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Effects of promoter and dedoping process on electrorheological response of polyaniline-graft-chitosan copolymer 促进剂和掺杂工艺对聚苯胺-接枝壳聚糖共聚物电流变响应的影响
Pub Date : 2024-05-18 DOI: 10.1142/s0217984924420077
M. Cabuk, Mustafa Yavuz, H. Unal
In this study, electrorheological (ER) properties of biodegradable and conducting polyaniline-graft-chitosan (PAni-g-CS) copolymer particles were investigated. For this purpose, PAni and PAni-g-CS particles were synthesized by using in situ oxidative radicalic polymerization method. At first, PAni and PAni-g-CS/silicone oil (SO) ER suspensions (15% V/V) were subjected to external electric field and they exhibited low ER activity. When the external electric field strengths ([Formula: see text] were increased, both the suspensions showed electrical breakdown. Therefore, virgin PAni and PAni-g-CS were first subjected to dedoping process by treating with 1.0 M NaOH(aq) and non-ionic surfactant Triton X-100 (T-X) surfactant to enhance the expected ER activity and prevent the electrical breakdown. But we observed that the addition of T-X as promoter had no significant effect on the ER activity. On the other hand, electric filed-induced viscosities of both the suspensions were observed to enhance after the dedoping (DD) process and electrical breakdown prohibited. After the DD process, DD PAni-g-CS/SO ER system exhibited the highest electric field-induced viscosity by reaching 400[Formula: see text]Pa[Formula: see text]⋅[Formula: see text]s at [Formula: see text][Formula: see text]kV/mm. The highest ER efficiency was also obtained for DD PAni-g-CS/SO system at 15% (V/V) as 79. Additionally, typical shear thinning non-Newtonian viscoelastic behavior was observed under externally applied E. The conduction model of DD PAni-g-CS/SO system was determined to well fit the conduction model by showing a slope of [Formula: see text] calculated from the E vb. yield stress graph. In conclusion, conducting and biodegradable-dedoped PAni-g-CS particles would be a good candidate for potential ER applications as dry-based ER materials having high colloidal stability of 76%.
本研究调查了可生物降解的导电聚苯胺-接枝壳聚糖(PAni-g-CS)共聚物颗粒的电流变(ER)特性。为此,采用原位氧化自由基聚合法合成了 PAni 和 PAni-g-CS 颗粒。首先,将 PAni 和 PAni-g-CS/ 硅油(SO)ER 悬浮液(15% V/V)置于外电场中,它们表现出较低的ER活性。当外电场强度([公式:见正文])增加时,两种悬浮液都出现了电击穿。因此,我们首先用 1.0 M NaOH(aq)和非离子表面活性剂 Triton X-100(T-X)对原始 PAni 和 PAnii-g-CS 进行了掺杂处理,以提高预期的ER活性并防止电击穿。但我们观察到,添加 T-X 作为促进剂对 ER 活性没有显著影响。另一方面,我们观察到两种悬浮液的电锉诱导粘度在掺杂(DD)过程后都有所提高,电击穿现象也被禁止。经过 DD 处理后,DD PAni-g-CS/SO ER 系统的电场诱导粘度最高,在[式:见正文][式:见正文][式:见正文]kV/mm 时达到 400[式:见正文]Pa[式:见正文]⋅[式:见正文]s。DD PAni-g-CS/SO 系统在 15%(V/V)作为 79 时也获得了最高的 ER 效率。此外,在外部施加 E 的情况下,观察到了典型的剪切稀化非牛顿粘弹性行为。根据 E vb. 屈服应力图计算得出的斜率为[式:见正文],因此确定 DD PAni-g-CS/SO 系统的传导模型非常适合传导模型。总之,导电且可生物降解的掺杂 PAni-g-CS 颗粒将成为潜在 ER 应用的良好候选材料,作为干基 ER 材料,其胶体稳定性高达 76%。
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引用次数: 0
A novel design of layered recurrent neural networks for fractional order Caputo–Fabrizio stiff electric circuit models 针对分数阶卡普托-法布里齐奥僵硬电路模型的分层递归神经网络新设计
Pub Date : 2024-05-18 DOI: 10.1142/s0217984924503937
Aneela Kausar, Chuan-Yu Chang, Muhammad Asif Zahoor Raja, Muhammad Shoaib
