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A novel formula for calculating repulsive forces in horizontally aligned nonferrous cylindrical particles within an Eddy current separator 用于计算涡流分离器内水平排列的有色金属圆柱形颗粒斥力的新公式
IF 4.5 2区 工程技术 Q2 ENGINEERING, CHEMICAL Pub Date : 2024-09-18 DOI: 10.1016/j.powtec.2024.120300
Eddy Current Separation (ECS) stands as a highly efficient recycling technology crucial for separating nonferrous particles from waste electrical and electronic equipment (WEEE). This process relies on repulsive forces induced by eddy currents as particles traverse the variable magnetic field of a rotating magnetic drum. Achieving optimal separation in this multifaceted process demands a careful selection of magnetic drum parameters. This study focuses on modeling the repulsive forces acting on diverse nonferrous particle shapes, with a particular emphasis on horizontally oriented cylindrical particles, and exploring their trajectories under various adjustable parameters. The effectiveness of the separator is intimately governed by these repellent magnetic forces. Our numerical model comprehensively accounts for the key magnetic and mechanical forces shaping particle movement. Through a dedicated Matlab program, simulations of trajectories are conducted, dissecting the influence of parameters such as separation angle, number of poles, electromagnetic drum velocity, and particle sizes. The findings, elucidated in detailed diagrams, offer a profound understanding of each parameter's impact, crucial for optimizing ECS processes.
涡流分离(ECS)是一种高效的回收技术,对分离废弃电气和电子设备(WEEE)中的有色金属颗粒至关重要。这种工艺依靠的是颗粒在旋转磁性滚筒的可变磁场中穿过时涡流引起的排斥力。要在这一多层面工艺中实现最佳分离效果,需要仔细选择磁鼓参数。本研究的重点是对作用于不同形状有色金属颗粒的斥力进行建模,尤其侧重于水平方向的圆柱形颗粒,并探索它们在各种可调参数下的运动轨迹。分离器的效果与这些排斥磁力密切相关。我们的数值模型全面考虑了影响颗粒运动的关键磁力和机械力。通过专用的 Matlab 程序,我们对轨迹进行了模拟,剖析了分离角、磁极数、电磁鼓速度和颗粒大小等参数的影响。研究结果通过详细的图表加以阐明,使人们对每个参数的影响有了深刻的了解,这对优化 ECS 流程至关重要。
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引用次数: 0
Examining particle size growth in twin screw granulation up to steady state with acoustic emissions 利用声发射检查双螺杆造粒过程中的粒度增长直至稳定状态
IF 4.5 2区 工程技术 Q2 ENGINEERING, CHEMICAL Pub Date : 2024-09-18 DOI: 10.1016/j.powtec.2024.120294

The transient evolution of granules was studied to learn new details about the underlying mechanism for continuous wet granulation in a twin-screw extruder. Sieving and a new inline PAT for particle size development was used to gain these insights. The onset for steady state was established based on observing a consistent PSD, which occurred at five times the mean residence time of the process, over a range of degrees of fill (DF; 12–30 %). The early stages of startup for granulation were captured by the inline PAT, showing different stages of granule growth for particle sizes ranging from 102 to 2230 μm. The analysis found that conveying elements have a stronger influence on granule growth at a low DF whereas the kneading zone had a stronger influence on granule growth at a higher DF. This study presents new details on this black-box process while highlighting the unique value of PAT to twin-screw granulation.

