数控机床刀具磨损监测方法研究

数控机床刀具磨损监测对于提高数控机床利用率,减小由于刀具破损而造成的经济损失具有重要意义.文章有针对性地回顾了国内外各种刀具磨损监测方法的研究工作,详细叙述了切削力监测法、切削噪声监测法、功率监测法、声发射监测法、电流监测法以及基于多传感器监测法等六种刀具磨损监测方法.本文通过比较各种监测方法的优缺点,提出基于多传感器监测法是数控机床刀具磨损监测方法的未来发展的主要方向.     

在数控机床上在线监测刀具磨损的新方法——计算机图象处理法

本文介绍在数控机床上应用大截面光导纤维传象束和工业摄像机将刀具磨损图象输入监视器,并利用图象采集卡将图象转换成数字图象存入微机,经专用软件处理,从而实现刀具磨损的在线监测的全过程。试验表明,这是一种具有广阔应用前景的先进方法,它较之其它间接在线监测刀具磨损的方法具有直观、精度高及速度快的优点。     

数控机床切削过程刀具磨损与破损的振动监测法

数控切削加工过程中刀具的磨损与破损是数控机床常见的故障之一,而刀具的磨损与破损程度直接影响零件的加工质量.所以对刀具状态的实时监测就显得十分关键,本文阐述了从振动分析方面对其进行在线监测的方法.     

数控机床刀具磨损在线监测建模与研究

通过对数控机床刀具在线磨损状况进行分析,构建了一种在线监测刀具磨损的模型,文章阐述了该模型的在线监测原理,并对其必要技术进行了研究分析.     

数控机床刀具磨损与破损的声发射监测法

数控切削加工过程中刀具的磨损与破损是数控机床常见的故障之一,而刀具的磨损与破损程度直接影响零件的加工质量.所以对刀具状态的实时监测就显得十分关键,阐述了用声发射法对其进行在线监测的方法.     

基于振动测试的数控机床刀具磨损监测方法

为了通过特性分析直接判断数控机床刀具的工作状态,以实现柔性制造系统的研究,在刀具磨损的多种在线监测方法中采用振动测试的监测方法,对DL20MH数控车削中心的YG8硬质合金刀头进行在线监测,分别在不同的刀具磨损阶段实时监测其磨损信号,通过时域分析、频域分析和传递函数分析相结合的方法进行数据处理,并对照被加工工件的表面粗糙度和通过显微镜下观察刀刃的实时变化情况,对其进行分析处理,得出刀具的实时变化情况及被加工工件的粗糙度与理论数据基本吻合并呈现出一定的趋势,从实频域分析数据中也可以直观地判断刀具的磨损状态,测试结果与实际情况吻合,从而验证了振动测试是适合刀具磨损在线监测研究的.     

数控机床刀具磨损监测系统开发关键技术研究

对于数控机床中重要组成部分的刀具,在其工作过程中,会随着切割工件产生磨损情况,当磨损到一定程度,刀具必然会影响到正常的工作,因此对刀具磨损状态的检测,在当前是提高数控机床工作质量的一个重要环节.传统的刀具磨损检测方法存在诸多的问题,首先是劳动力强度较高,然后是会降低数控机床的日常工作效率,其次是会增加日常材料的使用成本...     

非接触式刀具磨损监测系统研究

根据所提出的刀具磨损非接触式检测方法,设计开发了一种新型监测系统,并论述了系统组成、硬件设置及相应的软件开发方法。     

国内外刀具磨损、破损自动监测方法的现状述评

本文总结了目前国内外刀具磨损、破损自动监测的主要方法，并对其优缺点、技术现状及应用背景进行了评述。     

变参数铣削刀具磨损状态监测研究

针对切削力旧有时域特征易受切削参数变动影响而不适用于变参数铣削刀具磨损状态监测的缺陷,采用了一组新的无量纲切削力时域特征(归一化切削力指标NCF、变异系数Cv和峰值力比MFR)。并以难加工材料TC4钛合金变参数铣削实验来验证新特征在变参数铣削刀具磨损状态监测上的有效性,分别以新旧特征作为SVM分类器的输入,分析和比较结果表明本文提出的无量纲切削力时域特征对切削参数变化不敏感,而仅对刀具磨损状态变化敏感,因此能够实现变参数铣削刀具磨损状态监测。     

数控车削加工过程的刀具磨损动态监测

对车削加工刀具磨损的各阶段信号进行采集,通过动态时频域分析,找到车削加工过程中刀具磨损的重要参数变化,对其进行振铃记数和人工神经网络的模式识别,实现了车削加工刀具磨损的状态检测。     

A method for predicting hobbing tool wear based on CNC real-time monitoring data and deep learning