Electrical engineering models often rely on complex circuit configurations that facilitate the dynamic flow of electrically charged particles within a closed conductive network. These circuits serve as essential tools for simulating and analyzing diverse electrical systems and components. This paper introduces a study on nonlinear fractional circuits modeling through the development of a stochastic neuro-computational artificial intelligent-based solver to address mathematical models governing the Fractional order Caputo–Fabrizio stiff electric circuit model (FO-CFSECM) by manipulating the knacks of layered recurrent neural networks (LRNNs) trained with Gradient-based local search algorithm (GLA). In fractional calculus, the Caputo–Fabrizio (CF) fractional order derivative (FOD) emerges as a powerful instrument, binding its capabilities to deliver remarkably accurate solutions for fractional stiff systems. The objective of this work is to exploit the numerical treatment comprehensively for the dynamics of fractal Resistor–Capacitor (RC) and fractal Resistor–Inductor (RL) circuit models by introducing the CF fractional operator. Through the application of artificial intelligence-based soft computing and advanced back-propagative deep neural networks, a deeper understanding of the behavior and distinctive characteristics inherent in these models is sought. The Levenberg–Marquardt optimizer serves as an efficient training GLA tool for learning of LRNNs weights of fractal RL/RC circuit models. The comparative studies on variants of FO-CFSECM demonstrate that LRNNs achieve an impressive mean square error (MSE) ranging from 10[Formula: see text] to 10[Formula: see text] and absolute error (AE) within 10[Formula: see text] to 10[Formula: see text]. The accuracy, reliability, and efficiency of LRNNs for solving the FO-CFSECM were further validated through MSE, AE, controlling parameters of state transitions, error histograms, and correlation measures.
电气工程模型通常依赖于复杂的电路配置,以促进带电粒子在封闭导电网络中的动态流动。这些电路是模拟和分析各种电气系统和组件的重要工具。本文通过开发一种基于随机神经计算的人工智能求解器,介绍了非线性分数电路建模研究,该求解器通过操纵使用基于梯度的局部搜索算法(GLA)训练的分层递归神经网络(LRNNs)的诀窍,来处理管理分数阶卡普托-法布里齐奥僵硬电路模型(FO-CFSECM)的数学模型。在分数微积分中,卡普托-法布里齐奥(Caputo-Fabrizio,CF)分数阶导数(FOD)是一种强大的工具,它能为分数刚性系统提供非常精确的解决方案。这项工作的目的是通过引入 CF 分数算子,对分形电阻器-电容器 (RC) 和分形电阻器-电感器 (RL) 电路模型的动力学进行全面的数值处理。通过应用基于人工智能的软计算和先进的反向传播深度神经网络,深入理解了这些模型的内在行为和显著特征。Levenberg-Marquardt 优化器是学习分形 RL/RC 电路模型的 LRNNs 权重的高效训练 GLA 工具。对 FO-CFSECM 变体的比较研究表明,LRNNs 的均方误差(MSE)在 10[公式:见正文]到 10[公式:见正文]之间,绝对误差(AE)在 10[公式:见正文]到 10[公式:见正文]之内,令人印象深刻。通过 MSE、AE、状态转换的控制参数、误差直方图和相关测量,进一步验证了 LRNNs 解决 FO-CFSECM 的准确性、可靠性和效率。
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引用次数: 0
Reducing global warming and mitigating PM2.5 air pollution with electrorheology 用电流变学减少全球变暖和减轻 PM2.5 空气污染
Pub Date : 2024-05-18 DOI: 10.1142/s0217984924420089
R. Tao, Xiaojun Xu, Zhi Chen
Black carbon, a part of harmful PM2.5 air pollution, is the second largest contributor to global warming. Due to per unit of mass, black carbon has a warming impact on climate 460–1,500 times stronger than CO2. UNEP emphasizes that the black carbon issue is more urgent than CO2 now. Unfortunately, current technologies cannot help large factories in preventing emission of black carbon particles into air because they fail to catch them effectively. Therefore, a new technology, which can catch black carbon and other PM2.5 pollution effectively, is critically needed. Here we report that electrorheology is the solution we are looking for. Under a strong electric field, black carbon and other particles are polarized. When the polluted air flow becomes a special flow with pollution particles moving adjacent to the electrodes, black carbon and other particles are captured by the electrodes effectively. Our tests have confirmed that with this technology, more than 98% black carbon and other PM2.5 particles can be caught. Moreover, this technology is not only suitable as incoming air filters, but also appropriate for large factories in preventing emitting black carbon and pollution into air. We hope that electrorheology will improve our environment and reduce global warming effectively.