研究了颗粒的瞬态演变,以了解双螺杆挤出机中连续湿法造粒的基本机制的新细节。为了获得这些信息,我们使用了筛分和新的在线粒度分析仪。稳定状态的起始点是根据观察到的一致的 PSD 确定的,在填充度 (DF; 12-30 %) 的范围内,PSD 出现在工艺平均停留时间的五倍处。在线粒度分析仪捕捉到了制粒启动的早期阶段,显示了粒度从 102 微米到 2230 微米的颗粒生长的不同阶段。分析发现,输送元件在低 DF 时对颗粒生长的影响更大,而捏合区在高 DF 时对颗粒生长的影响更大。这项研究为这一黑箱工艺提供了新的细节,同时强调了 PAT 对双螺杆造粒的独特价值。
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引用次数: 0
A discrete element solution method embedded within a Neural Network 嵌入神经网络的离散元素求解方法
IF 4.5 2区 工程技术 Q2 ENGINEERING, CHEMICAL Pub Date : 2024-09-17 DOI: 10.1016/j.powtec.2024.120258
This paper introduces a novel methodology, the Neural Network framework for the Discrete Element Method (NN4DEM), as part of a broader initiative to harness specialised AI hardware and software environments, marking a transition from traditional computational physics programming approaches. NN4DEM enables GPU-parallelised computations by mapping particle data (coordinates and velocities) onto uniform grids as solution fields and computing contact forces by applying mathematical operations that can be found in convolutional neural networks (CNN). Essentially, this framework transforms a DEM problem into a series of layered “images” composed of pixels, using stencil operations to compute the DEM physics, which is inherently local. The method revolves around custom kernels, with operations prescribed by the laws of physics for contact detection and interaction. Therefore, unlike conventional AI methods, it eliminates the need for training data to determine network weights. NN4DEM utilises libraries such as PyTorch for relatively easier programmability and platform interoperability. This paper presents the theoretical foundations, implementation and validation of NN4DEM through hopper test benchmarks. An analysis of the results from random packing cases highlights the ability of NN4DEM to scale to 3D models with millions of particles. The paper concludes with potential research directions, including further integration with other physics-based models and applications across various multidisciplinary fields.
本文介绍了一种新颖的方法--离散元素法的神经网络框架(NN4DEM),作为利用专业人工智能硬件和软件环境的更广泛计划的一部分,标志着传统计算物理编程方法的过渡。NN4DEM 通过将粒子数据(坐标和速度)映射到统一网格上作为解场,并应用卷积神经网络(CNN)中的数学运算计算接触力,从而实现 GPU 并行计算。从本质上讲,该框架将 DEM 问题转化为一系列由像素组成的分层 "图像",并使用模版操作来计算 DEM 物理,而 DEM 物理本身就是局部的。该方法围绕自定义内核展开,根据接触检测和交互的物理定律进行操作。因此,与传统的人工智能方法不同,它无需通过训练数据来确定网络权重。NN4DEM 利用 PyTorch 等库来实现相对更简单的可编程性和平台互操作性。本文介绍了 NN4DEM 的理论基础、实现方法以及通过料斗测试基准进行的验证。对随机包装案例结果的分析突出表明,NN4DEM 能够扩展到具有数百万颗粒的三维模型。论文最后提出了潜在的研究方向,包括与其他物理模型的进一步整合以及在各个多学科领域的应用。
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引用次数: 0
Water interaction with MCC powder exposed to wetting–drying cycles: Comparison of capillary imbibition techniques 水与暴露于湿润-干燥循环中的 MCC 粉末的相互作用:毛细管浸润技术的比较
IF 4.5 2区 工程技术 Q2 ENGINEERING, CHEMICAL Pub Date : 2024-09-17 DOI: 10.1016/j.powtec.2024.120292
<div><div>We investigate how wetting-and-drying (WD) cycles change the properties of microcrystalline cellulose (MCC) powder (<em>Avicel PH101</em>), due to hornification, by performing the following experiments: (i) drop absorption in a slightly compressed powder bed, (ii) capillary imbibition in a packed powder column, and (iii) drop absorption into tablets obtained by direct compression. We use the MCC powder as received, as well as the powder obtained after one or more WD cycles. In each case, the powder is sieved and fractionated into two samples, with different particle size distribution. First, we perform drop absorption experiments using both water and silicone oil (Polydimethylsiloxane - PDMS) drops. We observe that WD cycles increase the absorption time for water, a particularly marked effect after the first cycle, for both particle size distributions. Comparing the absorption times of water and oil drops we obtain a parameter <span><math><mi>β</mi></math></span> that characterizes the water-MCC interaction in lieu of the contact angle, and accounts for both capillary and swelling phenomena. We observed that the main effect is produced after the first WD cycle exhibited by a large (more than 50%) reduction in the <span><math><mi>β</mi></math></span> value. Column imbibition experiments performed using water and PDMS show that, initially, water penetrates at a larger rate than PDMS. This initialing faster water uptake is more significant for larger particles and fewer WD cycles. A power law regime is obtained in each case with a <span><math><mi>ζ</mi></math></span> exponent. In particular, a Washburn-like imbibition regime with <span><math><mrow><mi>ζ</mi><mo>=</mo><mn>0</mn><mo>.</mo><mn>5</mn></mrow></math></span> is recovered at long times for both liquids. In the last experimental technique, we study the absorption of water drops deposited on tablets obtained by direct compression of the full distribution of powder particle sizes. We observe that absorption time increases with increasing number of WD cycles of the MCC powder. This is quantified by the 30% reduction of the <span><math><mi>ζ</mi></math></span> exponent that models the penetration rate of the drop.</div><div>In summary, we use three kinds of experiments that cover a wide range of characteristic time scales to quantify the effect of WD cycles on the interaction of water with a swelling powder like MCC. The importance of comparing responses under different timescales is that the swelling phenomenon modifies the properties of the material in time, while imbibition happens. It is shown by this study that in some cases, the phenomena can be decoupled (droplet absorption in porous media) while in other cases it cannot be (droplet on tablets and intermediate times in capillary rise). Finally, at long times in capillary rise, even when the swelling and imbibition effects are not decoupled, it is possible to estimate the permeability ratio, <span><math><mi>χ</mi></math></span>,
我们通过以下实验研究了润湿干燥(WD)循环如何改变微晶纤维素(MCC)粉末(Avicel PH101)的角化特性:(i)在轻微压缩的粉末床中的液滴吸收,(ii)在填料粉末柱中的毛细管浸润,以及(iii)通过直接压缩获得的片剂中的液滴吸收。我们使用收到的 MCC 粉末以及经过一个或多个 WD 循环后得到的粉末。在每种情况下,粉末都经过筛分,并分成两个具有不同粒度分布的样品。首先,我们使用水和硅油(聚二甲基硅氧烷 - PDMS)滴进行滴吸收实验。我们观察到,对于两种粒度分布的样品,WD 周期都会增加水的吸收时间,在第一个周期后效果尤为明显。通过比较水滴和油滴的吸水时间,我们得出了一个参数 β,它可以代替接触角来描述水-MCC 的相互作用,并同时考虑到毛细现象和膨胀现象。我们观察到,主要影响是在第一个 WD 周期之后产生的,表现为 β 值的大幅降低(超过 50%)。使用水和 PDMS 进行的柱浸泡实验表明,最初水的渗透率大于 PDMS。对于较大的颗粒和较少的 WD 周期,这种初期较快的吸水速度更为显著。在每种情况下,都会出现ζ指数的幂律机制。特别是,两种液体在长时间内都恢复了ζ=0.5 的类似于沃什伯恩的吸水状态。在最后一项实验技术中,我们研究了沉积在由粉末粒度全分布直接压缩得到的片剂上的水滴的吸收情况。我们观察到,吸收时间随着 MCC 粉末 WD 周期的增加而增加。总之,我们使用了三种实验来量化 WD 周期对水与 MCC 等膨胀粉末相互作用的影响,这些实验涵盖了广泛的特征时间尺度。比较不同时间尺度下的反应的重要性在于,溶胀现象会在时间上改变材料的特性,而浸润现象则会发生。本研究表明,在某些情况下(多孔介质中的液滴吸收),这些现象可以解耦,而在另一些情况下(片剂上的液滴和毛细管上升的中间时间)则无法解耦。最后,在毛细管上升时间较长的情况下,即使溶胀效应和浸润效应没有解耦,也可以估算出渗透率比值 χ 及其与 WD 周期的关系。在不进行加湿器循环的情况下,渗透率下降了约 8 倍,而在进行一次和两次加湿器循环的情况下,渗透率的下降幅度要小得多(小颗粒和大颗粒的下降幅度分别为 2 倍和 3 倍)。我们能够定量地描述水-MCC 相互作用的影响,这对于预测某些制药工艺(如湿制粒)将会受到的影响非常重要。
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引用次数: 0
Trajectory and impact dynamics of snowflakes: Fundamentals and applications 雪花的轨迹和撞击动力学:基础与应用
IF 4.5 2区 工程技术 Q2 ENGINEERING, CHEMICAL Pub Date : 2024-09-17 DOI: 10.1016/j.powtec.2024.120298

