Toward in-situ flaw detection in laser powder bed fusion additive manufacturing through layerwise imagery and machine learning

Process monitoring in additive manufacturing may allow components to be certified cheaply and rapidly and opens the possibility of healing defects, if detected. Here, neural networks (NNs) and convolutional neural networks (CNNs) are trained to detect flaws in layerwise images of a build, using labeled XCT data as a ground truth. Multiple images were recorded after each layer before and after recoating with various lighting conditions. Classifying networks were given a single image or multiple images of various lighting conditions for training and testing. CNNs demonstrated significantly better performance than NNs across all tasks. Furthermore, CNNs demonstrated improved generalizability, i.e., the ability to generalize to more diverse data than either the training or validation data sets. Specifically, CNNs trained on high-resolution layerwise images from one build showed minimal loss in performance when applied to data from an independent build, whereas the performance of the NNs degraded significantly. CNN accuracy was also demonstrated to be a function of flaw size, suggesting that smaller flaws may be produced by mechanisms that do not alter the surface morphology of the build plate. CNNs demonstrated accuracies of 93.5 % on large (>200 μm) flaws when testing and training on components from the same build and accuracies of 87.3 % when testing on a previously unseen build. Finally, evidence linking the formation of large lack-of-fusion defects to the presence of process ejecta is presented.     

Prediction of scouring around an arch-shaped bed sill using Neuro-Fuzzy model

In this study, Adaptive Neuro-Fuzzy Inference System (ANFIS) has been used to model local scouring depth and pattern scouring around concave and convex arch shaped circular bed sills. The experimental part of this research study includes seven sets of laboratory test cases which were performed in an experimental flume under different flow conditions. A data set consists of 2754 data points of scouring depth were collected to use in the ANFIS model. The ratio of arch diameter, D, to flume width, W, is used as a non dimensional variables in all test cases. The results from ANFIS model were compared with the results of ANN model obtained by Homayoon et al. [24] and previously presented models. The results indicated that for D/W equal to 1 and 1.2, the ANFIS models produced a good performance for convex and concave bed sills. As a result, the ANFIS models can be used as an alternative to ANN for estimation of scour depth and scour pattern around a concave bed sill installed with a bridge pier.     

Target Score—A Proteomics Data Selection Tool Applied to Esophageal Cancer Identifies GLUT1-Sialyl Tn Glycoforms as Biomarkers of Cancer Aggressiveness

Esophageal cancer (EC) is a life-threatening disease, demanding the discovery of new biomarkers and molecular targets for precision oncology. Aberrantly glycosylated proteins hold tremendous potential towards this objective. In the current study, a series of esophageal squamous cell carcinomas (ESCC) and EC-derived circulating tumor cells (CTCs) were screened by immunoassays for the sialyl-Tn (STn) antigen, a glycan rarely expressed in healthy tissues and widely observed in aggressive gastrointestinal cancers. An ESCC cell model was glycoengineered to express STn and characterized in relation to cell proliferation and invasion in vitro. STn was found to be widely present in ESCC (70% of tumors) and in CTCs in 20% of patients, being associated with general recurrence and reduced survival. Furthermore, STn expression in ESCC cells increased invasion in vitro, while reducing cancer cells proliferation. In parallel, an ESCC mass spectrometry-based proteomics dataset, obtained from the PRIDE database, was comprehensively interrogated for abnormally glycosylated proteins. Data integration with the Target Score, an algorithm developed in-house, pinpointed the glucose transporter type 1 (GLUT1) as a biomarker of poor prognosis. GLUT1-STn glycoproteoforms were latter identified in tumor tissues in patients facing worst prognosis. Furthermore, healthy human tissues analysis suggested that STn glycosylation provided cancer specificity to GLUT1. In conclusion, STn is a biomarker of worst prognosis in EC and GLUT1-STn glycoforms may be used to increase its specificity on the stratification and targeting of aggressive ESCC forms.     

