计回归分析模型进行进度特征调度。然后采用数控加工样本特征采集方法进行原始进度信息的采集,依据采集信息构建统计分析模型,采用多源信息结构重组方法对进度信息进行集成,提取进度信息的谱特征量。最后根据提取结果融合信息,采用多信息集成方法进行进度信息调度,实现数控加工进度的提取。仿真结果表明,采用该方法进行数控加工进度提取的自适应性能较好,特征分辨能力较强,提高了数控加工进度控制能力。
In order to improve the control ability of NC machining progress, schedule extraction method of NC machining based on multi-information integration was put forward. First, NC machining progress information flow model was constructed to analyse the statistical characteristics of NC machining progress information, and combined with the feature of statistical regression analysis model, to schedule the progress. Then the NC machining sampling characteristics method was used for the original schedule information collection, bsed on which statistical analysis model was established. The multi-source information restructuring method was carried out on the progress of the information integration to extract the spectral characteristics of progress information. At last, according to the fusion of information extraction, information integration method was used to schedule information and realize the extraction of NC machining schedule. The simulation results show that the adaptive performance of the method is better, and the feature resolution is stronger.
In order to improve the control ability of NC machining progress, schedule extraction method of NC machining based on multi-information integration was put forward. First, NC machining progress information flow model was constructed to analyse the statistical characteristics of NC machining progress information, and combined with the feature of statistical regression analysis model, to schedule the progress. Then the NC machining sampling characteristics method was used for the original schedule information collection, bsed on which statistical analysis model was established. The multi-source information restructuring method was carried out on the progress of the information integration to extract the spectral characteristics of progress information. At last, according to the fusion of information extraction, information integration method was used to schedule information and realize the extraction of NC machining schedule. The simulation results show that the adaptive performance of the method is better, and the feature resolution is stronger.
引文
[1]徐璐,柯世堂.大型冷却塔自振频率估算方法及拟合优度分析[J].哈尔滨工业大学学报,2018(12):193-198.
[2]魏仁超,陈学东,范志超,等.FV520B钢在湿H2S+Cl-环境中的腐蚀疲劳性能[J].机械工程学报,2018(14):43-49.
[3]WU Q G,CHEN X D,FAN Z C,et al.Corrosion fatigue behavior of FV520B steel in water and salt-spray environments[J].Engineering Failure Analysis,2017,79:422-430.
[4]GUO Qiang,GUO Xinglin.Research on high-cycle fatigue behavior of FV520B stainless steel based on intrinsic dissipation[J].Materials & Design,2016,90:248-255.
[5]ZHANG Ming,WANG Weiqiang,WANG Pengfei,et al.The fatigue behavior and mechanism of FV520B-I with large surface roughness in a very high cycle regime[J].Engineering Failure Analysis,2016,66:432-444.
[6]张元良,李瑞品,王金龙,等.基于两种不同缺陷形式的FV520B-I疲劳寿命预测[J].机械设计与制造,2017(5):1-4.
[7]钟振前,田志凌,杨春.EBSD技术在研究高强马氏体不锈钢氢脆机理中的应用[J].材料热处理学报,2015(2):77-83.
[8]樊文刚,叶佩青.复杂曲面五轴端铣加工刀具轨迹规划研究进展[J].机械工程学报,2015(15):168-182.
[9]刘纯国,岳韬,崔琪.铝合金壁板筋条多点对压成形失稳及断裂研究[J].航空制造技术,2018(18):16-22.
[10]陈伟伟,严隽藩,娄云鸽.轴类零件多功能全自动智能测量仪的设计[J].机械制造,2016(4):76-79.
[2]魏仁超,陈学东,范志超,等.FV520B钢在湿H2S+Cl-环境中的腐蚀疲劳性能[J].机械工程学报,2018(14):43-49.
[3]WU Q G,CHEN X D,FAN Z C,et al.Corrosion fatigue behavior of FV520B steel in water and salt-spray environments[J].Engineering Failure Analysis,2017,79:422-430.
[4]GUO Qiang,GUO Xinglin.Research on high-cycle fatigue behavior of FV520B stainless steel based on intrinsic dissipation[J].Materials & Design,2016,90:248-255.
[5]ZHANG Ming,WANG Weiqiang,WANG Pengfei,et al.The fatigue behavior and mechanism of FV520B-I with large surface roughness in a very high cycle regime[J].Engineering Failure Analysis,2016,66:432-444.
[6]张元良,李瑞品,王金龙,等.基于两种不同缺陷形式的FV520B-I疲劳寿命预测[J].机械设计与制造,2017(5):1-4.
[7]钟振前,田志凌,杨春.EBSD技术在研究高强马氏体不锈钢氢脆机理中的应用[J].材料热处理学报,2015(2):77-83.
[8]樊文刚,叶佩青.复杂曲面五轴端铣加工刀具轨迹规划研究进展[J].机械工程学报,2015(15):168-182.
[9]刘纯国,岳韬,崔琪.铝合金壁板筋条多点对压成形失稳及断裂研究[J].航空制造技术,2018(18):16-22.
[10]陈伟伟,严隽藩,娄云鸽.轴类零件多功能全自动智能测量仪的设计[J].机械制造,2016(4):76-79.