黑碳是有害的 PM2.5 空气污染的一部分,是导致全球变暖的第二大因素。按单位质量计算,黑碳对气候变暖的影响是二氧化碳的 460-1,500 倍。联合国环境规划署强调,目前黑碳问题比二氧化碳问题更为紧迫。遗憾的是,目前的技术无法帮助大型工厂防止向空气中排放黑碳颗粒,因为它们无法有效捕捉黑碳颗粒。因此,亟需一种能有效捕捉黑碳和其他 PM2.5 污染物的新技术。我们在此报告的电流变技术正是我们正在寻找的解决方案。在强电场的作用下,黑碳和其他颗粒会被极化。当污染气流变成特殊气流,污染颗粒在电极附近移动时,黑碳和其他颗粒就会被电极有效捕获。我们的测试证实,利用这项技术可以捕获 98% 以上的黑碳和其他 PM2.5 颗粒。此外,这项技术不仅适用于进风过滤器,也适用于大型工厂防止向空气中排放黑碳和污染。我们希望电热力学能改善我们的环境,有效减少全球变暖。
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引用次数: 0
Investigation of soliton solutions for the NWHS model with temperature distribution in an infinitely long and thin rod 无限细长杆中温度分布的 NWHS 模型孤子解研究
Pub Date : 2024-05-18 DOI: 10.1142/s0217984924503925
M. Z. Baber, Hadi Rezazadeh, M. Iqbal, Nauman Ahmed, M. Yasin, M. A. Hosseinzadeh
This study proposed a modified [Formula: see text]-expansion method to seek the new exact traveling wave solutions of the Newell–White–Head–Segel (NWHS) Model. This is an amplitude equation utilized for distributing temperature within a rod that is infinitely thin and long, or determining the flow velocity of a fluid through a pipe that is infinitely long but has a small diameter. The modified [Formula: see text]-expansion method is used to extract the new exact solutions. The solutions of this model are categorized in hyperbolic, trigonometric, and rational forms. Moreover, we compare our results with the new auxiliary equation method. The 3D, line and corresponding contour representation of these solutions are depicted by choosing the different values of parameters.
本研究提出了一种改进的[公式:见正文]展开方法,用于寻求纽维尔-白头-西格尔(NWHS)模型的新精确行波解。这是一个振幅方程,用于在无限细长的杆内分布温度,或确定流体通过无限长但直径很小的管道的流速。修改后的[公式:见正文]展开法用于提取新的精确解。该模型的解分为双曲型、三角型和有理型。此外,我们还将结果与新的辅助方程法进行了比较。通过选择不同的参数值,描绘了这些解的三维、线性和相应的等值线表示。
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引用次数: 0
Strain engineering of electronic, mechanical, and optical properties of orthorhombic III–V group monolayers by first principles calculations 通过第一性原理计算正交Ⅲ-Ⅴ族单层的电子、机械和光学特性的应变工程学
Pub Date : 2024-05-18 DOI: 10.1142/s0217984924503755
Xuehu Jin, Can Yao, Yunxi Qi, Jun Zhao, Hui Zeng
Using first principles calculations, we systematically investigated the effects of strain engineering on the electronic, mechanical, and optical properties of two-dimensional (2D) orthorhombic III–V group materials, including BN, BP, BAs, AlN, AlP, and GaN. It is shown that all the III–V orthorhombic monolayers exhibit excellent mechanical anisotropy for Young’s modulus, Shear modulus, and Poisson’s ratio, especially for the AlN and GaN monolayers. AlN, AlP, and GaN are predicted to be indirect bandgap semiconductors, with their bandgap of 0.70, 0.15, and 0.53 eV, respectively. And BN is demonstrated to be a direct bandgap semiconductor (0.63 eV). Under uniaxial tensile strains, their electronic structures have non-monotonic anisotropic variations and these monolayers can be effectively modulated from metal to semiconductor, experiencing indirect–direct bandgap transitions. In addition, all the orthorhombic III–V materials exhibit highly anisotropic light-harvesting performances and the optical absorbance can be efficiently tailored with tensile strains applied along a- and b-directions. The strong optical absorptions in the visible light regions suggested that AlN, BN, and GaN may be optically tunable 2D materials for component absorbance layers for solar cell applications. The excellent anisotropic and tunable electronic, mechanical, and optical performances indicate that the orthorhombic III–V monolayers are promising candidates for potential applications of optoelectronics and photovoltaics.
