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Modeling high-pressure viscosities of fatty acid esters and biodiesel fuels based on modified rough hard-sphere-chain model and deep learning method 基于改进的粗糙硬球链模型和深度学习方法的脂肪酸酯和生物柴油燃料高压粘度建模
IF 6.6 3区 工程技术 Q1 MECHANICS Pub Date : 2024-11-21 DOI: 10.1515/jnet-2024-0040
Sayed Mostafa Hosseini, Mariano Pierantozzi
This work aimed to demonstrate that a simple modification to the previously developed rough hard-sphere-chain (RHSC) model would significantly improve the accuracy of that model for viscosities of fatty acid esters and biodiesel fuels at extended pressures up to 200 MPa and higher isotherms. The new finding of this work is the temperature dependence of the exponential factor of the roughness factor (RF) of the earlier RHSC model as the accuracy of the original model (with an average absolute relative deviation, AARD of 8.29 % for 715 data points examined) was significantly improved achieving the AARD of 3.77 % once a universal function of reduced temperature replaced the original exponential factor of 6.4 × 10−4 for RF. Besides, the predictive capability of the modified RHSC model has been compared with original RHSC model and several previously developed semi-empirical models based on friction theory and free volume theory in literature. Expanding AARD on the progress in deep learning, our research introduces Artificial Neural Network (ANN) model that is simpler than previous models while maintaining high viscosity correlation accuracy for fatty acid esters and biodiesel fuels. The refined ANN model, with a single hidden layer and sigmoid activation function, achieved an AARD% of 0.78 %. Additionally, we conducted a thorough comparison with other deep learning architectures, affirming the effectiveness of our simplified approach for viscosity correlations.
这项工作旨在证明,对先前开发的粗糙硬球链(RHSC)模型进行简单修改,就能显著提高该模型在扩展压力高达 200 兆帕和更高等温线条件下测量脂肪酸酯和生物柴油燃料粘度的准确性。这项工作的新发现是早期 RHSC 模型中粗糙度系数(RF)指数因子的温度依赖性,因为一旦降低温度的通用函数取代了 RF 的原始指数因子 6.4 × 10-4,原始模型的准确性(715 个数据点的平均绝对相对偏差为 8.29%)就会显著提高,达到 3.77%。此外,还将修改后的 RHSC 模型的预测能力与原始 RHSC 模型以及之前文献中基于摩擦理论和自由体积理论开发的几个半经验模型进行了比较。随着深度学习技术的发展,我们的研究引入了人工神经网络(ANN)模型,该模型比以前的模型更简单,同时保持了脂肪酸酯和生物柴油燃料的高粘度相关精度。改进后的人工神经网络模型采用单隐层和 sigmoid 激活函数,AARD% 达到 0.78%。此外,我们还与其他深度学习架构进行了全面比较,肯定了我们的简化方法在粘度相关性方面的有效性。
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引用次数: 0
Variational approach to chemical reactions beyond local equilibrium 超越局部平衡的化学反应变量法
IF 6.6 3区 工程技术 Q1 MECHANICS Pub Date : 2024-11-21 DOI: 10.1515/jnet-2024-0072
Filiberto Herrera-Castro, Jesus Antonio del Río
The formal description of chemical reactions far from equilibrium is an open task. Chemical reactions are central to various phenomena in life, industry, and the environment. In this work, we use a variational principle within the framework of extended irreversible thermodynamics to obtain relaxation equations for the fast variables and close the balance equations. Our approach extends traditional local equilibrium thermodynamics by incorporating formal expressions for the unknown generalized equations of state, which we can expand in low and higher-order terms, allowing for a more comprehensive representation of non-linear and dissipative phenomena and capturing wave-like behaviours relevant to oscillatory chemical systems. The formalism aligns well with previous theoretical works and provides additional insights into the influence of diffusion fluxes on reaction rates. The resulting equations may describe velocity reactions with different relaxation times and diffusion reactions. We present a comparison of our results with experiments in the context of a particular chemical kinetics case. We emphasize the need for practical applications in areas like environmentally friendly chemical reaction systems.
