航空精密制造技术
航空精密製造技術
항공정밀제조기술
AVIATION PRECISION MANUFACTURING TECHNOLOGY
2015年
4期
1-4
,共4页
唐群瑞%郭兵%赵近川%赵清亮
唐群瑞%郭兵%趙近川%趙清亮
당군서%곽병%조근천%조청량
注射成型%声发射技术%小波包分解%工艺参数
註射成型%聲髮射技術%小波包分解%工藝參數
주사성형%성발사기술%소파포분해%공예삼수
injection molding%acoustic emission technology%wavelet packet%process parameters
基于声发射技术与信号小波包分解,采集成型过程的声发射信号,分析注射成型工艺如注射速度、注射压力、模具温度等对于声发射信号的影响以及有无流动缺陷时声发射信号的区别。实验结果显示,随着注射速度升高或者模具温度的降低,信号能量明显升高。另外注射速度、注射压力和模具温度共同影响信号在375-500kHz频段能谱系数。缺陷检测实验也表明当375-500kHz频段能谱系数大于0.1时,二次透镜表面存在缺陷。注射成型过程的声发射信号尤其是375-500kHz频段信号完全能够反映出工艺参数变化和成型过程熔体流动情况,并且能够实现成型流动缺陷的在线监测。
基于聲髮射技術與信號小波包分解,採集成型過程的聲髮射信號,分析註射成型工藝如註射速度、註射壓力、模具溫度等對于聲髮射信號的影響以及有無流動缺陷時聲髮射信號的區彆。實驗結果顯示,隨著註射速度升高或者模具溫度的降低,信號能量明顯升高。另外註射速度、註射壓力和模具溫度共同影響信號在375-500kHz頻段能譜繫數。缺陷檢測實驗也錶明噹375-500kHz頻段能譜繫數大于0.1時,二次透鏡錶麵存在缺陷。註射成型過程的聲髮射信號尤其是375-500kHz頻段信號完全能夠反映齣工藝參數變化和成型過程鎔體流動情況,併且能夠實現成型流動缺陷的在線鑑測。
기우성발사기술여신호소파포분해,채집성형과정적성발사신호,분석주사성형공예여주사속도、주사압력、모구온도등대우성발사신호적영향이급유무류동결함시성발사신호적구별。실험결과현시,수착주사속도승고혹자모구온도적강저,신호능량명현승고。령외주사속도、주사압력화모구온도공동영향신호재375-500kHz빈단능보계수。결함검측실험야표명당375-500kHz빈단능보계수대우0.1시,이차투경표면존재결함。주사성형과정적성발사신호우기시375-500kHz빈단신호완전능구반영출공예삼수변화화성형과정용체류동정황,병차능구실현성형류동결함적재선감측。
The acoustic emission technique is used to capture the acoustic emission signals during injection molding under different process parameters. The signals are processed by using the wavelet packet decomposition to analyze the impacts of injection molding process parameters such as injection speed, injection pressure, mold temperature on the AE signals. The Experimental results show that the signal energy is significantly higher. In addition the injection speed, the injection pressure and the mold temperature effect signal 375-500kHz band spectrum coefficient together which can be used to monitoring the flow of melt. Defect detection experiments also show that when the 375-500kHz band spectrum coefficient is greater than 0.1,some defects occur on the surface of second lens. The acoustic emission signals of injection molding process and process parameters are inseparable, and the AE signals can fully reflect the molding process especially the signal of 375-500kHz band. It is easy to achieve the online monitoring of defects during the flow process based on acoustic emission technology.