基于域对抗门控网络的变工况刀具磨损精确预测方法

刀具磨损的精确预测对保证零件加工质量、提高生产效率和降低制造成本具有重要作用。在实际加工过程中,切削参数、刀具几何参数、刀具材料等工况复杂多变,工况信息和刀具磨损量对监测信号的耦合作用为刀具磨损的精确预测带来了很大挑战。针对以上问题,提出了一种基于域对抗门控网络（DAGNN）的变工况刀具磨损精确预测方法。引入工况分类网络并利用无磨损量标签样本,通过域对抗和门控过滤机制自适应地从不同工况的原始监测信号中提取表征刀具磨损且对工况变化不敏感的关键信号特征。对信号特征提取网络和刀具磨损预测网络进行迭代优化,从而实现变工况刀具磨损的精确预测。实验结果表明：相比已有的方法,本文方法能够利用少量带磨损量标签的目标工况样本实现刀具材料和刀具直径变化情况下的刀具磨损量精确预测,预测精度大幅提高。     

PCD刀具车削不同颗粒含量SiCp/Al复合材料试验研究

碳化硅铝基复合材料具有优良的导热性、较高的比强度和比刚度,在航空航天领域具有广泛的应用前景。由于此复合材料中含有增强相,导致材料的切削加工性能变差。通过试验分析了不同颗粒体积分数(纳米级5%、微米级25%)SiCp/Al复合材料和切削参数(切削速度、背吃刀量、进给量)对刀具磨损和工件表面质量的影响,并对刀具磨损机理进行了研究。试验结果表明,车削微米级25%SiCp/Al材料时聚晶金刚石PCD(Polycrystalline Diamond)刀具磨损更严重,且工件表面质量更差。随着进给量和背吃刀量的增大,工件表面粗糙度值增大,刀片前刀面磨损严重;随着切削速度的增大,工件表面粗糙度值减小,刀片前刀面磨损量增大。选取本文切削参数进行SiCp/Al复合材料的切削加工时,发现刀具磨粒磨损、微崩刃是PCD刀具后刀面磨损的主要成因,且刀具前刀面也会产生积屑瘤。研究结果可为SiCp/Al复合材料PCD车削工艺的优化提供理论基础。     

整体叶盘盘铣加工切削力及刀具磨损实验研究

本文对整体叶盘开槽粗加工时从切削速度、进给量、径向切深等切削参数对切削力的影响进行研究。选用正交实验的方法进行盘铣切削实验,得到切削参数对切削力的影响变化规律,并对刀具在切削过程中的磨损进行分析,进一步验证优化的切削参数,为整体叶盘的盘铣加工参数的合理制定与加工工艺的优化提供参考。     

涂层刀具铣削加工300M钢的刀具磨损试验研究

建立了一套便携式的在线刀具磨损图像检测装置及相应的计算程序,利用该装置观察到了涂层硬质合金刀具加工300M高强度钢过程的定性磨损规律,并确定了刀具磨损量的测量方法。     

Tool wear during high speed turning in situ TiCp/TiBw hybrid reinforced Ti-6Al-4V matrix composite

Chipping, adhesive wear, abrasive wear and crater wear are prevalent for both the polycrystalline diamond(PCD) and the carbide tools during high speed turning of TiC_p/TiB_w hybrid reinforced Ti-6Al-4V(TC4) matrix composite(TMCs). The combined effects of abrasive wear and diffusion wear caused the big crater on PCD and carbide tool rake face. Compared to the PCD, bigger size of crater was found on the carbide tool due to much higher cutting temperature and the violent chemical reaction between the Ti element in the workpiece and the WC in the tool.However, the marks of the abrasive wear looked much slighter or even could not be observed on the carbide tool especially when low levels of cutting parameters were used, which attributes to much lower hardness and smaller size of WC combined with more significant chemical degradation of carbide. When cutting TC4 using PCD tool, notch wear was the most significant wear pattern which was not found when cutting the TMCs. However, chipping, adhesive wear and crater wear were much milder when compared to the cutting of titanium matrix composite. Due to the absence of abrasive wear when cutting TC4, the generated titanium carbide on the PCD protected the tool from fast wear, which caused that the tool life for TC4 was 6–10 times longer than that for TMCs.     