对远离平衡状态的化学反应进行正式描述是一项尚未完成的任务。化学反应是生活、工业和环境中各种现象的核心。在这项工作中,我们在扩展的不可逆热力学框架内使用变分原理,获得了快速变量的弛豫方程,并关闭了平衡方程。我们的方法扩展了传统的局部平衡热力学,纳入了未知广义状态方程的形式表达式,我们可以对其进行低阶和高阶扩展,从而更全面地表示非线性和耗散现象,并捕捉与振荡化学系统相关的波状行为。该形式主义与之前的理论研究非常吻合,并提供了关于扩散通量对反应速率影响的更多见解。由此得到的方程可以描述具有不同弛豫时间的速度反应和扩散反应。我们以一个特定的化学动力学案例为背景,对我们的结果与实验进行了比较。我们强调了在环境友好型化学反应系统等领域的实际应用需求。
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引用次数: 0
Generalized piezothermoelastic interactions in a piezoelectric rod subjected to pulse heat flux 受脉冲热通量作用的压电棒中的广义压热弹性相互作用
IF 6.6 3区 工程技术 Q1 MECHANICS Pub Date : 2024-11-19 DOI: 10.1515/jnet-2024-0077
Zuhur Alqahtani, Ibrahim Abbas, Alaa A. El-Bary
This work investigates, using the Laplace transforms, the influence of thermal relaxation time in the piezo-thermoelastic rod under pulse heat flux. For the piezoelectric medium, the generalized piezothermoelastic fundamental equations are developed. The analytical solutions are expressed in the transformation domain using Laplace transforms. Laplace transforms are presented to solve the problem’s governing equations, removing the time impact and yielding analytical solutions for the temperature, electric field, displacement, and stresses in the Laplace domain. The time domain solutions of the variables under consideration are then found using numerical Laplace inversion and visually shown. The effects of the thermal time, pulse heating flux characteristic time, and constant heat flux are studied in a piezoelectric thermoelastic medium. The figures show that the thermal time, pulse heating flux characteristic time, and constant heat flux play significant roles in determining the values of all physical quantities.
这项研究利用拉普拉斯变换,探讨了脉冲热通量下压电热弹棒中热弛豫时间的影响。针对压电介质,建立了广义压热弹基本方程。分析解在变换域中使用拉普拉斯变换表示。拉普拉斯变换用于求解问题的支配方程,消除了时间影响,得出了拉普拉斯域中温度、电场、位移和应力的分析解。然后使用拉普拉斯数值反演法求得所考虑变量的时域解,并直观地显示出来。在压电热弹性介质中研究了热时间、脉冲加热通量特性时间和恒定热通量的影响。结果表明,热时间、脉冲加热通量特征时间和恒定热通量在决定所有物理量的值方面起着重要作用。
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引用次数: 0
Stochastic dissipative Euler’s equations for a free body 自由体的随机耗散欧拉方程
IF 6.6 3区 工程技术 Q1 MECHANICS Pub Date : 2024-11-04 DOI: 10.1515/jnet-2024-0029
Jaime Arturo de la Torre, Jesús Sánchez-Rodríguez, Pep Español
Intrinsic thermal fluctuations within a real solid challenge the rigid body assumption that is central to Euler’s equations for the motion of a free body. Recently, we have introduced a dissipative and stochastic version of Euler’s equations in a thermodynamically consistent way (European Journal of Mechanics – A/Solids 103, 105,184 (2024)). This framework describes the evolution of both orientation and shape of a free body, incorporating internal thermal fluctuations and their concomitant dissipative mechanisms. In the present work, we demonstrate that, in the absence of angular momentum, the theory predicts that the principal axes unit vectors of a body undergo an anisotropic Brownian motion on the unit sphere, with the anisotropy arising from the body’s varying moments of inertia. The resulting equilibrium time correlation function of the principal eigenvectors decays exponentially. This theoretical prediction is confirmed in molecular dynamics simulations of small bodies. The comparison of theory and equilibrium MD simulations allow us to measure the orientational diffusion tensor. We then use this information in the Stochastic Dissipative Euler’s Equations, to describe a non-equilibrium situation of a body spinning around the unstable intermediate axis. The agreement between theory and simulations is excellent, offering a validation of the theoretical framework.
