Effect of melting temperature on microstructural evolutions,behavior and corrosion morphology of Hadfield austenitic manganese steel in the casting process

In this study, the effect of melting temperature on the microstructural evolutions, behavior, and corrosion morphology of Hadfield steel in the casting process is investigated. The mold was prepared by the sodium silicate/CO₂ method, using a blind riser, and then the desired molten steel was obtained using a coreless induction furnace. The casting was performed at melting temperatures of 1350, 1400, 1450, and 1500℃, and the cast blocks were immediately quenched in water. Optical microscopy was used to analyze the microstructure, and scanning electron microscopy (SEM) and X-ray diffractrometry (XRD) were used to analyze the corrosion morphology and phase formation in the microstructure, respectively. The corrosion behavior of the samples was analyzed using a potentiodynamic polarization test and electrochemical impedance spectroscopy (EIS) in 3.5wt% NaCl. The optical microscopy observations and XRD patterns show that the increase in melting temperature led to a decrease of carbides and an increase in the austenite grain size in the Hadfield steel microstructure. The corrosion tests results show that with increasing melting temperature in the casting process, Hadfield steel shows a higher corrosion resistance. The SEM images of the corrosion morphologies show that the reduction of melting temperature in the Hadfield steel casting process induced micro-galvanic corrosion conditions.     

Mineral-phase evolution and sintering behavior of MO-SiO2-Al2O3-B2O3 (M=Ca,Ba) glass-ceramics by low-temperature liquid-phase sintering

In this work, network former SiO₂ and network intermediate Al₂O₃ were introduced into typical low-melting binary compositions CaO·B₂O₃, CaO·2B₂O₃, and BaO·B₂O₃ via an aqueous solid-state suspension milling route. Accordingly, multiple-phase aluminosilicate glass-ceramics were directly obtained via liquid-phase sintering at temperatures below 950℃. On the basis of liquid-phase sintering theory, mineral-phase evolutions and glass-phase formations were systematically investigated in a wide MO-SiO₂-Al₂O₃-B₂O₃ (M=Ca, Ba) composition range. The results indicate that major mineral phases of the aluminosilicate glass-ceramics are Al₂₀B₄O₃₆, CaAl₂Si₂O₈, and BaAl₂Si₂O₈ and that the glass-ceramic materials are characterized by dense microstructures and excellent dielectric properties.     

关于局部对称空间的几个Pinching定理

研究了局部对称空间中具有平行平均曲率向量的紧致伪脐子流形,利用活动标架法和Hopf极大值原理讨论了子流形的Pinching问题,即估算子流形第二基本形式模长的平方的Laplacian,再对截面曲率和Ricci曲率加以某种限制,得到这类子流形成为全脐子流形的几个拼挤定理.     

竖向偏心荷载作用下吸力桶荷载-变形特性非共轴本构数值分析

在竖向偏心荷载作用下建立吸力式桶形基础数值分析模型,采用砂土非共轴弹塑性本构模型研究土体主应力方向旋转和非共轴角度的变化规律,探讨非共轴特性对吸力桶力学特性的影响.主要研究结论表明:在地基变形过程中,非共轴角度呈现先增大后减小的发展趋势.随着偏心距的增加,等效塑性应变在地基中的分布范围逐渐减小,非共轴特性也将减弱,非共轴特性对荷载-变形特性的影响逐渐减弱.对于桶壁端部阻力和桶壁外侧摩擦阻力,非共轴特性的影响随着偏心距的增加而减弱.对于桶体顶部阻力和桶壁内侧摩擦阻力,非共轴特性的影响随着偏心距的增加而逐渐显著.     

不同轮伐期巨尾桉人工林的经济效益分析

【目的】探讨不同轮伐期对人工林经济效益的影响,为从经济视角科学确定人工林的合理轮伐期提供理论依据。【方法】以短(7a)、中(13a)、长(21a)轮伐期的南亚热带巨尾桉人工林为研究对象,对不同轮伐期巨尾桉人工林的蓄积量(Stand volume,SV)、营林成本、净现值(Net present value,NPV)和内部收益率(Internal rate of return,IRR)进行分析,揭示不同轮伐期对经济效益的影响。【结果】随着轮伐期的延长,巨尾桉人工林的蓄积量持续增长,7a、13a、21a轮伐期的蓄积量分别为144.95m~3/hm~2、346.97m~3/hm~2、553.69m~3/hm~2。随着轮伐期的延长,巨尾桉人工林净现值不断增加,在12a时达到最高值(30 297.61元/hm~2),之后逐渐降低,7a、21a轮伐期的净现值分别为17 239.86元/hm~2、22 008.59元/hm~2。内部收益率在13a开始趋近峰值(53.32%),明显高于7a时的39.29%。【结论】在南亚热带,巨尾桉人工林的轮伐期确定在13a左右较为适宜,既可实现经济效益最大化,又可大幅提升蓄积量。     