基于多参量状态信息融合的刀具磨损状态智能识别

鉴于刀具磨损监控在自动化生产中的重要性,建立了基于切削力和基于相对切削时间的两种磨损检测模型．切削力模型是利用回归算法和模糊分类技术建立的,通过检测切削力信号可在线识别刀具磨损状态．基于相对切削时间模型利用回归技术直接建立刀具磨损量与切削参数及时间的关系,可在较大的切削条件变化范围内实现对刀具磨损的识别．     

不同刀具车削加工高硅氧玻璃纤维/酚醛树脂切削力研究

为探索高硅氧玻璃纤维/酚醛树脂复合材料的切削加工性能,对该类材料进行大直径薄壁回转类零件的车削加工。采用四种不同刀具进行实验研究,获得了不同切削参数及不同刀具材料对切削力的影响规律。试验结果表明:切削用量三要素中,切削深度对切削力的影响最大,其次是进给量,而切削速度的影响很小。当切削速度为119.32 mm/min、进给量为0.1 mm/r、背吃刀量为0.5 mm时,为最优切削参数。Ti-Al-Si-N纳米涂层硬质合金和超硬材料F2HX无涂层硬质合金刀具适合于低速加工,而PCD刀具则适合于高速加工。     

Tool Life and Surface Integrity in High-speed Milling of Titanium Alloy TA15 with PCD/PCBN Tools

Titanium alloys are widely used in aeronautics that demand a good combination of high strength, good corrosion resistance and low mass. The mechanical properties lead to challenges in machining operations such as high process temperature as well as rapidly increasing tool wear. The conventional tool materials are not able to maintain their hardness and other mechanical properties at higher cutting temperatures encountered in high speed machining. In this work, the new material tools, which are polycrystalline diamond (PCD) and polycrystalline cubic boron nitride (PCBN) tools, are used in high-speed milling of Ti-6.5Al-2Zr-1Mo-1V (TA15) alloy. The performance and wear mechanism of the tools are investigated. Compared to PCBN tool, PCD tool has a much longer tool life, especially at higher cutting speeds. Analyses based on the SEM and EDX suggest that attrition, adhesion and diffusion are the main wear mechanisms of PCD and PCBN tools in high-speed milling of TA15. Oxidation wear is also observed at PCBN tool/workpiece interface. Roughness, defects, micro-hardness and microstructure of the machined surface are investigated. The recorded surface roughness values with PCD/PCBN tools are bellow 0.3 μm at initial and steady cutting stage. Micro-hardness analysis shows that the machined surface hardening depth with PCD and PCBN tools is small. There is no evidence of sub-surface defects with PCD and PCBN tools. It is concluded that for TA15 alloy, high-speed milling can be carried out with PCD/PCBN tools.     

EMD和SVM在刀具故障诊断中的应用

与传统方法相比,声发射传感器在刀具故障诊断方面有很大的优势。将声发射传感器应用于刀具切削过程中,提出了基于经验模态分解（EMD）和支持向量机（SVM）的刀具故障诊断方法。该方法首先对标准化的声发射信号进行经验模态分解,将分解后的有限个固有模态函数（IMF）通过一定的削减算法增强故障类型特征,把每个IMF和残余项的能量以及整个信号的削减比作为特征向量,最后将特征向量输入支持向量机进行训练和测试,判断刀具的故障类型。通过对某一刀具的故障诊断结果进行分析,验证了该方法的实用性和有效性。     

钛合金TC11深孔钻削刀片材料的选择

在研究了钛舍金材料切削性能的基础上，针对钛合金的特点，选用了五种国内常用的硬质舍金刀片材料，对钛合金进行深孔钻削刀具磨损试验。结果表明，确定了适合钻削钛合金TC11的硬质合金刀片材料。     

TC4的铣削加工中铣削力和刀具磨损研究

通过TC4铣削加工时的铣削力试验,研究了干切削时和有氮气介质铣削时影响铣削力大小的几个因素,为提高金属去除率优化了切削参数。同时通过刀具磨损试验,对上述两种铣削方式,比较了在不同的切削速度下铣削时铣刀后刀面的磨损,证实了以氮气为切削介质能够大大地改善刀具的磨损状况和提高刀具的寿命。     

Inconel 718车削过程中刀具涂层材料和几何参数对切削力的影响研究

基于Deform 2D仿真软件建立了Inconel 718高温合金车削的有限元模型,对车削过程进行了仿真分析,获得了刀具涂层材料和刀具几何参数对切削力的影响规律。研究结果表明:Inconel 718车削过程中,采用涂层刀具时切削力无明显降低;切削力随前角增大而降低,随后角增大变化不大,随刀尖圆弧半径增大而升高,其中前角和刀尖圆弧半径影响较为显著;根据Inconel 718的切削加工性,建议Inconel 718精车时刀具几何参数的取值范围为:前角6°~8°,后角12°~14°,刀尖圆弧半径0.2~0.4mm。     