真实固体内部的内在热波动挑战了自由体运动欧拉方程的核心--刚体假设。最近,我们以热力学一致的方式引入了欧拉方程的耗散和随机版本(《欧洲力学杂志》--A/固体 103, 105,184 (2024))。这一框架描述了自由体方向和形状的演变,其中包含内部热波动及其伴随的耗散机制。在本研究中,我们证明了在没有角动量的情况下,该理论预测物体的主轴单位矢量在单位球面上经历各向异性的布朗运动,而各向异性是由物体的不同惯性矩引起的。由此产生的主特征向量的平衡时间相关函数呈指数衰减。小体的分子动力学模拟证实了这一理论预测。通过理论与平衡 MD 模拟的比较,我们可以测量取向扩散张量。然后,我们利用随机耗散欧拉方程中的这一信息,描述了围绕不稳定中间轴旋转的物体的非平衡状态。理论与模拟之间的一致性非常好,为理论框架提供了验证。
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引用次数: 0
Performance prediction and manipulation strategy of a hybrid system based on tubular solid oxide fuel cell and annular thermoelectric generator 基于管状固体氧化物燃料电池和环形热电发电机的混合系统的性能预测和操控策略
IF 6.6 3区 工程技术 Q1 MECHANICS Pub Date : 2024-10-29 DOI: 10.1515/jnet-2024-0039
Huichao Zhu, Siyu Chen, Houcheng Zhang
Tubular solid oxide fuel cells (TSOFCs) generate high-grade waste heat during operation, but the existing waste heat recovery technologies designed for flat solid oxide fuel cells cannot be directly applied to TSOFC due to the geometry mismatch. To efficient harvest the waste heat, a new geometry-matching hybrid system including TSOFC and annular thermoelectric generator (ATEG) is synergistically integrated to evaluate the performance upper limit. A mathematical model is formulated and verified to describe the hybrid system by considering various thermodynamic-electrochemical irreversible effects. Key performance indicators are established to assess the potential performance. Calculations show that the peak power density and corresponding efficiency of the proposed system are enhanced by 20.39 % and 13.89 %, respectively, compared to a standalone TSOFC. Furthermore, the exergy destruction rate is reduced by 7.04 %. Extensive sensitivity analyses indicate that higher operating temperatures enhance the system’s performance, while larger electrode tortuosity negatively affects it. Additionally, various optimization paths of ATEG are explored to improve the system performance, including considerations such as the number of thermocouples, leg radial width, leg thickness, or annular shape parameter. The three-objective optimization yields an efficient design solution for the entire system, offering valuable insights for its design and operation.
管状固体氧化物燃料电池(TSOFC)在运行过程中会产生大量余热,但由于几何形状不匹配,为平面固体氧化物燃料电池设计的现有余热回收技术无法直接应用于 TSOFC。为了有效收集余热,一种新的几何匹配混合系统(包括 TSOFC 和环形热电发生器 (ATEG))被协同整合在一起,以评估其性能上限。通过考虑各种热力学-电化学不可逆效应,建立并验证了描述混合系统的数学模型。建立了关键性能指标来评估潜在性能。计算结果表明,与独立的 TSOFC 相比,拟议系统的峰值功率密度和相应效率分别提高了 20.39% 和 13.89%。此外,放能破坏率降低了 7.04%。广泛的敏感性分析表明,较高的工作温度会提高系统的性能,而较大的电极扭曲度会对系统性能产生负面影响。此外,还探索了 ATEG 的各种优化途径,包括热电偶数量、电极腿径向宽度、电极腿厚度或环形参数等,以提高系统性能。三目标优化为整个系统提供了有效的设计方案,为系统的设计和运行提供了宝贵的见解。
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引用次数: 0
Efficient ecological function analysis and multi-objective optimizations for an endoreversible simple air refrigerator cycle 内可逆简单空气制冷循环的高效生态功能分析和多目标优化
IF 6.6 3区 工程技术 Q1 MECHANICS Pub Date : 2024-10-05 DOI: 10.1515/jnet-2024-0045
Zijian Xu, Yanlin Ge, Lingen Chen, Huijun Feng
