tool wear

Separately adopted carbide and TiN coated carbide to machine aluminum alloy and stainless steel, a series of turn-milling tool wear experiments had been done on a turn-milling machining center to analyze the tool wear and fracture.

在车铣加工中心上，分别采用硬质合金和TiN涂层硬质合金刀片，对铝合金和不锈钢工件进行了车铣加工的刀具磨损试验，研究分析了车铣刀具的磨损和破损特征。

Influence of titanium carbide content in carbide tools on tool wear

硬质合金刀具材料中碳化钛含量对其耐磨性的影响

The effects of vibration parameters on the surface roughness and the tool wear are analyzed.

研究了不同振动参数对工件表面粗糙度和刀具磨损量的影响规律.

An Experimental Study on Tool Wear in High-speed Milling Titanium Alloy Parts

钛合金零件高速铣削刀具磨损的试验研究

Accompanied with the development of modern machining industry, tool wear monitoring becomes more and more important.

随着现代加工工业的发展, 对刀具磨损的监测在保障生产安全和产品质量中发挥着越来越重要的作用.

However, tool wear is high in USM, due to the abrasive cutting action.

但是, 由于USM是磨削加工, 因而刀具损耗大.

Image detection for carbide tool wear based on laser grating projection is presented.

提出一种基于激光光栅投影技术的硬合金刀具磨损的图像检测方法。

Effect of Bubble Bath on Tool Wear During Tunnel Boring

地下盾构过程中泡沫剂对刀具耐磨性的影响

In the second model, time parameter is taken into account to discriminate the tool wear condition.

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。

Analyzing the elements relations among tangential force Fx, normal force Fy and cutting thickness, cutting tool angle, cutter meterial and cutting tool wear etc.

分析切向力Fx和法向力Fy与切削厚度、刀具角度、刀具材料及刀具磨损等因素之间的关系。

The cutting sound signal in audible range includes a plenty of tool-wear information.

可听阈内的切削声信号包含着丰富的刀具磨损信息.

Acoustic Emission ( AE ) is a useful and effective technique in tool wear monitoring.

声发射技术是刀具磨损监测的一种新方法.

Investigation of Tool Wear Using Multi-sensors via Artificial Nerval Network

刀具磨损估计的多信号人工神经网络方法研究

The experiment results showed that HOS could be used to distinguish different tool wear styles.

实验结果表明,利用高阶量可以有效区分刀具磨损的不同阶段.

Firstly the variable cutting parameters of spiral rod milling are analyzed to extract the eigenvalue of vibration and power signals. Then the mapping between the signal eigenvalue and the tool wear value is established.

该方法针对螺杆加工中变切削参数的工况，提取了振动信号和功率信号的刀具磨损特征值，并建立了信号特征值与刀具磨损量之间的映射关系，从而得到刀具磨损模型。

The paper adopts a new kind of strain sensor and a vibration sensor collecting four kinds of signals to moni-tor tool wear in deep-hole machining process.

通过采用一种新研制的应变式传感器和振动传感器，采集四路信号共同监测深孔加工过程中刀具的磨损状态。

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 experimental results show that the proposed method for tool wear monitoring is reliable and effective.

实验分析表明,该方法实现刀具磨损监测是行之有效的.

At a low temperature, the mechanical property improving, residual stress, roughness & cutting tool wear decreasing.

低温状态下金属材料表现为机械性能提高, 残余应力下降, 粗糙度降低 、 刀具磨损减小.

The low cutting parameters and serious tool wear are key factors constraining the high-efficiency, low-cost while milling the SY steel.

实际切削加工时，选用的切削参数过低，刀具磨损厉害是制约高效率和低成本铣削SY钢的重要因素。

However, the machining performance of micro tool is low, behaved as quick tool wear, frequent tool fracture, also the machining quality is not high, there is always burr generated on the edge and in the groove.

然而，在微细铣削加工中存在微径铣刀的加工性能不高，表现为刀具磨损快、常发生破损；加工质量不高，工件的棱边、沟槽处产生毛刺等问题。

Compared with already industrialized cemented carbide cutting tool materials, alumina-based nano-composite materials has high wear resistance.

相比已经工业化的硬质合金刀具材料来说，氧化铝基纳米复合刀具材料具备很高的耐磨性。

Therefore, the prediction of tool wear and failure is very urgent.

因此, 预测刀具的磨损和破损的产生,显得十分紧迫.

A New Method of Monitoring Tool Wear Through Measuring Cutting Force

刀具磨损的切削力监测

Tool wear resulted in increased cutting tool forces and machined surface temperature.

刀具磨损造成更多的部队和刀具加工表面温度.

A tool wear monitoring method based on the neuro fuzzy-network using B spline function is presented.

提出一种基于B样条函数模糊神经网络的刀具磨损量监测方法.

The cutting temperature highcutting process , concerning about the tool wear, workpiece surface integrity and machining precision.

切削温度与刀具磨损 、 工件加工表面完整性及加工精度密切相关.

But the low thermal conductivity, anisotropy and laminated structural lead to the high cutting force, tool wear seriously and bad machined surface quality when form milling the CFRP. This makes CFRP cannot be spread in the world.

但是，CFRP的导热性差、各向异性及层合结构等特点导致其在成形齿槽铣削的过程中容易出现铣削力过大、刀具磨损严重和加工质量难以保证等缺点，严重影响其推广应用。

A Comprehensive Description and Analysis of the Methods to Monitor Tool Wear through Cutting Force

用切削力监测刀具磨、破损方法的综述和分析

In EDM process, tool wear is one the primary factors affecting geometrical precision of work piece.

电火花成形加工过程中, 工具电极的损耗是影响工件几何形状精度的主要因素之一.