刀具声发射信号混沌特征提取及趋势分析

旨在建立一种基于多混沌特征演化分析的刀具磨损状态监测方法,通过计算刀具声发射信号的混沌特性参数分析其磨损趋势。建立首先基于混沌理论分析和描述刀具不同磨损阶段声发射信号的混沌特性,包括：定性描述,即重构相空间的奇异吸引子轨迹和庞加莱截面;定量描述,计算不同时间段声发射信号的关联维数、最大Lyapunov指数等。其次,采用最小二乘回归方法对所计算的混沌参数进行趋势分析。结果表明,声发射信号具有混沌特性,而且关联维数和最大Lyapunov指数演化趋势与刀具的磨损状态具有一定的关联,从而为刀具磨损状态的在线监测和预测提供了新思路。     

SiCp/Al基复合材料的切削加工研究现状

综述了SiC颗粒增强铝基复合材料的切削加工研究进展情况,重点阐述了刀具材料的主要失效形式及影响刀具磨损的因素,并展望了该领域的发展前景。     

超声振动方向对TC4钛合金铣削特性的影响

为充分发挥超声铣削钛合金的优势，改善钛合金的加工效果，增强表面服役性能，分别对刀具和工件施加超声振动，以寻求合适的振动方向和加工参数。理论推导了侧刃断续切削时的临界速度，试验研究了不同振幅和切削速度对表面形貌、切屑形态、切削力和刀具磨损的影响，同时探究了表面微织构对摩擦特性的影响。试验表明在两种振动方向下，增大振幅均使切屑的锯齿化程度降低，并且增加轴向振幅可使锯齿形切屑转变为带状切屑。轴向振动更有利于表面形成微织构、减小切削力、减缓刀具磨损、减小工件摩擦时的磨合时间，但需合理控制切削速度和超声振幅。同时，对切削力进行频谱分析，为工作状态下超声振动频率的测量提供了一种参考方法。     

电火花铣削加工中工具电极损耗补偿策略研究

在电火花铣削加工中,由于工具电极作旋转运动,其损耗呈轴对称分布,使工具电极的补偿成为可能。本文对工具电极的损耗形状进行了研究,提出一种在线工具损耗补偿措施,从而避免了工具损耗形状的检测,极大地提高了生产效率和加工精度     

钛合金TB6刀具磨损铣削实验研究

使用硬质合金刀具对钛合金TB6进行正交铣削实验,对比分析不同切削参数下的刀具磨损情况,并用实验结果进行回归分析得到刀具磨损的回归公式。结果表明:刀具主要磨损在后刀面,其磨损大都呈现一条带状磨损带,在速度增大时大磨损带变长,刀具易发生脆性破损,且在刀具表面会出现钛合金粘连;对刀具耐用度的影响大小依次为切削速度、进给量、切削宽度和切削深度;刀具磨损回归方程具有良好的回归方差,能够很好的对刀具寿命进行预测。     

刀具磨损估计的多传感器融合神经网络方法研究

研究了利用声发射、振动和电机功率信号经BP算法信息融合估计刀具磨损量的方法,采用简单有效的灰色模型关联分析法选择特征参数,研究了网络参数对性能的影响以及网络性能的稳定性。     

Evaluation of tool wear and cutting performance considering effects of dynamic nodes movement based on FEM simulation

An accurate estimation of tool wear morphology can provide the opportunity to investigate the influence of tool wear on cutting performance as well as reduce the overall production cost. However, tool wear prediction is still a very challenging research issue. In this paper, a novel method for simulating the actual chip formation and wear evolution thorough the 3D finite element model has been carried out. In order to improve the accuracy of simulation results, the influence of worn tool, stress and temperature distribution on wear rate are considered. Then cutting experiment has been conducted by turning AISI1045 with uncoated carbide tools to validate the accuracy of the proposed model. The comparison between experimental and simulation results show good agreement which proves the ability of the proposed model in forecasting the tool wear. The validated finite element model has been further utilized studying how the worn tool affects the cutting performance including actual cutting rake, stress distribution, cutting force and temperature. The results of this paper not only provide a clear understanding of wear evolution between tool rake face and chip, but also are meaningful to optimize tool design and cutting parameters.     

航空难加工材料的深冷加工技术研究进展

主要介绍了深冷加工技术的发展现状,论述了深冷加工对航空难加工材料切削性能、切削温度、刀具磨损、表面完整性等的影响,指出了进一步研究和应用亟待探索和解决的问题。