This review paper examines the dynamics of snow accumulation on vehicle surfaces and its impacts on vehicle performance and safety. It focuses on the use of computational fluid dynamics (CFD) to model snow ingress in vehicle air intakes and its interactions with sensors in advanced driver assistance systems (ADAS). Central to these studies is the coefficient of restitution (COR), which measures the elastic properties of snow upon collision with vehicle surfaces. The paper provides an overview of various turbulence models, such as large eddy simulation (LES) and Reynolds-averaged Navier-Stokes (RANS), assessing their effectiveness in simulating the aerodynamic fields that affect snow trajectories. It critically reviews existing models and highlights recent experimental studies related to COR of snowflakes based on different impact velocities and particle conditions. The discussion on the practical implementation of these findings in automotive design underscores their importance in enhancing vehicle safety and reliability under extreme weather conditions.

本综述论文探讨了车辆表面积雪的动态变化及其对车辆性能和安全的影响。文章重点介绍了使用计算流体动力学 (CFD) 模拟车辆进气口积雪及其与高级驾驶辅助系统 (ADAS) 传感器之间的相互作用。这些研究的核心是测量雪与车辆表面碰撞时弹性特性的回归系数 (COR)。本文概述了各种湍流模型,如大涡流模拟 (LES) 和雷诺平均纳维-斯托克斯 (RANS),评估了它们在模拟影响积雪轨迹的空气动力场方面的有效性。报告对现有模型进行了严格审查,并重点介绍了基于不同撞击速度和颗粒条件的雪花 COR 的最新实验研究。关于在汽车设计中实际应用这些研究成果的讨论强调了它们在极端天气条件下提高车辆安全性和可靠性的重要性。
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引用次数: 0
Investigation of the impact of optical glass composition on ceria slurry stability during chemical mechanical polishing process 研究光学玻璃成分对化学机械抛光过程中铈浆稳定性的影响
IF 4.5 2区 工程技术 Q2 ENGINEERING, CHEMICAL Pub Date : 2024-09-16 DOI: 10.1016/j.powtec.2024.120290

In Chemical Mechanical Polishing (CMP) using ceria-based abrasives, a key challenge is maintaining particle stability to ensure consistent, reproducible, and predictable polishing results. Given the combined nature of CMP, involving both chemical reactions and mechanical abrasion, it is widely believed that during the polishing process, chemical compounds from the glass dissolve into the slurry, leading to changes in its chemical composition, which can affect stability and particle size distribution. However, these assumptions have primarily been based on simulations or speculative suggestions rather than direct experimental evidence. To investigate this further, experiments were conducted using three types of glass representing high, medium, and zero alkali content polished with both 400 nm and 80 nm ceria abrasives. A substantial increase in the slurry pH was observed when polishing soda-lime-silicate and borosilicate glass with 400 nm abrasives, whereas the pH remained stable when polishing fused silica glass. Notably, polishing with 80 nm abrasives did not affect the pH levels across the different glass types. Zeta potential measurements, particle size distribution, and real-time imaging provided insights into ceria particle aggregation and dispersion. Scanning Electron Microscopy (SEM) further confirmed changes in particle behavior. The findings of this study demonstrate that the polishing of alkali-containing glasses using larger ceria abrasives alters slurry chemistry and modifies particle size distribution. These findings provide new insights into the complex interactions between slurry chemistry, particle size, and glass composition in CMP, highlighting the need for careful control of abrasive properties during the process to ensure consistent and stable polishing performance.

在使用铈基磨料进行化学机械抛光 (CMP) 时,一个主要挑战是保持颗粒的稳定性,以确保获得一致、可重现和可预测的抛光效果。鉴于化学机械抛光(CMP)涉及化学反应和机械磨损的综合性质,人们普遍认为,在抛光过程中,玻璃中的化学物质会溶解到研磨液中,导致研磨液的化学成分发生变化,从而影响稳定性和粒度分布。然而,这些假设主要是基于模拟或推测建议,而不是直接的实验证据。为了进一步研究这个问题,我们使用三种玻璃进行了实验,分别代表高碱、中碱和零碱含量,并使用 400 纳米和 80 纳米铈磨料进行抛光。在使用 400 纳米磨料抛光钠钙硅酸盐和硼硅酸盐玻璃时,观察到泥浆 pH 值大幅上升,而在抛光熔融石英玻璃时,pH 值保持稳定。值得注意的是,使用 80 纳米磨料抛光不会影响不同类型玻璃的 pH 值。Zeta电位测量、粒度分布和实时成像提供了有关铈颗粒聚集和分散的信息。扫描电子显微镜(SEM)进一步证实了颗粒行为的变化。本研究的结果表明,使用较大的铈磨料抛光含碱玻璃会改变浆料化学性质并改变粒度分布。这些发现为了解 CMP 中研磨液化学性质、粒度和玻璃成分之间复杂的相互作用提供了新的视角,突出了在加工过程中仔细控制磨料特性以确保一致和稳定的抛光性能的必要性。
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引用次数: 0
Raman spectroscopy study of structural changes in pyrophyllite ore minerals induced by mechanochemical milling 拉曼光谱研究机械化学研磨诱导的辉绿岩矿石矿物结构变化
IF 4.5 2区 工程技术 Q2 ENGINEERING, CHEMICAL Pub Date : 2024-09-16 DOI: 10.1016/j.powtec.2024.120291

