Grinding force and surface quality in creep feed profile grinding of turbine blade root of nickel-based superalloy with microcrystalline alumina abrasive wheels

Creep feed profile grinding of the fir-tree blade root forms of single crystal nickel-based superalloy was conducted using microcrystalline alumina abrasive wheels in the present study. The grinding force and the surface quality in terms of surface topography, subsurface microstructure, microhardness and residual stress obtained under different grinding conditions were evaluated comparatively. Experimental results indicated that the grinding force was influenced significantly by the competing predominance between the grinding parameters and the cross-sectional root workpiece profile. In addition, the root workpiece surface, including the root peak and valley regions, was produced with the large difference in surface quality due to the nonuniform grinding loads along the root workpiece profile in normal section. Detailed results showed that the surface roughness, subsurface plastic deformation and work hardening level of the root valley region were higher by up to 25%, 20% and 7% in average than those obtained in the root peak region, respectively, in the current investigation. Finally, the superior parameters were recommended in the creep feed profile grinding of the fir-tree blade root forms. This study is helpful to provide industry guidance to optimize the machining process for the high-valued parts with complicated profiles.     

晶体取向对第四代单晶高温合金DD15高周疲劳性能的影响

在定向炉中分别采用籽晶法制备了[001]、[011]和[111]3种不同取向的第四代单晶高温合金DD15,在800℃研究了不同取向的高周疲劳性能,分析了合金不同取向的显微组织、疲劳断口形貌和疲劳断裂组织。结果表明:在凝固方向横截面上不同取向合金的铸态枝晶和热处理γ′相组织明显不同。合金800℃的高周疲劳性能存在各向异性,疲劳极限按[111]、[001]、[011]取向的顺序降低。不同取向合金的高周疲劳都是沿平面断裂,断裂平面与试样中心应力轴线的角度不同,角度按[011]、[001]、[111]取向的顺序逐渐减小。不同取向高周疲劳断口特征基本相同,可见疲劳源区、疲劳扩展区和瞬断区。疲劳裂纹起源于试样表面或亚表面并沿{111}平面扩展。扩展区上可见河流状花样和疲劳条带。瞬断区可见撕裂棱和解理台阶特征,其断裂机制都为类解理断裂。由于试验温度较低,不同取向疲劳断裂后的γ′相仍保持立方形状。     

叶片前缘仿形涡流检测仿真与试验设计

仿形涡流检测技术因其耦合性好可有效抑制检测过程晃动而特别适合对大曲率叶片前缘快速检测。针对涡轮叶片前缘仿形涡流检测建立前缘及仿形线圈有限元模型，运用有限元方法分析叶片前缘凹坑、长裂纹、边沿凹坑3种典型缺陷在内外两种激励、不同内径线圈、不同频率等模式下的检测信号特征。仿真结果表明：大曲率前缘实施仿形涡流检测，检测区域可有效覆盖整个前缘区域，检测频率越高，检测灵敏度越高。双线圈检测模式下，外激励内接收比内激励外接收灵敏高，当内检测线圈尺寸大于缺陷的尺度时，内接收线圈内径越小，其相对灵敏度越高。结合仿真结论，制作前缘缺陷试块，采用锁相放大及图形化编程技术，设计前缘仿形涡流检测系统，试验结果表明，仿形线圈可有效检出前缘典型缺陷，检测幅值相位输出结果与仿真结论相似。研究成果可用于指导大曲率叶片前缘的工程实践检测。     

Multi-faults diagnosis of rolling bearings via adaptive customization of flexible analytical wavelet bases

Multi-faults detection is a challenge for rolling bearings due to the mode mixture and coupling of multiple fault features, as well as its easy burying in the complex, non-stationary structural vibrations and strong background noises. In this paper, a method based on the flexible analytical wavelet transform (FAWT) possessing fractional scaling and translation factors is proposed to identify multiple faults occurred in different components of rolling bearings. During the route of the proposed method, the proper FAWT bases are constructed via genetic optimization algorithm (GA) based on maximizing the spectral correlated kurtosis (SCK) which is firstly presented and proved to be efficient and effective in indicating interested fault mode. Via using the customized FAWT bases for each interested fault mode, the original vibration measurements are decomposed into fine frequency subbands, and the sensitive subband which enhances the signal-to-noise ratio (SNR) is selected to exhibit the fault signature on its envelope spectrum. The proposed method is tested via simulated signals, and applied to analyze the experimental vibration measurements from the running roller bearings subjected to outrace, inner-race and roller defects. The analysis results validate the effectiveness of the proposed method in identifying multi-faults occurred in different components of rolling bearings.     