Intelligent monitoring and diagnosis of tool status are of great significance for improving the manufacturing efficiency and accuracy of the workpiece. It is difficult to quickly and accurately predict the wear state of worm gear hob under different working conditions. This paper proposes a novel approach to predict hob wear status based on CNC real-time monitoring data. Based on the open platform communication unified architecture (OPC UA) technology and orthogonal test, the machine data of motor power, current, etc. related to tool wear are collected online in the worm gear machining process. And then, an improved deep belief network (DBN) is used to generate a tool wear model by training data. A growing DBN with transfer learning is introduced to automatically decide its best model structure, which can accelerate its learning process, improve training efficiency and model performance. The experiment results show that the proposed method can effectively predict hob wear status under multi-cutting conditions. To show the advantages of the proposed approach, the performance of the DBN is compared with the traditional back propagation neural network (BP) method in terms of the mean-squared error (MSE). The compared results show that this tool wear prediction method has better prediction accuracy than the traditional BP method during worm gear hobbing.     

基于复映测量的球头刀具磨损数据处理及其软件开发

在铣削加工中,刀具磨损对产品加工质量有重要的影响,以球头刀具磨损为研究对象,为了建立刀具磨损模型,采用复映测量手段获取刀具磨损,在复映测量获得刀具磨损的过程,针对复印测量的球头铣削刀具磨损数据提出了数据处理的方法,并以Visual C++为开发平台实现了基于复映测量的刀具磨损数据处理模块,为基于复映测量的刀具磨损建模提供了基础,所提出的刀具磨损数据处理方法可有效对刀具磨损数据进行分析建立刀具磨损模型。     

应用PC和80C196KC单片机的刀具磨损状态监测系统

设计一种融合声发射(AE)、主轴电动机电流和Z向进给电动机电流多特征参数检测方法的、以PC机为上位机、以80C196KC单片机为下位机的刀具磨损监测系统。主要介绍系统的硬件结构,阐述系统中多路信号采集装置硬、软件工作原理与设计中的关键技术,以及具有辨识功能的上位数据处理计算机的软件工作流程。     

A method for detecting tool wear on a CNC lathe using a doppler radar detector

Installing a non-contact in-process tool wear detection system on a computer numerical control lathe can help prevent product defects and improve product quality without impacting product cycle time. Many methods have been proposed for non-contact in-process tool wear detection. In particular, a recent international patent application describes a method for measuring the torque in a rotating axle using a high-frequency wireless transmitter/receiver and a vibrating string. The method has reportedly been used to detect cutting on a manual lathe. The authors present a new method for measuring tool wear using a high-frequency wireless transmitter/receiver alone, without a vibrating string. The high-frequency transmitter/receiver apparently responds to metal-metal contact noise rather than, or more strongly than, to signals generated by a vibrating string. The findings could help bring automated tool wear monitoring systems closer to the level of performance needed for practical use in industry.     

SINAMICS数字I/O数据交换技术在数控机床中应用

阐述了CK8011F数控车床双数控系统PPU260.2之间的数据通讯方法,通过PN/PN耦合器数据交换法、局域网数据交换法及SINAMICS数字I/O控制端子数据交换法等数据交换方案的对比分析,采用了数字I/O控制端子数据交换法,实现了机床双数控系统之间的数据通讯交换.     

Assessment and visualisation of machine tool wear using computer vision

Tool wear monitoring is an integral part of modern CNC machine control. Cutting tools must be periodically checked for possible or actual premature failures, and it is necessary to record the cutting history for a tool’s full life of utilisation. This means that an on-line monitoring system would be of great benefit to overall process control in manufacturing systems. Computer vision has already shown promise as a candidate technology for this task. In this paper, we describe the use of digital image processing techniques in the analysis of images of worn cutting tools in order to assess their degree of wear and thus remaining useful life. It is shown that a processing strategy using a variety of image texture measures allows for effective visualisation and assessment of tool wear, and indicates good correlation with the expected wear characteristics.     

数控车床自动换刀装置研究

研究了数控刀架的机械结构与控制方式,探讨了提高刀架重复定位精度的方法,研究了ＰＣ与数控装置结合控制自动换刀过程,实现可靠换刀的硬件结构和软件。,     

Data acquisition and monitoring in machine tools with CNC of open architecture using internet

This paper presents a proposed system for data acquisition and monitoring of manufacturing process in machine tools with CNC of open architecture, using the Internet. It was applied to evaluate workpiece dimension and, indirectly, tool wear, as well as sharing shop floor information, in real time, in any place through Intranet and/or Internet, aiding the whole integration of the manufacturing system. The proposed system was developed and tested initially in a CNC lathe with open architecture. However, it can be extended to other machines and processes, lines or cells of mass production as well. In the first experiments, the system was capable of maintaining uniform, within a closer tolerance, the diameter of a batch of 30 workpieces, changing from an ISO IT13 quality to ISO IT09. It was also possible to share on-line information about the process, production and technological parameters, by Intranet/Internet, using only a HTML page navigator .