Mechanical milling of the pyrophyllite ore leads to an increase in material chemical reactivity. This is a consequence of structural changes occurring during the milling process and depends on the milling time. This work aims to investigate structural changes caused by the mechanical milling of pyrophyllite ore using Raman spectroscopy for possible application in wastewater remediation. It was shown that the quartz bands at 122 cm−1 or 459 cm−1 could be references for tracking the phyllosilicate and calcite structural changes. The intensity ratio of quartz and phyllosilicate/calcite bands increases considerably with increasing milling time. Also, the Full Width at Half Maximum (FWHM) evolution of the 257 cm−1, 701 cm−1, and 1078 cm−1 bands has a similar trend as the mentioned intensity ratio. Based on the obtained results, it can be concluded that Raman spectroscopy is a suitable tool for structural changes monitoring in this natural clay caused by mechanical milling.

对辉绿岩矿石进行机械研磨会提高材料的化学反应活性。这是研磨过程中发生结构变化的结果,取决于研磨时间。这项工作的目的是利用拉曼光谱研究机械研磨辉绿岩矿石所引起的结构变化,以便在废水修复中加以应用。研究表明,122 cm-1 或 459 cm-1 处的石英带可作为跟踪辉硅酸盐和方解石结构变化的参考。随着研磨时间的延长,石英带和植硅体/方解石带的强度比显著增加。此外,257 cm-1、701 cm-1 和 1078 cm-1 波段的半最大全宽(FWHM)变化趋势与上述强度比相似。根据所获得的结果,可以得出结论:拉曼光谱是监测这种天然粘土因机械研磨而产生的结构变化的合适工具。
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引用次数: 0
Analyzing strain localization of Chang'E-5 lunar regolith through discrete element analysis 通过离散元分析法分析嫦娥五号月球碎屑的应变定位
IF 4.5 2区 工程技术 Q2 ENGINEERING, CHEMICAL Pub Date : 2024-09-16 DOI: 10.1016/j.powtec.2024.120293

The current understanding of the geotechnical behavior of lunar in-situ resources, particularly lunar regolith (LR), is significantly limited due to its scarcity. To address this gap, this research utilized the morphological characteristics of LR particles obtained from the Chang'E-5 (CE-5) mission to construct numerical simulants using the discrete element method (DEM). This approach was then employed to investigate the mechanical properties of LR. Firstly, high-definition lunar particle images from the CE-5 mission were selected to capture the morphological characteristics and grain size distribution. These morphological characteristics were linked with the rolling resistance parameter and incorporated into the three-dimensional (3D) micromechanical contact model. Additionally, a flexible boundary condition was employed in the triaxial simulation to ensure the evolution of strain localization. The relative particle translation gradient (RPTG) concept was utilized to capture the onset and development of strain localization during the shear process. The results indicated that the numerical lunar simulants can effectively reproduce the mechanical response of LR. Furthermore, at the particle scale, particle shape characteristics play a crucial role in particle rotation and translation during the shear process. This study may establish a foundation for lunar resource exploration and utilization techniques.

