Addressing amorphization and transgranular fracture of B4C through Si doping and TiB2 microparticle reinforcing

Over the last two decades, many studies have contributed to improving our understanding of the brittle failure mechanisms of boron carbide and provided a road map for inhibiting the underlying mechanisms and improving the mechanical response of boron carbide. This paper provides a review of the design and processing approaches utilized to address the amorphization and transgranular fracture of boron carbide, which are mainly based on what we have found through 9 years of work in the field of boron carbides as armor ceramics.     

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%.     

Classification of ceramics and glass (edge chipping and fracture toughness)

The standard classification of advanced ceramics is based on their strength, although in many cases the performance of products made of such materials is controlled by their deformation behavior and fracture resistance. In this article, ceramics and glass are classified according to their edge chipping resistance (EF-method). Such a classification is based on the idea of a baseline (direct proportionality between edge chipping resistance and fracture toughness of ceramics that are similar to the model material of linear elastic fracture mechanics). Use was made of various elastic and inelastic, oxide and non-oxide ordinary ceramics, composite ceramics capable and incapable of retarding cracks and intended for engineering and biomedical applications. Attention is also given to silicate glass.     

高延性水泥基复合材料的断裂性能分析

实验测试了不同纤维掺量下的高延性水泥基复合材料的载荷—挠度曲线,并对试件加载过程中的声发射信号进行收集,分析了试件断裂后的裂纹分布及纤维在基材中的破坏形式。结果发现:(1)当纤维体积掺量2.0%时,水泥基材的极限挠度、极限抗弯承载力分别可达20.16mm、19.47MPa;(2)高延性水泥基复合材料破坏主要来自于微裂纹的萌生、扩展以及损伤积累过程,试件从加载至完全破坏的时间为素水泥基复合材料破坏持续时间的2~5倍;(3)高延性水泥基复合材料中纤维的破坏以纤维被拔出和纤维被拉断两种模式,试件表现出明显的多缝开裂特征。     

火区综合治理技术研究与应用

改扩建矿井在建设期间,经常要用到矿井部分老巷道,这些老巷道顶帮普遍存在高冒区和破碎煤体松动裂隙区,容易引发火灾。针对这一问题,通过对金地煤业13号煤层火区治理的实践,获得了高冒区和破碎煤体松动裂隙区煤体的氧化、自燃及发生和发展规律,积累了大量火区治理技术和火区管理方面的经验,对其他矿区的火灾治理具有重要的借鉴意义。     

砂泥岩裂缝性储层测井识别及评价技术

致密砂岩裂缝储层形成的复杂油气藏,已经成为国内外油气勘探开发的焦点,常规勘探理论和方法在裂缝型油气藏评价中面临许多挑战,本文从砂泥岩裂缝型油气藏储层评价出发,分析各种常规预测裂缝有利发育带方法的优势和局限性,针对砂泥岩裂缝性储层识别这一难点,提出利用测井方法综合预测裂缝发育带的方法,指出储层裂缝预测研究存在的问题及发展趋势。     

定向拉伸对有机玻璃性能的影响

介绍了定向拉伸的原理,从工艺角度阐述了定向拉伸对有机玻璃性能的影响。     

下寺湾油田柳洛峪区长8油层组裂缝特征与开发效果关联评价

利用构造应力场的研究结果,结合岩心薄片观测和测井解释资料,本文对下寺湾油田柳洛峪区长8油层组裂缝特征进行了综合研究。结果表明：研究区长8储层微裂缝以构造缝为主,占微裂缝总数的70%;大部分为全充填缝（即闭合缝）;充填物成分主要为泥质,少数为方解石和铁质及其它充填物;压裂施工过程中当油井不存在过井天然缝时,压裂过程中破压明显,产生新人工缝。当存在过井天然缝时,压裂过程中破压不明显,人工缝沿天然裂缝延伸。长8层的裂缝方位与构造最大主应力方向一致,均为为北偏东70°左右。     

不同剪切速率下锡银铜系/镍金焊点的断裂行为研究

对锡银铜系高可靠性焊料合金的研究虽然已经较为广泛,但是缺乏对其焊点在不同应变速率下的剪切强度和断裂模式的研究。本文将牌号为SAC305和Innolot不同成分的锡银铜系焊料合金锡膏印刷在镍金镀层(Ni(P)/Au)上回流成BGA焊点,采用DAGE 4000 HS焊接强度测试仪进行不同剪切速率下的剪切性能测试,并对其剪切曲线、剪切强度及断裂能进行计算和分析,再采用金相显微镜和扫描电子显微镜(SEM)对焊点界面微观结构及断口进行表征分析。结果表明：合金本身成分的差异导致焊点界面金属间化合物层(IMC层)厚度和分布存在差异,随着剪切速率的增加,SAC305和Innolot合金焊点的强度总体上都随之增加,且焊点的断裂模式由焊点基体内部的韧性断裂向界面金属间化合物脆性断裂发生转变,Innolot合金由于其他金属元素添加导致的强化作用使得其剪切强度得到较大提升而塑性损伤。     

热轧低密度钢Fe-1.80Mn-1.05Al-0.09C的高温热塑性

采用Gleeble 3500热模拟试验机对一种低合金系热轧低密度钢进行了高温(760～1200℃)热塑性研究,并结合光学显微镜、体视显微镜以及扫描电镜对拉断后的断口附近组织和断口形貌进行了表征。结果表明,随着拉伸温度升高,断口面积逐渐缩小,韧窝也逐渐变大变深,断面收缩率总体表现良好,均达到80%以上,表现出了良好的高温热塑性。但是试验钢在900～1000℃进行拉伸时,出现了多处颈缩现象,900～1000℃时存在理论塑性低谷区,应避免在900～1000℃进行铸坯矫直或轧制。