选区激光熔化工艺参数对气雾化316L不锈钢粉末成形制品性能的影响

本研究系统考察了激光功率和扫描速度对316L不锈钢粉末选区激光熔化工艺成形熔道、制品微观组织及力学性能的影响,并分析了各类缺陷的形成原因。研究结果表明:在低激光功率和高扫描速度条件下,熔道中出现了大量球状颗粒,这些颗粒之间的空隙恶化了下一层粉末的熔化条件,这正是成形制品中熔道分布混乱以及孔洞、裂纹产生的根本原因,进而导致成形制品力学性能降低;在高激光功率和低扫描速度条件下,熔池快速升温/冷却的热应力作用增强,使得成形制品的熔道交界处也存在孔洞和裂纹等缺陷。在本研究实验条件下,激光功率为350 W,扫描速度为1750 mm/s时,SLM成形制品的力学性能最为优异,其中抗拉强度为731 MPa、屈服强度为638 MPa、断后伸长率为40.0%,致密度为96.27%。     

精轧和吐丝温度对SCM435线材氧化铁皮物相结构的影响

线材的氧化铁皮起着保护线材免锈蚀的作用,但是也需要在酸洗时容易除去。影响铁皮除去或结合力的主要是铁皮的厚度和其物相结构。通过对不同轧制条件下的氧化铁皮厚度、物相结构进行检测分析,研究了精轧温度和吐丝温度对φ12 mm SCM435氧化铁皮物相结构的影响。研究表明,随着精轧温度或吐丝温度的升高,SCM435线材的氧化铁皮厚度均会增加,且在800-900℃短时间就会生成较厚(约20μm)的氧化铁皮;由于Cr的氧化选择性,精轧温度在870℃以上,吐丝温度在810℃以上时,随精轧温度或吐丝温度升高,氧化铁皮中FeO比例提高;但是吐丝温度高于860℃后,物相结构的变化趋缓,FeO的比例变化不大。     

Oxide-Scale Evolution on a New Ni–Fe-Based Superalloy at High Temperature

Oxidation of Metals - The isothermal oxidation behavior and oxide-scale evolution on a newly developed Ni–Fe-based superalloy were investigated. Three oxidation stages were generally...     

Novel DDoS Feature Representation Model Combining Deep Belief Network and Canonical Correlation Analysis

Distributed denial of service (DDoS) attacks launch more and more frequently and are more destructive. Feature representation as an important part of DDoS defense technology directly affects the efficiency of defense. Most DDoS feature extraction methods cannot fully utilize the information of the original data, resulting in the extracted features losing useful features. In this paper, a DDoS feature representation method based on deep belief network (DBN) is proposed. We quantify the original data by the size of the network flows, the distribution of IP addresses and ports, and the diversity of packet sizes of different protocols and train the DBN in an unsupervised manner by these quantified values. Two feedforward neural networks (FFNN) are initialized by the trained deep belief network, and one of the feedforward neural networks continues to be trained in a supervised manner. The canonical correlation analysis (CCA) method is used to fuse the features extracted by two feedforward neural networks per layer. Experiments show that compared with other methods, the proposed method can extract better features.     

The Topology Sampling of H2SO4·NH3 with Meta-Dynamics Method

The configurations of molecular clusters have significant impacts on their growth into fine particles in atmosphere. In this paper, we explore the topology space of the structure of H2SO4·NH3 dimer with a novel sampling technique of meta-dynamics (MTD) method and ab initio molecular dynamics simulations. The simulations are carried out at the temperatures of both 50 K and 242 K, which represent the typical high and low latitudes of troposphere. The results show that, compared with only traditional MD simulations, the structure samplings are significantly accelerated with MTD method. Therefore, more isomers of the dimer are discovered within the same simulation time scale. In addition, the results show that MTD is more efficient for circumstances with high temperature.     

Fracture mechanics analysis of an anti-plane crack in gradient elastic sandwich composite structures

International Journal of Mechanics and Materials in Design - The strain gradient elasticity theory is applied to the solution of a mode III crack in an elastic layer sandwiched by two elastic...     