计及护层环流的电缆温升分析与故障定位方法研究

由于传统IEC热路法无法计算复杂工况下环流变化后电缆温度,因此,采用有限元法并结合电磁场与传热学原理,针对不同接地方式与运行工况下的三相电缆,计算与分析不同常见护层故障下环流变化后的电缆温升情况,为电缆运行状况判断提供参考。结果表明:对于护层交叉互联接地电缆,交叉互联箱进水地或护层接头故障后,故障相电缆温升高达10℃,且故障相电缆在故障点前后出现5℃的温差;对于护层单端接地电缆,发生两相护层故障后,故障点前段电缆较正常运行温升高达13℃以上,故障点前后段电缆存在10℃的温差;三相电缆温升及各相之间温差情况可为电缆温度在线监测提供参考,并根据电缆前后温差出现点对电缆故障点进行定位,尽快检修处理,从而减少后续击穿烧毁事故的发生。     

Continuous size fractionation of magnetic nanoparticles by using simulated moving bed chromatography

The size fractionation of magnetic nanoparticles is a technical problem, which until today can only be solved with great effort. Nevertheless, there is an important demand for nanoparticles with sharp size distributions, for example for medical technology or sensor technology. Using magnetic chromatography, we show a promising method for fractionation of magnetic nanoparticles with respect to their size and/or magnetic properties. This was achieved by passing magnetic nanoparticles through a packed bed of fine steel spheres with which they interact magnetically because single domain ferro-/ferrimagnetic nanoparticles show a spontaneous magnetization. Since the strength of this interaction is related to particle size, the principle is suitable for size fractionation. This concept was transferred into a continuous process in this work using a so-called simulated moving bed chromatography. Applying a suspension of magnetic nanoparticles within a size range from 20 to 120 nm, the process showed a separation sharpness of up to 0.52 with recovery rates of 100%. The continuous feed stream of magnetic nanoparticles could be fractionated with a space-time-yield of up to 5 mg/(L∙min). Due to the easy scalability of continuous chromatography, the process is a promising approach for the efficient fractionation of industrially relevant amounts of magnetic nanoparticles.     

近2年我国锆铪及锆化学制品雕生产、贸易及研发概况

介绍了我国近2年来海绵锆、锆铪制品和锆化学品的生产、进出口概况,以及重要研发进展。我国工业级海绵锆产量从2003年的100t增加到2005年的174t,2005年的销售量达到150t;锆粉与锆-铝消气剂等年产量在10t左右;锆材和锆设备年产量在100t以上;锆化学制品品种有10余种,年产量已达到20×104t。锆砂的沸腾氯化工艺、锆铪的MIBK法分离工艺、以电熔ZrO2为原料制取粗ZrCl2工艺和Al-Y复合ZrO2粉的生产工艺等的研发工作,都取得了突破性进展。     

TiN/SiNx submicronic multilayer coatings obtained by chemical vapor deposition in a fluidized bed reactor at atmospheric pressure (AP/FBR-CVD)

TiN/SiN_x multilayer coatings were deposited on stainless steel by Chemical Vapor Deposition in a Fluidized Bed Reactor at Atmospheric Pressure (AP/FBR-CVD) by reaction of TiCl₄ and SiCl₄ with NH₃ at 850 °C. Due to the immiscibility of crystalline TiN and amorphous SiN_x, interdiffusion between layers is avoided even at the high working temperature. The thickness of the individual layer was in the nanometer range. Coatings were characterized by means of SEM, TEM, GD-OES, SIMS, XRD and nanoindentation. A mechanism for the growth rate and diffusion of Ti and Si into the steel is discussed.     

活性石灰/粉煤灰制备烧结烟气脱硫剂配比试验研究

本文研究了以钢铁企业常用物料活性石灰和自备电厂粉煤灰制备的脱硫剂,在循环流化床脱硫试验装置上进行了烧结烟气脱硫剂配比试验.试验结果表明,活性石灰与粉煤灰的质量比按1:2配置时,脱硫剂钙的利用率较高,具有较好的经济性.     

浅谈流化床干燥器布风板的设计

介绍流化床干燥器所用各种形式布风板的结构。并对其使用情况作了分析。特别对高温布风板的形式进行了探讨。     

气流床水煤浆气化技术的应用现状及开发进展

气流床水煤浆气化是煤高效、洁净利用的一项关键技术。简述了具有代表性的气流床水煤浆气化技术的应用现状及开发进展,并分析了影响水煤浆气化的主要因素,如烧嘴、耐火砖、进料系统、激冷环等,提出了一些改进措施。