Tool wear modeling method for spiral rod milling is presented.
介绍了一种螺杆铣削过程刀具磨损建模的方法。
The on-line monitoring of tool wear and breakage is one of the basic functions of FMS.
刀具磨损、破损的在线监控是FMS的基本功能之一。
The coat shed, tool tip breakage, diffusive wear have been observed as the main form of tool wear.
发现涂层脱落、刀尖破损、扩散磨损为微径铣刀的主要磨损形式。
New method for online tool wear estimation in spiral rod numerical controlled milling is presented.
介绍了一种在线估算螺杆数控铣削中刀具磨损量的新方法。
The first kind of models can be used to on line identify the tool wear condition by using current signals.
对于第一种模型，可利用电流信号进行刀具磨损状态的在线识别；对于第二种模型，综合了时间因素的影响，可直接识别刀具磨损量。
Systems for automatic tool wear monitoring contribute to measures to reduce manufacturing costs considerably.
刀具磨损状态自动识别系统能够显著地降低制造成本。
The experiment result proves that this system can be applied to the real-time tool wear monitoring successfully.
实验结果证明该系统可成功应用于刀具磨损量的实时监测。
With the increment of tool wear, the signal magnitude increases and the vibration energy increases correspondingly.
随着刀具磨损的增加，振动信号的振幅增大，振动能量亦相应增加。
In this paper based on image analysis theory the chip shape recognition and tool wear inspecting were analyzed and studied.
本文以图像分析理论为基础，针对切屑形态识别和刀具磨损检测进行了研究。
Detects tool wear (high load) or breakage (low load) in machine tools and shutdown or signals maintenance for added safety.
检测机械工具的工具磨损(大负荷)和破损(小负荷)、停机或信号维护，以增加安全性。
In cutting experiments, it can be observed and measured that the chip thickness, the tool wear, the screw thread teeth, and so on.
在切削实验中，可对切屑厚度、刀具磨损及螺纹等的形貌进行观察并测量其尺寸。
The characteristic values of vibration signals were used as testing parameters of tool wear for milling special shaped spiral rods.
针对异型螺杆铣削加工，采用振动信号特征值作为检测刀具磨损的参量。
The article discusses an automatic tool wear measuring method during chatter cutting, practical application shows very good results.
本文研究了一种实现颤振切削自动化的刀具磨损检测方法。实际应用表明，这种方法收到了良好的效果。
This method is to control lapping parameters, make lapping tool wear well distributedly and thus assures lapping tool surface accuracy.
通过控制研磨参数，使得磨具磨损均匀，从而保证磨具面形精度。
One is the current signal model with bore cutting condition, and the another is the model of tool wear with cutting conditions and time.
第一种是基于电流信号的刀具磨损模型，第二种是直接基于刀具磨损量的模型，这两种模型均滤除了切削条件的影响。
Cutting temperature has direct effects on not only tool wear and tool life but also machining accuracy and quality of machined surfaces.
切削温度不仅直接影响刀具的磨损和耐用度，而且也影响工件的加工精度和已加工表面质量。
After survey of tool wear status online monitoring, the paper gives a new way to monitor the tool wear status based on speech recognition.
分析了刀具在线监测研究概况，提出了基于语音识别技术的刀具工况在线监测方法。
The Paper Presents a feasible study of modeling on tool life for the failure modes of tool wear and fracture based on methods of catastrophe theory.
介绍了基于突变论的方法建立刀具磨损与破损失效寿命模型的可行性的研究结果。
The method has high automation degree and quick judgment speed and offers definite foundation of further processing three dimensions state of tool wear.
本方法具有自动化程度高、判决速度快等优点，并对刀具磨损三维形态的识别和检测提供了一定的基础。
This paper researches on the tool wear condition monitoring by cutting sound signal and workpiece surface texture based on analysis of the relative situation.
本论文在分析现状的基础上，从切削声信号和工件表面纹理这两个方面对刀具磨损状态监测技术进行了研究。
Ultrasonic vibration is applied to diamond turning of stainless steel in order to decrease diamond tool wear and improve the surface quality of the workpieces.
为减轻金刚石刀具的磨损，提高工件表面加工质量，采用超声振动的方法切削不锈钢零件。
Continued to use of tool wear, spindle axial force will be increase, leading to bearing damage, but will also affect the accuracy and effectiveness of engraving.
刀具磨损后仍继续使用，会加大电主轴轴向力，导致轴承受损，而且还会影响雕刻的精度及效果。
After a brief introduction the importance of tool condition monitoring, the paper derived the relationship between the spindle current and tool wear theoretically.
在简单介绍监测刀具状态的重要性的基础上，文章从理论上推导了主轴电流与刀具磨损量之间的关系式。
Using VC as a design platform, a real-time detecting and compensation system for tool wear based the analyzing and disposing for signals of cutting force is introduced.
介绍了以VC为平台设计开发的一套基于切削力信号分析与处理的刀具磨损实时监测和补偿系统。
Through measuring the electric current signal, the soft sensing model used for tool wear estimation based on stochastic fuzzy neural network(SFNN) is presented in this paper.
本文通过检测电流信号基于随机模糊神经网络建立了刀具磨损量的软测量模型。
Through measuring the electric current signal, the soft sensing model used for tool wear estimation based on stochastic fuzzy neural network(SFNN) is presented in this paper.
本文通过检测电流信号基于随机模糊神经网络建立了刀具磨损量的软测量模型。
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