热处理对超硬高速钢M42冷拔材组织和塑性的影响

采用中间退火、炉冷退火及相变退火等工艺处理W2Mo9Cr4VCo8(AISI M42)超硬高速钢冷拔钢丝(Φ5.2 mm、Φ4.96 mm),研究分析了不同组织因素对M42材料形变硬化和塑性的影响规律。结果表明,位错密度、铁素体晶粒度及亚微米级碳化物,在不同程度上影响M42高速钢形变硬化和塑性失稳行为。800℃中间退火和860炉冷退火能够显著降低铁素体位错密度,在一定程度上恢复加工硬化能力、改善M42高速钢加工塑性。860℃加热+750℃等温相变退火能够获得低位错密度、细小晶粒内部弥散分布亚微米碳化物颗粒的均匀复相组织,有利于提高材料加工硬化能力,使M42钢延伸率提升至20%。     

程序升温法制备WP催化剂及其催化性能

以偏钨酸铵和磷酸氢二铵为原料,采用程序升温还原法制备体相WP催化剂,用质量分数0. 8%二苯并噻吩(DBT)溶液为模型化合物,考察磷化钨(WP)催化剂的加氢脱硫反应性能。采用XRD对催化剂进行表征,制备的WP催化剂移入固定床反应器前用体积分数10%H2S-Ar混合气体钝化,保证其结构未被破坏。实验表明,程序升温还原法成功制备出WP催化剂。WP催化剂具有良好的加氢性能,在WP催化剂上,二苯并噻吩主要以直接脱硫路径为主。     

Covalent Linkage of an R-ω-Transaminase to a d-Amino Acid Oxidase through Protein Splicing to Enhance Enzymatic Catalysis of Transamination

R-ω-Transaminases (RTAs) catalyse the conversion of R-configured amines [e.g., (R)-1-phenylethylamine] into the corresponding ketones (e.g., acetophenone), by transferring an amino group from an amino donor [e.g., (R)-1-phenylethylamine] onto an amino acceptor (e.g., pyruvate), resulting in a co-product (e.g., d -alanine). d -Alanine can be deaminated back to pyruvate by d -amino acid oxidase (DAAOs). Here, through in vivo subunit splicing, the N terminus of an RTA subunit (RTA^S) was specifically ligated to the C terminus of a DAAO subunit (DAAO^S) through native peptide bonds (RTA&DAAO). RTA^S is in close proximity to DAAO^S, at a molecular-scale distance. Thus the transfer of pyruvate and d -alanine between RTA and DAAO can be directional and efficient. Pyruvate→d -alanine→pyruvate cycles are efficiently formed, thus promoting the forward transamination reaction. In a different, in vitro noncovalent approach, based on coiled-coil association, the RTA^S N terminus was specifically associated with the DAAO^S C terminus (RTA#DAAO). In addition, the two mixed individual enzymes (RTA+DAAO) were also studied. RTA&DAAO has a shorter distance between the paired subunits (RTA^S–DAAO^S) than RTA#DAAO, and the number of the paired subunits is higher than in the case of RTA#DAAO, whereas RTA+DAAO cannot form the paired subunits. RTA&DAAO exhibited a transamination catalysis efficiency higher than that of RTA#DAAO and much higher than that of RTA+DAAO.     

轧机两侧刚度差的数字化分析与改善措施

轧机两侧刚度差是轧机功能精度的最重要指标之一，以弹跳方程为基础定量计算了轧机两侧刚度差对轧制稳定性的影响，主要包括调平值、调平值随轧制力的变化以及甩尾3个方面。以此为基础在某热轧线建立了轧机刚度评价体系，对轧机功能精度进行管控。同时，还分析了轧机两侧刚度差的影响因素，并在定量分析的基础上采取了一系列的改善措施，包括衬板、垫片维护、最大压靠轧制力和标定轧制力的调整等，使轧机刚度和轧制稳定性得到大幅提升。