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。     

Performance evaluation of creep feed grinding of γ-TiAl intermetallics with electroplated diamond wheels

This paper evaluates the performance of creep feed grinding γ-TiAl intermetallic (Ti-45Al-2Mn-2Nb) using electroplated diamond wheels. Firstly, a comparative analysis with the grinding results by using electroplated CBN wheels was conducted, mainly involving abrasive wheel wear behavior and maximum material removal rate below surface burn limit. It was found that the diamond wheel would produce much better grinding results including lower wheel wear rate and higher maximum material removal rate. Then the surface integrity obtained at different level of material removal rate was characterized with the utilization of the diamond wheel. The poor ductility of this γ-TiAl intermetallic material was found to have a marginal effect on the surface integrity, as no severe surface defects such as material pullout were generated during the stable wheel wear stage. For the involved operating parameters, a deformation layer was produced with ∼10 μm or more in thickness depending on the material removal rate used. Meanwhile, a work-hardened layer extending to more than 100 μm was produced with a maximum microhardness of above 520 HV_0.05 (bulk value 360 HV_0.05). The residual stress remained compressive, with a value of above −100 MPa and even up to −500 MPa for an elevated material removal rate. Shearing chip was the main chip type, indicating good wheel sharpness in the grinding process.     

Tool Materials Rapid Selection Based on Initial Wear

Based on a large amount of literature about tool wear research, 873 tool wear curves are taken as samples, and statistical analysis is carried out to select the most suitable tool from all the tool materials suggested by the tool manufacturers. Statistical relationships between the initial wear and uniform wear periods are obtained. The results show that there is qualitative relationship between wear rate during initial wear period (WRIWP) and wear rate in uniform wear period (WRUWP) to certain extent. On this basis, a tool material rapid selection method based on the initial wear is put forward, and suitable tool materials for machining titanium alloy are selected. The experimental results indicate that this method is effective and useful. The new tool materials rapid selection can be used to select suitable cutting tool materials quickly before carrying out systematic machinability tests with the most suitable tool materials. The technology can be applied to doing the initial selection of cutting tool materials in either the machinability research or the workshop production.     

内氧化制备A1_2O_3/Cu复合材料载流条件下表面磨损形貌和摩擦学性能研究(英文)

Two Al2O3/Cu composites containing 0.24 wt.% Al2O3 and 0.60 wt.% Al2O3 separately are prepared by internal oxidation. Effects of sliding speed and pressure on the frictional characteristics of the composites and copper against brass are investigated and compared. The changes in morphology of the sliding surface and subsurface are examined with scanning electron microscope （SEM） and energy dispersive X-ray spectrum （EDS）. The results show that the wear resistance of the Al2O3/Cu composites is superior to that of copper under the same conditions, Under a given electrical current, the wear rate of Al2O3/Cu composites decreases as the Al2O3-content increases, However, the wear rates of the Al2O3/Cu composites and copper increase as the sliding speed and pressure increase under dry sliding condition. The main wear mechanisms for Al2O3/Cu composites are of abrasion and adhesion; for copper, it is adhesion, although wear by oxidation and electrical erosion can also be observed as the speed and pressure rise.     

磨料有序排布钎焊金刚石砂轮磨削硬质合金的性能研究

通过优化排布金刚石磨料研制出钎焊单层金刚石端面砂轮.以硬质合金为加工对象,研究了该砂轮的磨削性能.结果显示连续干磨时,金刚石磨粒的失效形式主要是磨耗磨损和断裂两类,没有出现传统的电镀和烧结工具磨粒大量脱落的现象.这表明钎料合金对磨粒的高强度把持和砂轮的高耐用度.此外,工件的磨削表面获得了良好的粗糙度,理论预测的粗糙度数值和试验数值基本一致.     

提高直升机齿轮传动干运转能力的离子注入技术

根据直升机传动系统干运转能力的要求,用销盘试验机测定了M o离子注入量及润滑条件对齿轮钢12C r2N i4A摩擦副摩擦因数和磨损量的影响。结果表明:M o离子注入对摩擦因数影响很小,但可大大降低磨损率,对增强材料耐磨性有很好的作用。在FZG齿轮试验机上进行了齿轮改性前后的对比试验,结果表明,未改性齿轮干运转30 m in后齿面明显胶合,而改性处理后的齿轮经45 m in干运转试验,齿轮工作良好,齿面光整,仍然可以继续使用,具有很好的干运转性能。     

磨粒磨损对砂带磨削TC17表面完整性的影响研究

砂带磨粒磨损直接影响磨削表面质量进而影响构件综合服役性能.以表面完整性为评估指标,对砂带磨损前后钛合金的表面加工质量进行了试验研究,揭示了砂带磨粒磨损对磨削TC17表面粗糙度、残余应力和表面硬度的影响规律及机制.结果表明,磨粒磨损后由于高度均匀化、单位面积切削磨粒数增加、磨削深度减小,使得表面粗糙度减小、纹理均匀细腻,...     

机匣转静刮磨后轴流压气机气动性能评估研究

为揭示机匣可磨耗涂层磨损造成的叶尖间隙和粗糙度变化对压气机气动性能的影响规律,针对不同刮磨形貌下Rotor 37转子性能进行了数值模拟研究。结果表明,压气机等熵效率和出口流量对刮磨间隙和粗糙度的变化较为敏感,降幅最高可达1.78%和0.83%,而压比变化不大;刮磨间隙深度增加,刮磨最深位置前移时,叶尖泄漏增强,泄漏流与上端壁附面层及主流相互作用演变为泄漏涡,与激波相互干涉,造成较大的叶尖损失;压气机气动性能受磨损区域粗糙度影响较小,虽然等熵效率对粗糙度变化较为敏感,但最大降幅也仅为0.38%。磨损区域粗糙度增加时,近壁区湍流波动加强且气流更易分离,引起叶尖泄漏流和叶片尾迹区域的流动结构变化,使压气机气动特性向低流量方向偏移。     

麻花钻磨损振动信号的时域与频域特征分析

本文提出采用振动信号监测钻削过程中钻头的磨损状态。对主轴振动信号随钻头磨损而变化的时域和频域特征进行了实验研究和理论分析。实验表明:振动信号能够较好地反映切削过程中刀具的状态。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。信号的时域波形和谱结构表明刀具在即将发生剧烈磨损之前,将出现所谓“转速调制现象”,即与转速同步的振动信号被高频信号所调制。文中解释了这种现象发生的机理,并提出利用该特性进行钻头磨损监测和预报的方法。建立了以APPLE—Ⅱ微型机为主体的刀具磨损监测系统,实际监测试验表明监测系统具有很好的应用前景。     

AFM针尖磨损机理研究进展

在分析了原子力显微镜(AFM)探针在测量及加工领域应用过程中,探针磨损对于实验结果的影响的基础上,综述了Si3N4针尖、金刚石针尖和单晶硅针尖的磨损机理。并展望了探针磨损机理的发展趋势。