利用第一性原理计算,我们系统地研究了应变工程对二维(2D)正交 III-V 族材料(包括 BN、BP、BAs、AlN、AlP 和 GaN)的电子、机械和光学特性的影响。研究表明,所有 III-V 族正交单层材料,尤其是 AlN 和 GaN 单层材料,在杨氏模量、剪切模量和泊松比方面都表现出优异的力学各向异性。据预测,AlN、AlP 和 GaN 是间接带隙半导体,它们的带隙分别为 0.70、0.15 和 0.53 eV。而 BN 被证明是一种直接带隙半导体(0.63 eV)。在单轴拉伸应变下,它们的电子结构具有非单调各向异性变化,这些单层可有效地从金属调制成半导体,经历间接-直接带隙转变。此外,所有正交Ⅲ-Ⅴ族材料都表现出高度各向异性的光收集性能,并且可以通过沿 a 和 b 方向施加拉伸应变有效地定制光吸收率。在可见光区域的强光吸收表明,AlN、BN 和 GaN 可能是太阳能电池应用中用于元件吸收层的光学可调二维材料。卓越的各向异性和可调谐的电子、机械和光学性能表明,正交Ⅲ-Ⅴ族单层材料在光电子学和光伏学的潜在应用中大有可为。
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引用次数: 0
Conductive polymer composites-enable self-sensing twisted string actuators 导电聚合物复合材料实现自感应扭绳致动器
Pub Date : 2024-05-18 DOI: 10.1142/s0217984924420028
Chanchan Xu, Shuai Dong, Yifan Ma, Jingwei Zhan, Xiaojie Wang
Twisted string actuators (TSAs) are innovative linear soft actuators that can mimic natural muscle contraction. However, obtaining feedback on their stroke requires cumbersome external sensors that compromise their compliance. We addressed this by developing self-sensing strings using conductive polymer composites (CPCs). The CPC strings exhibit electrical resistance changes in response to strain, enabling stroke sensing by the strings themselves. We fabricated CPCs strings with varying concentrations of multi-walled carbon nanotubes (MWCNTs). Characterization revealed excellent conductivity, tensile strength exceeding 30 N, tunable strain sensitivity via MWCNTs concentration variation, as well as stable and repeatable strain-dependent resistance changes. Optimization via a high-strength core fiber enabled the CPCs strings to withstand over 6[Formula: see text]kg loading with enhanced stroke and minimal resistance variation. We achieved at least a 97.8% linear correlation between resistance change rate and contraction rate in twisting experiments. This research provides a self-contained stroke sensor compatible with high-load soft TSAs, overcoming limitations of external sensors. The simple yet effective sensing mechanism could spur adoption of TSA in robotics.