Combining finite time thermodynamics and exergetic analysis, analogous to the definition of ecological efficient power for heat engines, this paper proposes a unified performance indicator for various cycles, exergy-based efficient ecological function (E ɛ ) which is defined as product of exergy-based ecological function and coefficient of performance, and introduces it into performance optimization of endoreversible simple air refrigerator cycle coupled to constant-temperature heat reservoirs. Relations among E ɛ , pressure ratio (π) and heat conductance distribution ratio (u) are derived by using numerical method. The cycle performance indicators which include cooling load (R), coefficient of performance (ɛ), and exergetic loss rate (E out/T 0) under the different maximum objective criteria are compared. Taking π as optimal variable, and taking R, ɛ, cooling load density (r), E ɛ and their combinations as optimization objectives, multi-objective optimizations, totally 15 optimization combinations, are performed by using NASG-II algorithm. The results demonstrate that, the maximum E ɛ criteria can better reflect the compromise among R, ɛ and E out/T 0. The Pareto solution sets are majorly distributed in 2.5–20 when quadru-objective optimizations are performed. The option selected by LINMAP decision-making method is closer to ideal solution when bi-objective optimization of ɛ and r is carried out.
本文结合有限时间热力学和能效分析,类比热机生态效率功率的定义,提出了各种循环的统一性能指标--基于能效的高效生态函数(E ɛ ),定义为基于能效的生态函数与性能系数的乘积,并将其引入到与恒温蓄热器耦合的内逆简单空气制冷循环的性能优化中。通过数值方法推导出 E ɛ、压力比 (π) 和热传导分布比 (u) 之间的关系。比较了不同最大目标标准下的循环性能指标,包括冷却负荷(R)、性能系数(ɛ)和能效损失率(E out/T 0)。以 π 为最优变量,以 R、ɛ、冷却负荷密度 (r)、E ɛ 及其组合为优化目标,采用 NASG-II 算法进行多目标优化,共优化组合 15 个。结果表明,最大 E ɛ 标准能较好地反映 R、ɛ 和 E out/T 0 之间的折衷关系,在进行四目标优化时,帕累托解集主要分布在 2.5-20 之间。当对 ɛ 和 r 进行双目标优化时,LINMAP 决策方法选择的方案更接近理想方案。
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引用次数: 0
Novel irreversibility modeling of non-homogeneous charged gas flow by solving Maxwell–Boltzmann PDEs system: irreversibility analysis for multi-component plasma 通过求解麦克斯韦-玻尔兹曼 PDEs 系统建立非均质带电气流的新型不可逆模型:多组分等离子体的不可逆分析
IF 6.6 3区 工程技术 Q1 MECHANICS Pub Date : 2024-09-26 DOI: 10.1515/jnet-2024-0055
Taha Z. Abdel Wahid, Zaki Mrzog Alaofi
A novel modeling and new irreversibility analysis of non-homogeneous charged gas flow is presented as an extension and further development of our previous article [J. Non-equilibrium. Thermodyne. 49 (2024), 1–21]. We study the non-equilibrium irreversible thermodynamics (NIT) properties of the exact solution to the dilute non-homogeneously charged gas problem with unsteady Rayleigh flow. In contrast to previous research, the charged gas is non-homogeneous under the influence of induced electromagnetic forces, the flat plate moving damping with time, and the effect of positive ions is considered, leading to significant advancements in understanding natural plasma dynamics. We are solving eight non-homogeneous partial differential equations (PDE). We used a Laplace transformation technique and small parameters methods. To the best of our knowledge, as two new scientific achievements, we introduced a new mathematical model for a mixture of charged gas to calculate the thermodynamic forces, kinetic coefficients, and fluxes variables, see Appendices. Second, we present a fantastic new technique by a flowchart to identify the equilibrium time of multi-component plasma step-by-step using the velocity distribution function (VDF). We indicate that electrons, which are faster lighter components, reach equilibrium faster than slower heavier components. A standard laboratory argon plasma model is used to apply the results.