基于改进深度学习模型的焊缝缺陷检测算法

针对传统深度学习模型在进行焊缝缺陷检测时对小缺陷目标检测效果不理想问题，提出基于改进深度学习Faster RCNN模型的焊缝缺陷检测算法，算法通过多层特征网络提取多尺度特征图并共同作用于模型后续环节，以充分利用模型中的低层特征，增加细节信息；改进模型的区域生成网络，加入多种滑动窗口，从而优化了模型锚点的长宽比设置，提高检测能力。实验表明，改进Faster RCNN模型取得最优的缺陷检测结果，对于小缺陷目标仍取得较好的检测精度，从而验证了算法的有效性。     

平板表面薄圆柱绕流摩擦力矢量场全局测量

针对壁面摩擦力矢量场测量问题,基于剪切敏感液晶(SSLC)涂层技术建立了一种测量平板表面摩擦力矢量场的方法。该方法基于多视角测量原理,采用六台同步相机从不同方向同时采集SSLC涂层在摩擦力作用下的颜色变化,与采用单台相机相比能够降低测量噪声,并且具有测量非定常流动的摩擦力场的潜力。应用该方法测量了平板表面薄圆柱绕流的摩擦力矢量场,结果表明:(1)SSLC涂层能够以彩色方式定性显示壁面摩擦力信息;(2)通过对不同方向观测的SSLC涂层颜色进行分析处理,该方法能够高分辨率测量薄圆柱绕流的摩擦力矢量场,详细地捕获了流动特征;(3)同一份SSLC涂层可以重复使用并且可用于测量不同的摩擦力矢量场。     

ZL205A合金舱体低压工艺设计及数值仿真应用

针对某ZL205A合金舱体铸件壁薄难充型、壁厚差异大、易产生裂纹等特点,设计了低压底注式浇注工艺。采用立筒缝隙式浇注系统分配充型过程中合金的流量,局部厚大部位放置成形冷铁加快该部位的冷却速度,以控制铸造缺陷的产生。利用ProCast数值仿真软件对工艺进行仿真计算,成功预测了缺陷的产生位置,对工艺方案进行优化,包括倒角过渡、改变型砂使用等,并在优化方案的基础上浇注了舱体铸件,铸件质量良好,没有缩松、缩孔、裂纹等缺陷,符合相关技术要求。     

芳纶纸蜂窝外观缺陷分析

文摘对芳纶纸蜂窝的制备工艺流程进行了简单的介绍,结合其制备工艺,对蜂窝双层壁、嵌套孔格、S型孔格和人字形孔格等常见外观缺陷产生的原因进行了分析,并结合蜂窝制备过程提出了减少蜂窝缺陷的具体措施。建议研究人员评估芳纶纸蜂窝外观缺陷对其性能的影响,确定缺陷的可接受范围。     

内冷通道横流条件下气膜冷却特性

为了研究内冷通道横流条件下气膜冷却的流动和换热特性,采用窄带瞬态液晶测量技术获得了内冷通道横流条件下吹风比分别为0.5,1,2时气膜孔下游冷却效率和表面传热系数云图,并通过数值模拟得到了气膜孔内及下游区域流场的详细信息.结果表明:内冷通道横流对气膜孔下游冷却效率和表面传热系数分布有重要的影响.横流增强了气膜孔射流的展向分布能力,增强了高吹风比时气膜冷却效果.另外,气膜孔下游涡的分布出现明显的不对称性,涡的结构更加复杂.     

钛合金表面缺陷的激光熔覆修复研究

采用激光熔覆方法对钛合金试样表面缺陷进行修复,对修复结果进行反复测试,并与氩弧焊修复进行对比试验。试验结果表明,激光熔覆可实现对钛合金表面缺陷的有效修复,且各方面性能远高于氩弧焊修复。