扭绳致动器(TSA)是一种创新的线性软致动器,可以模拟自然肌肉收缩。然而,获取其行程反馈需要笨重的外部传感器,这会影响其顺应性。为了解决这个问题,我们利用导电聚合物复合材料(CPC)开发出了自感应弦。CPC 琴弦会随着应变而发生电阻变化,从而实现琴弦自身的行程感应。我们用不同浓度的多壁碳纳米管 (MWCNT) 制作了 CPCs 字符串。表征结果表明,该产品具有出色的导电性、超过 30 N 的抗拉强度、可通过 MWCNTs 浓度变化调节的应变灵敏度,以及稳定且可重复的随应变变化的电阻变化。通过对高强度芯纤维进行优化,CPCs 字符串能够承受超过 6[式中:见正文]公斤的负载,并具有更强的冲程和最小的电阻变化。在扭转实验中,我们实现了电阻变化率与收缩率之间至少 97.8% 的线性相关。这项研究提供了一种与高负载软 TSA 兼容的独立行程传感器,克服了外部传感器的局限性。这种简单而有效的传感机制可促进 TSA 在机器人中的应用。
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引用次数: 0
Stochastic supervised networks for numerical treatment of Eyring–Powell nanofluid model with Darcy Forchheimer slip flow involving bioconvection and nonlinear thermal radiation 随机监督网络用于涉及生物对流和非线性热辐射的具有达西-福克海默滑移流的 Eyring-Powell 纳米流体模型的数值处理
Pub Date : 2024-05-18 DOI: 10.1142/s0217984924504001
Z. Shah, Muhammad Asif Zahoor Raja, Muhammad Shoaib, I. Khan, A. Kiani
The aim of this study is to estimate the solution of Eyring–Powell nanofluid model (EPNFM) with Darcy Forchheimer slip flow involving bioconvection and nonlinear thermal radiation by employing stupendous knacks of neural networks-based Bayesian computational intelligence (NNBCI). A dataset for the designed NNBCI is generated with Adam numerical procedure for sundry variations of EPNFM by use of several variants including slip constant, Schmidt number, mixed convection parameter, Prandtl number, and bioconvection Lewis parameter. Numerical computations of various physical parameters of interest on EPNFM are estimated with artificial intelligence-based NNBCI and compared with reference data values generated with Adam’s numerical procedure. The accuracy, efficacy, and convergence of the proposed NNBCI to successfully solve the EPNFM are endorsed through M.S.E, statistical instance distribution studies of error-histograms, and assessment of regression metric. The proposed dataset exhibits a close alignment with the reference dataset based on error analysis from level E[Formula: see text] to E[Formula: see text] authenticates the precision of the designed procedure NNBCI for solving EPNFMs. The executive and novel physical importance of parameters governing the flow, such as nanofluid velocity, temperature, and concentration profiles, are discussed. The observations imply that the presence of the slip constant, mixed convection parameter and Lewis number influences the velocity of the nanofluid. However, it is observed that temperature of the nanofluid declines for higher values of Prandl number while the concentration of nanofluid improves with increasing values of Schmidt number.
本研究的目的是利用基于神经网络的贝叶斯计算智能(NNBCI)的高超技巧,估算涉及生物对流和非线性热辐射的达西-福克海默滑移流的艾林-鲍威尔纳米流体模型(EPNFM)的解。通过使用滑移常数、施密特数、混合对流参数、普朗特数和生物对流路易斯参数等几种变体,利用亚当数值程序为 EPNFM 的各种变体生成了设计 NNBCI 的数据集。利用基于人工智能的 NNBCI 估算了 EPNFM 上各种相关物理参数的数值计算结果,并与亚当数值计算程序生成的参考数据值进行了比较。通过 M.S.E、误差序列图的统计实例分布研究和回归指标评估,证明了所提出的 NNBCI 成功求解 EPNFM 的准确性、有效性和收敛性。根据从 E[公式:见正文]到 E[公式:见正文]级的误差分析,所提议的数据集与参考数据集显示出密切的一致性,这证明了所设计的 NNBCI 程序在求解 EPNFM 方面的精确性。讨论了纳米流体速度、温度和浓度分布等流动参数的执行和新的物理重要性。观察结果表明,滑移常数、混合对流参数和路易斯数的存在会影响纳米流体的速度。然而,观察结果表明,纳米流体的温度随着普兰德数值的增大而降低,而纳米流体的浓度则随着施密特数值的增大而提高。
{"title":"Stochastic supervised networks for numerical treatment of Eyring–Powell nanofluid model with Darcy Forchheimer slip flow involving bioconvection and nonlinear thermal radiation","authors":"Z. Shah, Muhammad Asif Zahoor Raja, Muhammad Shoaib, I. Khan, A. Kiani","doi":"10.1142/s0217984924504001","DOIUrl":"https://doi.org/10.1142/s0217984924504001","url":null,"abstract":"The aim of this study is to estimate the solution of Eyring–Powell nanofluid model (EPNFM) with Darcy Forchheimer slip flow involving bioconvection and nonlinear thermal radiation by employing stupendous knacks of neural networks-based Bayesian computational intelligence (NNBCI). A dataset for the designed NNBCI is generated with Adam numerical procedure for sundry variations of EPNFM by use of several variants including slip constant, Schmidt number, mixed convection parameter, Prandtl number, and bioconvection Lewis parameter. Numerical computations of various physical parameters of interest on EPNFM are estimated with artificial intelligence-based NNBCI and compared with reference data values generated with Adam’s numerical