A salient edges detection algorithm of multi-sensor images and its rapid calculation based on PFCM kernel clustering

Multi-sensor image matching based on salient edges has broad prospect in applications, but it is difficult to extract salient edges of real multi-sensor images with noises fast and accurately by using common algorithms. According to the analysis of the features of salient edges, a novel salient edges detection algorithm and its rapid calculation are proposed based on possibility fuzzy C-means （PFCM） kernel clustering using two-dimensional vectors composed of the values of gray and texture. PFCM clustering can overcome the shortcomings that fuzzy C-means （FCM） cluster- ing is sensitive to noises and possibility C-means （PCM） clustering tends to find identical clusters. On this basis, a method is proposed to improve real-time performance by compressing data sets based on the idea of data reduction in the field of mathematical analysis. In addition, the idea that kernel-space is linearly separable is used to enhance robustness further. Experimental results show that this method extracts salient edges for real multi-sensor images with noises more accurately than the algorithm based on force fields and the FCM algorithm; and the proposed method is on average about 56 times faster than the PFCM algorithm in real time and has better robustness.     

Grinding performance evaluation of porous composite-bonded CBN wheels for Inconel 718

For high-efficiency grinding of difficult-to-cut materials such as titanium and nickel alloys, a high porosity is expected and also a sufficient mechanical strength to satisfy the function.However, the porosity increase is a disadvantage to the mechanical strength. As a promising pore forming agent, alumina bubbles are firstly induced into the abrasive layer to fabricate porous cubic boron nitride（CBN） wheels. When the wheel porosity reaches 45%, the bending strength is still high up to 50 MPa with modified orderly pore distribution. A porous CBN wheel was fabricated with a total porosity around 30%. The grinding performance of the porous composite-bonded CBN wheel was evaluated in terms of specific force, specific grinding energy, and grinding temperature, which were better than those of the vitrified one under the same grinding conditions. Compared to the vitrified CBN wheel, clear straight cutting grooves and less chip adhesion are observed on the ground surface and there is also no extensive loading on the wheel surface after grinding.     

航空复合材料加筋板压缩屈曲及后屈曲力学性能

航空复合材料加筋板由于具有良好的力学性能,广泛地应用于航空结构中。本工作研究了航空复合材料加筋板压缩屈曲及后屈曲力学性能,首先应用工程方法对复合材料加筋板进行压缩稳定性计算,得到加筋板的屈曲载荷和破坏载荷的预估值;其次,开展复合材料加筋板压缩稳定性实验,得到实验件的屈曲及破坏形式、实验件的载荷-应变及载荷-位移关系和实验件的屈曲载荷和破坏载荷。结果表明:采用工程方法得到的计算结果与实验结果较为吻合,屈曲载荷和破坏载荷的误差分别为6.12%和9.31%,合理应用工程方法可以为实验提供较好的指导;加筋板的破坏形式为壁板的分层、鼓包和撕裂、筋条的断裂以及筋条-壁板的脱粘;屈曲比为1.65的复合材料加筋板具有较强的后屈曲承载能力;工程中可充分应用加筋板的后屈曲承载能力提高结构的利用效率。     

S形蒙皮零件成形工艺

通过运用S3F软件对S形蒙皮拉形过程进行模拟仿真分析,评估S蒙皮拉形工艺性;预测拉形过程中将产生的缺陷;制定合理工艺方案;优化零件设计和模具结构;实现了该蒙皮零件在数控蒙皮拉伸机上的拉形。     

考虑轴向变形的锥形轮盘低循环疲劳试验研究

某型发动机高压压气机Ⅰ级盘采用锥形结构,在装配预紧力和离心载荷的作用下产生轴向变形。为了考核该轮盘的低 循环疲劳寿命,在传统轮盘低循环疲劳试验技术的基础上,提出了1 种考虑轴向变形条件的锥形轮盘低循环疲劳寿命试验方法。 针对轮盘结构与装配要求,计算分析工作状态下的轴向变形,优化设计了能够有效考核轮盘关键部位寿命的试验件、陪试件及试验 工装,对比试验件在整机与试验器状态的应力水平,并在卧式旋转试验器上完成了试验件的低循环疲劳试验。试验结果表明：采用 该方法可对高压Ⅰ级盘安全循环寿命进行有效考核。     

脑机接口等新兴科技对传统外科重建肢体功能的启示

肢体瘫痪是人类致残的最主要原因,仅脑卒中等造成的偏瘫在我国就达两千余万患者,长期“无医可治”。中国原创的左右颈七神经交叉移位,将瘫痪上肢神经换接到同侧健康大脑,不仅偏瘫肢体功能显著恢复,更进一步更新发展了传统脑科学理论。然而对于脊髓损伤后肢体瘫痪或严重肢体残缺患者来说仅依靠医学方法尚不能有效治疗。近年来,围绕传统脑电技术发展而来的脑机接口等新兴技术衍生出的交叉学科逐渐兴起,拥有能够解决医学遗留难题的潜能,在国内外掀起一番热潮。作为国家战略需求,研究者应当抓住机会,加大力度支持跨领域、多学科融合,共同研发肢体功能重建新方案,实现新兴科技与中国原创技术融合的再次突破。