150t高温铝炉渣压滤机液压系统故障分析

简要介绍了研制的首台国产化高温铝炉渣压滤机 ,分析了该压滤机液压系统故障现象和排除方法。     

排土场渗流及其有限元分析

论述了排土场渗流补给和排泄的特点，建立了排土场渗流的数学模型，提出用有限元法进行排土场的渗流场模拟，并编制了排土场渗流有限元分析程序，针对某工程实例进行计算，计算结果较为合理。     

公园景观与城市景观融合的一次尝试--北京玉泉公园创作札记

北京玉泉公园是地处长安街延长线上的城市公园。规划设计采用中轴对称的主线，以序曲高潮尾声的音乐序列体现景深和主题，以游人活动为中心的集锦式景区分布，以创新来展示设计特色和个性，是一次将公园景观与城市景观融合的一次尝试，荣获北京市园林设计一等奖。     

液态浸渗后直接挤压铝基复合材料的组织特征

实验研究了液态浸渗后直接挤压工艺制备的氧化铝短纤维增强铝基复合材料（Ａｌ２Ｏ３ｓｆ／Ａｌ）的组织。发现其主要组织特征为：基体致密，为均匀细小的变形再结晶组织；纤维分布均匀，不存在相互搭桥、缠结和成束聚集现象；纤维保留了较大的长径比，其平均长径比大于临界长径比，能起到较好的增强承载作用。表明液态浸渗后直接挤压工艺具有消除缺陷、强化基体、改善纤维分布并避免纤维在成形过程中的破断与损伤等诸多优点。     

Cr12MoV钢等离子S、N、C复合共渗层组织与性能探讨

Cr12MoV钢在等离子渗氮的基础上，再在不同温度和气氛下采用等离子S-N-C复合处理工艺，在其表面形成一层硫的化合物层，通过光学显微镜、扫描电子显微镜、能谱仪和自制的划痕设备等对表面渗层的组织、性能以及它与基体的结构性能等进行了较详细的分析和探讨，指出了温度、气氛对表面渗层与基体结合强度的影响。     

Bridging Process Threshold for Sediment Infiltrating into a Coarse Substrate

Sand infiltration into gravel frameworks poses significant engineering and ecological difficulties. Ten flume experiments were conducted to quantify a sand bridging threshold in a static gravel bed. The D15?substrate/d85?sand ratio was computed for each of 37 unique sand-substrate pairs and the data were plotted, with previously published flume data, to determine the threshold between bridging and unimpeded static percolation. The process threshold boundary between bridging and unimpeded static percolation fell in the range of 12相似文献   

发电机推力轴承甩、渗油原因及处理

小浪底水电站发电机推力轴承甩、渗油问题不但严重影响机组的安全稳定运行和经济运行,还直接污染了环境。经过几年来的积极探索和治理,总结出了一套有效的漏油治理办法,取得了明显成效。     

高能超声半固态复合法制备SiC_p/ZL105复合材料

用渗流法制备高SiCp体积分数的预制块,再用超声波搅拌稀释的方法制备SiCp/ZL105复合材料,研究了超声波处理过程工艺参数对复合材料微观组织、性能的影响。结果表明,渗流法可以制备SiCp含量达55%～60%的预制块,采用超声波搅拌稀释预制块方法制备的SiCp/ZL105复合材料中SiCp含量为9%～23%,SiCp分散均匀,与基体结合良好;随着SiCp含量的增加,复合材料硬度提高,耐磨性能提高。     

A model based on eight iron metabolism-related genes accurately predicts acute myeloid leukemia prognosis

Purpose: Iron metabolism maintains the balance between iron absorption and excretion. Abnormal iron metabolism can cause numerous diseases, including tumor. This study determined the iron metabolism-related genes (IMRGs) signature that can predict the prognosis of acute myeloid leukemia (AML). The roles of these genes in the immune microenvironment were also explored. Methods: A total of 514 IMRGs were downloaded from the Molecular Characteristics Database (MSigDB). IMRGs related to AML prognosis were identified using Cox regression and LASSO analyses and were used to construct the risk score model. AML patients were stratified into high-risk groups (cluster 1) and low-risk groups (cluster 2) based on the mean value of the risk score. The accuracy and prognosis prediction potential of the risk-score model was evaluated using Kaplan-Meier and receiver operating characteristics analysis. The stromal score, immune scores, and immune cells infiltrated in AML samples were estimated using CIBERSORT, MCPcountre, and Xcell algorithms. The role of immune checkpoint genes in the AML microenvironment and the prognostic value of the IMRGs were also evaluated. Results: An AML prognosis prediction model was established based on the eight most critical IMRGs. Further analyses revealed that the model could accurately predict AML prognosis. The expression of IMRGs correlated with the infiltration of several immune cells and could influence response to certain chemotherapy drugs and immunotherapy. Conclusion: A model based on IMRGs can accurately predict the overall survival and disease-free survival of AML patients.