procedure. The accuracy, efficacy, and convergence of the proposed NNBCI to successfully solve the EPNFM are endorsed through M.S.E, statistical instance distribution studies of error-histograms, and assessment of regression metric. The proposed dataset exhibits a close alignment with the reference dataset based on error analysis from level E[Formula: see text] to E[Formula: see text] authenticates the precision of the designed procedure NNBCI for solving EPNFMs. The executive and novel physical importance of parameters governing the flow, such as nanofluid velocity, temperature, and concentration profiles, are discussed. The observations imply that the presence of the slip constant, mixed convection parameter and Lewis number influences the velocity of the nanofluid. However, it is observed that temperature of the nanofluid declines for higher values of Prandl number while the concentration of nanofluid improves with increasing values of Schmidt number.","PeriodicalId":503716,"journal":{"name":"Modern Physics Letters B","volume":"109 20","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141125656","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Crystal structure, magnetic and electrical transport properties of titanium-doped half-Heusler alloys Ni1−xTixMnSb 掺钛半赫斯勒合金 Ni1-xTixMnSb 的晶体结构、磁性和电传输特性
Pub Date : 2024-05-18 DOI: 10.1142/s0217984924503627
A. Rutkauskas, S. Kichanov, T. Vershinina, G. S. Rymski, N. Dang, T. P. Hoang, T. A. Tran, N. Phan, D. P. T. Tien, P. D. Thinh, D. T. Khan
Ni[Formula: see text]TixMnSb polycrystalline alloys in the range [Formula: see text] were synthesized employing the standard solid-phase synthesis method. The crystal, magnetic, as well as electrical properties of the alloys were investigated using neutron powder diffraction and magneto-resistance measurements. The results reveal that the substitution of Ti for Ni within the temperature range of 2.5–300 K does not induce alterations in the crystal and magnetic structures of NiMnSb. The ordered Ni magnetic moment approaches zero. The study of the electrical transport properties of the Ni[Formula: see text]TixMnSb alloys, where [Formula: see text], has demonstrated a half-metallic state at low temperatures and metallic conductivity for temperatures exceeding 160 K. A semiconductor state manifests at titanium concentrations of x = 0.2 and was observed at temperatures below 21 K. The obtained experimental results are elucidated through first-principles theoretical calculations.
采用标准固相合成法合成了[式:见正文]范围内的 Ni[式:见正文]TixMnSb 多晶合金。利用中子粉末衍射和磁阻测量法研究了合金的晶体、磁性和电性。结果表明,在 2.5-300 K 的温度范围内用 Ti 替代 Ni 不会改变 NiMnSb 的晶体和磁性结构。有序镍磁矩接近零。对 Ni[式中:见正文]TixMnSb 合金(其中[式中:见正文])电输运特性的研究表明,在低温下会出现半金属态,而在温度超过 160 K 时则会出现金属导电性。
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引用次数: 0
Unveiling ductile, rare-earth-free structural materials: A DFT exploration of MnTi and MnZr 揭开无稀土韧性结构材料的神秘面纱:锰钛和锰锌的 DFT 探索
Pub Date : 2024-05-18 DOI: 10.1142/s0217984924503743
Mohammed Benaissa, M. Bouchaour, Laarej Merad, N. Maloufi, Hayet Si Abdelkader, Mustafa Bayram, Ruqayyah Haider Ghani, Muataz S. Alhassan, Younes Menni
This paper presents a theoretical exploration of the electronic, structural, and mechanical attributes inherent in three rare-earth-free intermetallic compounds, namely, MnTi, MnZr, and MnHf. Employing density functional theory (DFT) calculations with the Implementation of projector augmented wave (PAW); our investigation adopts the supercell approach to meticulously determine the structural and mechanical properties of these materials. The findings reveal that MnTi and MnZr exhibit intrinsic ductility, positioning them as viable contenders for applications demanding high-strength structures. In contrast, MnHf demonstrates mechanical instability. This study provides promising insights into the mechanical characteristics of MnTi and MnZr, underscoring their potential as sustainable structural materials, given the abundance and non-toxic nature of their constituents. The research findings presented herein contribute to the understanding of rare-earth-free intermetallics, offering valuable information for applications in materials science and engineering.