作为我们之前文章[J. Non-equilibrium. Thermodyne. 49 (2024), 1-21]的延伸和进一步发展,提出了非均质带电气体流动的新模型和新的不可逆分析。我们研究了稀释非均质带电气体问题的非稳态瑞利流精确解的非平衡不可逆热力学(NIT)特性。与以往的研究不同的是,在诱导电磁力的影响下,带电气体是非均质的,平板移动阻尼随时间变化,并且考虑了正离子的影响,从而在理解自然等离子体动力学方面取得了重大进展。我们正在求解八个非均质偏微分方程(PDE)。我们使用了拉普拉斯变换技术和小参数方法。据我们所知,作为两项新的科学成就,我们为带电气体混合物引入了一个新的数学模型,用于计算热动力、动力学系数和通量变量(见附录)。其次,我们提出了一项神奇的新技术,即利用速度分布函数(VDF),通过流程图逐步确定多组分等离子体的平衡时间。我们指出,电子作为速度较快的轻组分,比速度较慢的重组分更快达到平衡。我们使用了一个标准实验室氩等离子体模型来应用这些结果。
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引用次数: 0
Thermodynamics and dynamic stability: extended theories of heat conduction 热力学和动态稳定性:热传导的扩展理论
IF 6.6 3区 工程技术 Q1 MECHANICS Pub Date : 2024-09-24 DOI: 10.1515/jnet-2024-0041
Réka Somogyfoki, Alessio Famá, Liliana Restuccia, Peter Ván
The stability of homogeneous thermodynamic equilibrium is analyzed in heat conduction theories in the framework of nonequilibrium thermodynamics, where the internal energy, the heat flux and a second order tensor are thermodynamic state variables. It is shown, that the thermodynamic conditions of concave entropy and nonnegative entropy production can ensure the linear stability. Various special heat conduction theories, including Extended Thermodynamics, are compared in the general framework.
在非平衡热力学框架内,分析了热传导理论中均相热力学平衡的稳定性,其中内能、热通量和二阶张量是热力学状态变量。研究表明,凹熵和非负熵产生的热力学条件可以确保线性稳定性。在一般框架内比较了各种特殊热传导理论,包括扩展热力学。
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引用次数: 0
Performance analysis of quantum harmonic Otto engine and refrigerator under a trade-off figure of merit 权衡利弊下的量子谐波奥托发动机和制冷机性能分析
IF 6.6 3区 工程技术 Q1 MECHANICS Pub Date : 2024-08-28 DOI: 10.1515/jnet-2024-0034
Kirandeep Kaur, Shishram Rebari, Varinder Singh
We investigate the optimal performance of the quantum Otto engine and refrigeration cycles of a time-dependent harmonic oscillator under a trade-off figure of merit for both adiabatic and nonadiabatic (sudden-switch) frequency modulations. For heat engines (refrigerators), the chosen trade-off figure of merit is an objective function defined by the product of efficiency (coefficient of performance) and work output (cooling load), thus representing a compromise between them. We obtain analytical expressions for the efficiency and coefficient of performance of the harmonic Otto cycle for the optimal performance of the thermal machine in various operational regimes. Particularly, in the sudden-switch regime, we discuss the implications of the nonadiabatic driving on the performance of the thermal machine under consideration and obtain analytic expressions for the maximum achievable efficiency and coefficient of performance of the harmonic Otto thermal machine. Particularly, we show that the quantum harmonic Otto cycle driven by sudden-switch protocol cannot work as a heat engine or refrigerator in the low-temperature limit. Finally, we show that in the high-temperature limit, the frictional effects give rise to a richer structure of the phase diagram of the harmonic Otto cycle. We identify the parametric regime for the operation of the Otto cycle as a heat engine, refrigerator, accelerator, and heater.