由于月球资源稀缺,目前对月球原位资源,尤其是月球碎屑岩(LR)岩土力学行为的了解非常有限。为了填补这一空白,本研究利用从嫦娥五号(CE-5)任务中获取的 LR 颗粒形态特征,采用离散元法(DEM)构建了数值模拟模型。然后采用这种方法研究 LR 的力学特性。首先,选择了嫦娥五号任务中的高清月球颗粒图像,以捕捉其形态特征和粒度分布。这些形态特征与滚动阻力参数相关联,并被纳入三维(3D)微机械接触模型。此外,在三轴模拟中还采用了柔性边界条件,以确保应变定位的演变。利用相对颗粒平移梯度(RPTG)概念来捕捉剪切过程中应变局部化的开始和发展。结果表明,数值月球模拟能有效地再现 LR 的机械响应。此外,在颗粒尺度上,颗粒的形状特征对剪切过程中颗粒的旋转和平移起着至关重要的作用。这项研究可为月球资源勘探和利用技术奠定基础。
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引用次数: 0
Development of a low-damage maize threshing system based on discrete element technology to effectively improve maize harvest quality and yield 开发基于离散元件技术的低损伤玉米脱粒系统,有效提高玉米收获质量和产量
IF 4.5 2区 工程技术 Q2 ENGINEERING, CHEMICAL Pub Date : 2024-09-16 DOI: 10.1016/j.powtec.2024.120297

During maize harvesting, the mechanical action and suboptimal design of threshing systems often lead to kernel breakage and loss, which can reduce both maize quality and yield. This study introduces a novel rasp bar threshing element designed to minimize kernel loss. The effects of the structural parameters of this threshing element on its performance are analyzed using a flexible discrete element model of maize. Moreover, the performance of the novel threshing element is compared to that of a traditional threshing element, and the simulation results are verified through experimental tests. Test data shows that, compared to the traditional threshing element, the novel threshing element results in a relative decrease of 26.94 %, 21.95 %, and 27.05 % in the broken rate, unthreshed rate, and the entrainment loss rate, respectively. Finally, this research provides technical support for high-quality, low-loss maize production.

在玉米收获过程中,脱粒系统的机械作用和次优设计往往会导致籽粒破损和损失,从而降低玉米质量和产量。本研究介绍了一种新型耙杆脱粒元件,旨在最大限度地减少籽粒损失。研究利用玉米的柔性离散元件模型,分析了该脱粒元件的结构参数对其性能的影响。此外,还将新型脱粒元件的性能与传统脱粒元件的性能进行了比较,并通过实验测试验证了模拟结果。试验数据显示,与传统脱粒元件相比,新型脱粒元件使破碎率、未脱粒率和夹带损失率分别相对降低了 26.94 %、21.95 % 和 27.05 %。最后,这项研究为高质量、低损耗的玉米生产提供了技术支持。
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引用次数: 0
High nitrogen steels produced by laser powder bed fusion – Processability of an additivated austenitic steel powder 通过激光粉末床熔融技术生产高氮钢 - 添加钝化奥氏体钢粉的可加工性
IF 4.5 2区 工程技术 Q2 ENGINEERING, CHEMICAL Pub Date : 2024-09-16 DOI: 10.1016/j.powtec.2024.120289
The additivation of conventional metal powders allows the expansion of the range of materials and alloys suitable for powder bed fusion additive manufacturing of metals. The combination of material properties, the improvement of currently used powder properties, and their processability are the focus of this technique. This work investigates the influence of the additivation of Si3N4 particles to X2CrNi18–9 austenitic stainless-steel powder on the resulting powder properties and processability by PBF-LB/M. The aim is to process a composite material consisting of a steel matrix in which retained Si3N4 particles are embedded. A subsequent heat treatment by hot isostatic pressing should allow dissociation of Si3N4 and the associated nitrogen diffusion into the austenitic matrix to produce a high nitrogen steel (HNS). Despite some degradation in powder properties, as indicated by a decrease in the Hausner ratio from 1.24 to 1.15, PBF-LB/M successfully produced samples in a process window of 30–36 J/mm3.
通过对传统金属粉末进行添加活化,可以扩大适用于粉末床熔融添加制造金属的材料和合金的范围。材料特性的组合、目前使用的粉末特性的改进及其加工性是这项技术的重点。这项工作研究了在 X2CrNi18-9 奥氏体不锈钢粉末中添加 Si3N4 颗粒对 PBF-LB/M 所产生的粉末性能和可加工性的影响。目的是加工一种复合材料,该材料由钢基体和嵌入的 Si3N4 颗粒组成。随后通过热等静压进行热处理,可使 Si3N4 解离并使相关氮扩散到奥氏体基体中,从而生产出高氮钢 (HNS)。尽管粉末性能有所下降(豪斯纳比率从 1.24 降至 1.15),PBF-LB/M 仍能在 30-36 J/mm3 的工艺窗口内成功生产出样品。
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引用次数: 0
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