本文从理论上探讨了三种无稀土金属间化合物(即锰钛、锰锌和锰铪)固有的电子、结构和机械属性。通过采用投影增强波(PAW)进行密度泛函理论(DFT)计算,我们的研究采用了超电池方法,细致地确定了这些材料的结构和力学性能。研究结果表明,锰钛和锰锌表现出固有的延展性,使它们成为需要高强度结构的应用领域的有力竞争者。相比之下,MnHf 则表现出机械不稳定性。这项研究为了解锰钛和锰锌的机械特性提供了前景广阔的视角,并强调了它们作为可持续结构材料的潜力,因为它们的成分丰富且无毒。本文介绍的研究成果有助于人们了解无稀土金属间化合物,为材料科学和工程学的应用提供了宝贵的信息。
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引用次数: 0
Nanoparticle aggregation kinematics and nanofluid flow in convectively heated outer stationary and inner stretched coaxial cylinders: Influenced by linear, nonlinear, and quadratic thermal radiation 纳米粒子在对流加热的外静止和内拉伸同轴圆柱体中的聚集运动学和纳米流体流动:受线性、非线性和二次热辐射的影响
Pub Date : 2024-05-18 DOI: 10.1142/s0217984924503615
K. Albalawi, K. Karthik, J. Madhu, Mona Bin-Asfour, B. Alkahtani, Ibtehal Alazman, R. N. Kumar
The consequence of nanoparticle aggregation and convective boundary condition on the nanofluid stream past the co-axial cylinder with radiation impact is investigated in the present examination. The influence of linear, nonlinear, and quadratic thermal radiation on the nanofluid flow is analyzed. The outer cylinder stays stable, while the inner cylinder deforms horizontally in the axial direction, allowing fluid to flow. By using similarity variables, the governing equations are transformed into ordinary differential equations (ODEs). Subsequently, the Runge–Kutta–Fehlberg fourth-fifth order (RKF-45) method is employed to solve the reduced ODEs. The upshot of several nondimensional terms on the temperature and velocity profiles is displayed with graphical representation. The comparison of linear, quadratic, and nonlinear thermal radiation on the thermal profile is illustrated. The upsurge in curvature parameter increases velocity and thermal profile. The increase in radiation parameter intensifies the temperature profile. The thermal profile improves with a rise in the values of radiation parameter. The radiation parameter generates thermal energy in the flow zone, which is why the temperature field has improved. The thermal Biot number exhibits an increasing response with temperature and thermal boundary layer thickness. The linear thermal radiation shows better heat transfer compared to quadratic and nonlinear thermal radiation.
本研究探讨了纳米粒子聚集和对流边界条件对通过具有辐射影响的同轴圆柱体的纳米流体流的影响。分析了线性、非线性和二次热辐射对纳米流体流动的影响。外圆柱体保持稳定,内圆柱体沿轴向水平变形,允许流体流动。通过使用相似变量,控制方程被转化为常微分方程(ODE)。随后,采用 Runge-Kutta-Fehlberg 四阶-五阶 (RKF-45) 方法求解简化的 ODE。图解显示了温度和速度曲线上几个非维度项的结果。比较了线性、二次和非线性热辐射对热剖面的影响。曲率参数的增加会增加速度和热剖面。辐射参数的增加加剧了温度曲线。随着辐射参数值的增加,热剖面也随之改善。辐射参数在流动区域产生热能,这就是温度场得到改善的原因。热比奥特数随着温度和热边界层厚度的增加而增加。与二次热辐射和非线性热辐射相比,线性热辐射的传热效果更好。
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引用次数: 0
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Modern Physics Letters B
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