纯镁表面硅烷/透明质酸钠复合涂层的结构及腐蚀性能研究

纯镁因较快的腐蚀速率使其用于手术移植材料成为了一个障碍。为了控制其降解速率,本研究采用BTSE(1,2-(三乙氧基硅基)乙烷)硅烷化处理和共键嫁接1-(3-二甲氨基丙基)-3-乙基碳二亚胺盐酸盐(EDC)/N-羟基丁二酰亚胺(NHS)交联改性的透明质酸钠涂层的两步制备工艺在纯镁上制备复合涂层。同时使用红外光谱(FTIR)、X射线光电子能谱(XPS)、原子力显微镜(AFM)和静态接触角方法(CA)分析涂层的物化性能,通过电化学行为分析涂层在模拟体液中的耐腐蚀性能。FTIR和XPS结果表明在纯镁表面上成功的制备出复合涂层;其他结果显示,交联透明质酸钠涂层表面较裸镁、硅烷表面更平整、光滑,且呈现出亲水性,提高了其生物活性;与未改性的纯镁相比,复合涂层的腐蚀电流密度减小了2个数量级,阻抗值提高3个数量级,表现出很好的耐腐蚀性能。表明这种复合涂层作为手术移植材料在医学上具有很大的应用前景。     

核屏蔽用中子吸收材料研究现状与展望

镉(Cd)、硼(B)和一些稀有元素具有较大的热中子吸收截面，在核屏蔽吸收中子领域具有较广泛的应用前景。本文概述了用于核电站乏燃料“湿法”贮存用中子吸收材料的种类，论述了各种中子吸收材料的优点和不足。阐述了铝基碳化硼(B4C/Al)中子吸收材料的研究进展以及不同制备方法的优点和不足，进一步介绍了搅拌摩擦焊方法和扩散焊方法在连接B4C/Al中子吸收材料过程中的优势。在此基础上，对新型中子吸收材料在成分、结构设计方面进行了分析，对未来核屏蔽用中子吸收材料进行了展望。     

Immobilization of simulated waste into pure Gd2Zr2O7 pyrochlore without space occupancy design

In this study, different molar ratios of Nd:Ce were directly mixed with prepared pure Gd₂Zr₂O₇ powders without space occupancy design. Samples were obtained by performing sparking plasma sintering (SPS) at 1750°C for 5 minutes. X-ray diffraction (XRD) results show that maximum solid solubility of simulated radionuclides can reach 50 mol%. In addition, all samples with the maximum solid solubility have high compactness, and all elements are evenly distributed on the surface of the samples. The samples show a better crystallization effect as the molar ratio of Nd:Ce increases. The maximum solid solubility increases from 42 mol% to 50 mol% when the amount of Nd₂O₃ reaches 66 mol%.     

Adaptive neural network command filtered backstepping control of pure‐feedback systems in presence of full state constraints

An adaptive neural network (NN) command filtered backstepping control is proposed for the pure‐feedback system subjected to time‐varying output/stated constraints. By introducing a one‐to‐one nonlinear mapping, the obstacle caused by full stated constraints is conquered. The adaptive control law is constructed by command filtered backstepping technology and radial basis function NNs, where only one learning parameter needs to be updated online. The stability analysis via nonlinear small‐gain theorem shows that all the signals in closed‐loop system are semiglobal uniformly ultimately bounded. The simulation examples demonstrate the effectiveness of the proposed control scheme.     

Corrosion of structural constituents of 2017 aluminium alloy in acidic solutions containing inhibitors

The objective of this study is to establish the corrosion behaviour of the most important structural constituents of the aluminium alloy 2017 in orthophosphoric acid solutions containing heteropolyoxomolybdate, tungstate and vanadate. These are potential candidates for replacing toxic hexavalent chromium species in stripping solution for anodic coatings. The corrosion rate of the alloy is estimated with linear polarisation method. It decreases from 0.58 mA cm⁻² in uninhibited solution to 0.10 mA cm⁻² in a solution containing heteropolyoxomolybdate species. Microscopic studies reveal that heteropolyoxomolybdate species inhibit corrosion of the matrix and intermetallic Al₁₅(Fe,Mn)₃(Si,Cu)₂ but not Mg₂Si. Intermetallic Al₂Cu remains not corroded. Heteropolyoxotungstate species virtually do not inhibit the corrosion of the alloy. The solution containing vanadium species is not stable with time and the corrosion rate is not determined. Nevertheless, corrosion of the matrix is inhibited, but intermetallics Al₁₅(Fe,Mn)₃(Si,Cu)₂ together with Mg₂Si are dissolved. X-ray photoelectron spectroscopy is used for examination of a corrosion product precipitated on the surface.     