我们研究了时变谐波振荡器的量子奥托发动机和制冷循环在绝热和非绝热(突然切换)频率调制的优劣权衡下的最佳性能。对于热机(制冷机)而言,所选择的权衡优点是一个目标函数,由效率(性能系数)和功输出(制冷负荷)的乘积定义,因此代表了两者之间的折衷。我们获得了谐波奥托循环的效率和性能系数的分析表达式,从而使热机在各种运行状态下都能达到最佳性能。特别是在突然开关状态下,我们讨论了非绝热驱动对所考虑的热机性能的影响,并获得了谐波奥托热机的最大可实现效率和性能系数的解析表达式。特别是,我们证明了由突然开关协议驱动的量子谐波奥托循环在低温极限下不能作为热机或冰箱工作。最后,我们证明了在高温极限下,摩擦效应会使谐波奥托循环的相图结构更加丰富。我们确定了奥托循环作为热机、冰箱、加速器和加热器运行的参数机制。
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引用次数: 0
Investigation of the operating characteristics of diesel engines with chromium oxide (Cr2O3) nanoparticles dispersed in Mesua ferrea biodiesel: an experimental and predictive approach using ANNs and RSM 研究在梅苏阿魏生物柴油中分散了纳米氧化铬 (Cr2O3) 的柴油发动机的运行特性:使用 ANNs 和 RSM 的实验和预测方法
IF 6.6 3区 工程技术 Q1 MECHANICS Pub Date : 2024-08-16 DOI: 10.1515/jnet-2024-0021
Jagadish Kari, Vanthala Varaha Siva Prasad, Jaikumar Sagari
This study investigates the effects of using biodiesel from Mesua ferrea (BD20) and chromium oxide (Cr2O3) nanoparticles in diesel engines. The Response Surface Methodology (RSM) model and artificial neural networks (ANNs) were developed to make precise predictions of the operating parameters. The amount of Cr2O3 nanoparticles was set at 80 mg/L, and surfactant and dispersant were applied to the nanoparticles in the same amounts. The study was carried out with different compression ratios and load conditions. The parameters evaluated were engine load, fuel samples and compression ratio as inputs and BTE, BSFC, CP, NHRR, CO, UHC, NO x and smoke opacity as outputs. The addition of the QPAN80 additive at the same dosage of 80 mg/L together with the BD20 fuel blend containing Cr2O3 at a concentration of 80 mg/L resulted in a significant increase in BTE by 16.58 % and a reduction in BSFC by 0.58 %. While the NHRR increased by 85.40 %, the CP increased sharply by 24.47 %. The CO concentration decreased by 31.85 %, the UHC concentration by 22.22 %, the NO x concentration by 6.16 % and the smoke emission by 62.61 %. For each output parameter, the correlation coefficient (R 2), calculated using ANNs and RSM was between 0.96 and 0.98. The observed range of values demonstrates a robust correlation between the experimental data and the predicted outcomes.
本研究探讨了在柴油发动机中使用阿魏(Mesua ferrea)生物柴油(BD20)和纳米氧化铬(Cr2O3)的效果。开发了响应面方法(RSM)模型和人工神经网络(ANN),以精确预测运行参数。Cr2O3 纳米粒子的用量设定为 80 mg/L,表面活性剂和分散剂的用量相同。研究在不同的压缩比和负载条件下进行。评估参数包括作为输入的发动机负荷、燃料样品和压缩比,以及作为输出的 BTE、BSFC、CP、NHRR、CO、UHC、NO x 和烟雾不透明度。在含有 80 毫克/升浓度 Cr2O3 的 BD20 混合燃料中添加相同剂量(80 毫克/升)的 QPAN80 添加剂后,BTE 显著增加了 16.58%,BSFC 降低了 0.58%。虽然 NHRR 增加了 85.40%,但 CP 急剧增加了 24.47%。CO 浓度降低了 31.85 %,UHC 浓度降低了 22.22 %,NO x 浓度降低了 6.16 %,烟雾排放降低了 62.61 %。对于每个输出参数,使用 ANN 和 RSM 计算出的相关系数(R 2)在 0.96 和 0.98 之间。观察到的数值范围表明,实验数据与预测结果之间具有很强的相关性。
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引用次数: 0
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Journal of Non-Equilibrium Thermodynamics
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