不同轮伐期对巨尾桉人工林碳固存的影响

【目的】深入探讨不同轮伐期对巨尾桉人工林碳固存的影响,为从应对全球气候变化的视角确定合理轮伐期提供理论依据。【方法】以轮伐期为短(7a)、中(13a)和长周期(21a)的巨尾桉人工林为研究对象,通过对不同轮伐期桉树林分生物量、碳固存、年平均固碳量的分析,揭示不同轮伐期对桉树林分碳固存的影响。【结果】巨尾桉人工林的生物量碳随着轮伐期的延长而逐渐增加,由7a轮伐期的(75.81±5.12)t·C/hm~2增至13a轮伐期的(180.11±19.97)t·C/hm~2以及21a轮伐期的(192.08±16.50)t·C/hm~2,方差分析表明,13a和21a轮伐期的总生物量碳显著高于7a轮伐期,而13a和21a轮伐期之间的差异不显著。巨尾桉人工林土壤有机碳随轮伐期延长而显著降低,由7a轮伐期的(89.99±0.35)t·C/hm~2、13a轮伐期的(85.42±0.76)t·C/hm~2下降到21a轮伐期的(74.64±0.24)t·C/hm~2。7~13a仍是巨尾桉人工林固碳能力迅速增长期,年平均总生物量碳由7a时的10.78t·C/(hm~2·a)迅速提高到13a的19.54t·C/(hm~2·a),增长81%;21a时巨尾桉人工林进入固碳能力下降期,年平均总生物量碳降至3.78t·C/(hm~2·a),固碳能力只是13a的19.34%。【结论】在南亚热带,巨尾桉人工林的最佳轮伐期确定在13a左右较为适宜,这与经济效益的最大化一致。     

近50年钦江水沙变化研究

【目的】分析钦江近50年来河流水沙变化特征,以及河床演变对水沙变化的响应。【方法】以钦江为研究对象,收集长时间序列的水沙和河床断面资料,基于小波分析、"3S"和Mann-Kendall非参数秩次相关检验等方法,分析水沙变化及其影响因素。【结果】20世纪60年代以来钦江水沙均呈现下降趋势,其中含沙量下降趋势尤为明显,水沙变化突变年份是1979年和1995年;夏半年的平均流量与平均输沙量分别占全年的58.62%和61.77%,年平均流量和年平均含沙量存在4~6年和15年的周期振荡特征;中游河床枯季先冲刷后淤积,下游则以冲刷为主;流量主要受降雨控制,而含沙量则主要受控于水土流失、森林保育和人口增长等多种因素。【结论】钦江水沙总体呈下降趋势,水土流失、水利工程和耗水量等人类活动是泥沙减少的重要影响因素。     

A Proof of the Duality of the DINA Model and the DINO Model

The Deterministic Input Noisy Output “AND” gate (DINA) model and the Deterministic Input Noisy Output “OR” gate (DINO) model are two popular cognitive diagnosis models (CDMs) for educational assessment. They represent different views on how the mastery of cognitive skills and the probability of a correct item response are related. Recently, however, Liu, Xu, and Ying demonstrated that the DINO model and the DINA model share a “dual” relation. This means that one model can be expressed in terms of the other, and which of the two models is fitted to a given data set is essentially irrelevant because the results are identical. In this article, a proof of the duality of the DINA model and the DINO model is presented that is tailored to the form and parameterization of general CDMs that have become the new theoretical standard in cognitively diagnostic modeling.     

Generalized Multivariate Gumbel Distributions——Dependence,Aging Properties and Applications

This paper introduces a generalized multivariate Gumbel (GMG) distribution using a survival copula. Various dependence properties of the GMG distribution and some analytical properties of the generators of the GMG distribution are studied. Furthermore, the authors also investigate the dependence behavior of the residual lifetime vector of the GMG distribution. As an illustration, the GMG distribution is applied to fit a real data set.     

A two-dimensional improvement for Farr-Gao algorithm

Farr-Gao algorithm is a state-of-the-art algorithm for reduced Gröbner bases of vanishing ideals of finite points, which has been implemented in Maple as a build-in command. This paper presents a two-dimensional improvement for it that employs a preprocessing strategy for computing reduced Gröbner bases associated with tower subsets of given point sets. Experimental results show that the preprocessed Farr-Gao algorithm is more efficient than the classical one.