Failure load prediction and optimisation for adhesively bonded joints enabled by deep learning and fruit fly optimisation

Adhesively bonded joints have been extensively employed in the aeronautical and automotive industries to join thin-layer materials for developing lightweight components. To strengthen the structural integrity of joints, it is critical to estimate and improve joint failure loads effectually. To accomplish the aforementioned purpose, this paper presents a novel deep neural network (DNN) model-enabled approach, and a single lap joint (SLJ) design is used to support research development and validation. The approach is innovative in the following aspects: (i) the DNN model is reinforced with a transfer learning (TL) mechanism to realise an adaptive prediction on a new SLJ design, and the requirement to re-create new training samples and re-train the DNN model from scratch for the design can be alleviated; (ii) a fruit fly optimisation (FFO) algorithm featured with the parallel computing capability is incorporated into the approach to efficiently optimise joint parameters based on joint failure load predictions. Case studies were developed to validate the effectiveness of the approach. Experimental results demonstrate that, with this approach, the number of datasets and the computational time required to re-train the DNN model for a new SLJ design were significantly reduced by 92.00% and 99.57% respectively, and the joint failure load was substantially increased by 9.96%.     

汽车发动机缸盖表面高锰酸盐转化膜工艺

汽车发动机缸盖为铝合金材质,为减少腐蚀并延长使用寿命,在实际生产过程中往往需要进行表面处理,进一步满足相应的环境安全性和适应性的要求。采用能耗少,操作简单的无铬化学氧化方法,利用电化学极化曲线、E-T曲线以及交流阻抗谱测试评估铝合金高锰酸盐化学转化膜在3.5%的NaCl水溶液中的耐蚀性能。实验结果表明,高锰酸盐转化膜在KMnO4 8 g/L,NaF 1 g/L,Na2ZrF6 0.06g/L,活性剂适量,pH值为2,处理温度为室温,浸泡时间为10 min得到了较好的化学转化膜。     

铝合金RTM模具制备设计研究

复合材料成型工艺中树脂传递模塑(RTM)成型已在航空航天、汽车等制造领域得到广泛应用。但由于传统钢制模具质量太大,限制了大型复合材料制件采用RTM成型工艺的发展。设计研究了采用铝合金制备RTM成型模具的减轻质量效果,分析了克服铝合金材质热膨胀系数对模具形变影响的解决方案。结果表明,铝合金模具减轻质量效果尤为明显,相较钢模减轻50%;通过减小模具型腔尺寸,提高注胶和脱模温度、设置必要的保护装置等方法,可克服铝合金热膨胀系数大、硬度低等缺陷;并且其成型出的制品表面光洁,内部无分层和脱胶现象,尺寸精度达到设计要求。     

高纯盐酸中钙镁离子的控制

分析高纯盐酸中钙镁离子的来源（如原料、冷凝酸、管道、阀门、密封件、盐酸贮槽）,提出了相应控制措施.     

无保护层激光冲击强化的热效应研究

目的 深入理解无保护层激光冲击强化(LSPwC)的物理过程。方法 对轧制TA2纯钛板材进行LSPwC处理,通过激光扫描显微镜、X射线应力仪分析试样的表面形貌和残余应力分布,使用透射电子显微镜分析LSPwC后试样表层的微观组织特征。使用Abaqus软件建立LSPwC过程的热力耦合仿真模型,分析试样温度和应力演变规律。结果 当激光脉冲能量为30 mJ、光斑直径为0.4 mm时,经LSPwC处理后TA2试样表面形成了厚度约为50μm的残余拉应力层,其最大残余压应力达到560 MPa,出现在距表面100μm的次表层;经LSPwC处理后TA2试样表面产生了超细马氏体晶,距表面100μm的微观组织表现为高密度位错缠结。随着激光脉冲能量和光斑直径的增大,激光热效应的持续时间增长、热影响深度增大,经LSPwC处理后TA2试样的残余压应力层深度增大。在LSPwC过程中,距表面10.2μm以内深度层的冷却速度超过10⁶℃/s,但冷却速度随着脉冲能量和光斑直径的增大而减小。结论 在LSPwC过程中,激光热效应和激光诱导冲击波作用,导致试样表层迅速升温,并发生塑性变形,然后快速降温,形成...