共查询到19条相似文献,搜索用时 421 毫秒
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为构建一个精简的低成本经济型五轴联动机床数控系统,采用了基于32位操作系统Windows XP为软件平台,设计了并行双向多功能接口板作为步进电动机驱动控制接口,和intel双核心Atom1.6G处理器mini主板组成PC计算机硬件平台,并利用Mach3开放式CNC控制软件完成五轴机床的联动控制.实验结果证明该数控系统可有效实现五轴机床联动控制. 相似文献
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介绍了一种基于SIMATIC S7-200实现步进电动机控制的方法,利用PLC的PTO功能产生脉冲信号控制步进电机,可以实现步进电动机的调速控制和精确定位控制,具有定位精度高,参数设置方便等优点. 相似文献
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介绍了单片机在步进电动机电源部分控制中的应用和步进电动机实现运行、调速和细分运行的方法. 相似文献
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为了解决电水壶手工抛磨污染大、效率低、抛磨效果不稳定等问题,介绍了一种电水壶曲面数字化抛光机床,阐述了该机床由步进电动机失步造成的误差的原因及对各方面的影响,提出一种基于51系列单片机的步进电动机加减速控制方法来消除该误差,同时通过实验证实了该方法的可行性。 相似文献
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提出了基于特征的雕刻轨迹自动生成方法,分别讨论了基于谐分析特征向量组及基于分菜技术的雕刻轨迹生成过程,以及等步长法,等步长细分法,等偏差法等三种雕刻轨迹步长确定方法。 相似文献
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Aleš Gorkič Drago Kovačič Janez Diaci 《The International Journal of Advanced Manufacturing Technology》2009,42(1-2):138-144
We present an experiment where sonic waves generated during the laser engraving of printed circuit boards (PCB) were acquired and analyzed. The sonic waves were detected simultaneously using a microphone and a laser beam deflection probe. An efficient windowed peak-to-peak signal processing algorithm was developed to examine the relation between the detected signals and the engraving quality. The results of signal analysis were compared to the engraving surface topography, measured by means of optical microscopy with extended depth-of-field digital photography. The results show that it is possible to distinguish between shallow, good, and burnt engravings by examination of the acquired sonic signals. This observation opens the possibility of automated monitoring or even control of the process of laser engraving PCBs using sonic wave detection. 相似文献
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叙述了实时图像激光雕刻的微机控制;给出了驱动和控制帧捕捉器、激光调Q开关、扫描振镜和步进电机的软、硬件设计;对影响雕刻精度的因素进行了初步的分析。系统对多种工艺件的图像、纪念标的雕刻具有较大的实时性和灵活性。 相似文献
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通过对钛合金焊接机匣化铣结构的分析,设计了化铣工艺流程。针对化铣图形制版质量在化铣工艺流程中的关键作用,确定了化铣图形制版的激光刻型方案。选择通用三维激光切割机做为刻型加工设备,分析了激光刻型过程中要解决的技术问题,并采用分组编程刻型方案解决了通用三维激光器柔性切割轨迹误差技术难题,最后通过多组参数激光刻型试验选择了最佳切割参数,完成了该件化铣前激光刻型。通用三维激光切割机实现化铣图形柔性精确刻型方法,对其它复杂结构件化铣图形制备方案选择具有一定参考价值。 相似文献
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Chinmay K. Desai Abdulhafiz Shaikh 《The International Journal of Advanced Manufacturing Technology》2012,60(9-12):865-882
The present study is aimed to investigate micro-milling performance of thermoplastics with different parameters, namely laser beam absorptivity, latent heat of vaporization, laser power and cutting speed. The 25-W CO2 (CW) laser engraving machine is used for the investigation. In total 50 different combinations of laser power and cutting speed with four categories of thermoplastics, namely poly-methyl-methacrylate, poly-propylene, acrylonitrile butadiene styrene and nylon 6, are used in this study. Experimental results suggest that laser beam absorptivity, cutting power and cutting speed are the major influencing parameters on depth of cut. Theoretical model for the prediction of depth of cut in terms of material properties, cutting power and cutting speed has been proposed. Two correction parameters have been introduced in this analysis using non-linear regression method to improve the theoretical model. Comparison has been made between prediction capabilities of theoretical model, model based on multi-gene genetic programming and artificial neural network. The comparison clearly indicates that all the three models provide accurate prediction of depth of cut. The details of experimentation, model development, testing and the performance comparison are presented in this paper. 相似文献
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本文详尽地介绍了DDJ-160型全自动电子雕刻机的控制原理以及它的计算机控制系统,并着重论述了该系统控制程序的功能和特点。 相似文献