Particuology最新文献_第10页

Pre-shear and compression phenomena of spherical and cubic particles during DEM simulation of ring shear test 环剪试验DEM模拟中球形和立方颗粒的预剪和压缩现象

IF 4.3 2区材料科学 Q2 ENGINEERING, CHEMICAL

Particuology

Pub Date : 2025-09-29 DOI: 10.1016/j.partic.2025.09.016

Jiří Rozbroj , David Žurovec , Jakub Hlosta , Jan Diviš , Jan Nečas , Diego Barletta , Massimo Poletto , Kamila Pokorná , Jiří Zegzulka

The sensitivity analysis investigates the effect of particles shape (made by sphere, multi-spheres or polyhedral) for various contact force models on the calibration procedure via ring shear test. Experimental shear tests were performed using a Schulze Ring Shear Tester RST-01 with spherical and cubic particles. Pre-shear stress and vertical lid position behaviour were observed using Hertz-Mindlin and Linear Spring contact models. The findings confirm the necessity to include not only the shear force but also the compress behaviour of the particles in the shear test calibration. The results clearly indicate that the position of the shear lid provides discrete element method users with an important overview of the fundamental deformation behaviour and particle displacement during the pre-shear process. The results reveal differences between particle and contact force models considering the changes due to increased shear velocity useable for different representation of real-life particulate materials. The research is intended to provide DEM modellers with general information on which parameters are affected by changing the input data for each contact force model and particle shape. These insights enhance calibration procedures in both industrial and academic settings serving as a foundation for not only time optimizing DEM models and improving their accuracy.

灵敏度分析研究了不同接触力模型的颗粒形状（球形、多面体、多面体）对环剪试验标定过程的影响。采用Schulze环形剪切仪RST-01对球形和立方颗粒进行了剪切试验。使用Hertz-Mindlin和线性弹簧接触模型观察预剪应力和垂直盖子位置行为。研究结果证实，在剪切试验校准中，不仅需要包括剪切力，还需要包括颗粒的压缩行为。结果清楚地表明，剪切盖的位置为离散元法用户提供了预剪过程中基本变形行为和颗粒位移的重要概述。结果揭示了粒子力和接触力模型之间的差异，考虑了由于剪切速度增加而产生的变化，可用于不同的现实颗粒材料表示。该研究旨在为DEM建模者提供一般信息，这些信息是通过改变每个接触力模型和颗粒形状的输入数据来影响参数的。这些见解增强了工业和学术环境中的校准程序，不仅是优化DEM模型和提高其准确性的基础。

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引用次数: 0

A review of characteristics and influencing factors of dilute- and dense-phase pneumatic conveying of particles in pipelines 细、密相颗粒管道气力输送特点及影响因素综述

IF 4.3 2区材料科学 Q2 ENGINEERING, CHEMICAL

Particuology

Pub Date : 2025-09-26 DOI: 10.1016/j.partic.2025.09.015

Lidong Zhang , Yuhan Jia , Xiaoyang Ma , Jianming Su , Xinyu Xu , Jipeng Liang , Jiayi Li , Chang Liu , Changpeng Song

Pneumatic conveying systems are widely used in the chemical and energy industries because they are highly efficient and environmentally friendly. However, issues such as pipeline blockages, high energy consumption, and wear on the pipeline walls continue to hinder their development. This paper provides a systematic review of research progress on pneumatic conveying systems for particles in pipelines. First, it introduces the flow field characteristics of dilute-phase and dense-phase pneumatic conveying, as well as the mechanisms of particle flow in pipelines. Then, it focuses on analyzing the coupled influence mechanisms of multiple factors, including solid conveying gas velocity, particle size distribution, moisture content, temperature, and pipeline parameters, on conveying efficiency and stability. To address issues such as particle deposition and blockage during conveying, the paper reviews solutions like double-tube-socket, optimized auxiliary air intake, and active flow field control. Based on these solutions, the paper proposes that future research should focus on dynamic coupling models of multi-physics fields and the analogies and extensions of gas-solid and gas-liquid models to promote the development of high-efficiency, low-energy pneumatic conveying systems. The paper provides a theoretical foundation for a deeper understanding of pneumatic conveying mechanisms and for optimizing engineering applications.

气动输送系统由于其高效、环保的特点，在化工和能源行业得到了广泛的应用。然而，管道堵塞、高能耗、管壁磨损等问题继续阻碍着其发展。本文系统地综述了颗粒在管道中的气力输送系统的研究进展。首先介绍了稀相和密相气力输送的流场特性，以及颗粒在管道中的流动机理。然后重点分析了固体输送气速、粒度分布、含水率、温度、管道参数等多因素对输送效率和稳定性的耦合影响机理。针对输送过程中颗粒淤积、堵塞等问题，本文综述了双管插座、优化辅助进气口、主动流场控制等解决方案。基于这些解决方案，本文提出未来应重点研究多物理场动态耦合模型以及气固、气液模型的类比和扩展，以促进高效、低能气动输送系统的发展。为深入了解气力输送机理和优化工程应用提供了理论基础。

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引用次数: 0

An improved particle neighbor search algorithm with multi-level cache optimization strategy for discrete element method using GPU 基于GPU的离散元法多级缓存优化改进粒子邻居搜索算法

IF 4.3 2区材料科学 Q2 ENGINEERING, CHEMICAL

Particuology

Pub Date : 2025-09-26 DOI: 10.1016/j.partic.2025.09.013

Hongze Li , Chun Feng , Jili Feng

This paper proposes an improved particle neighbor search algorithm, focusing on optimizing computational efficiency and memory usage in large-scale particle system simulations. By partitioning the simulation space into grids and combining it with Morton encoding, it ensures that adjacent grids are stored contiguously in memory, thereby enhancing the locality of data access and reducing the probability of cache misses. In the particle sorting phase, Morton encoding is used to rearrange the particles, further enhancing memory continuity and leveraging the hardware cache's prefetching mechanism to reduce data read latency. The algorithm also incorporates the idea of the Verlet table method by setting a sorting threshold to optimize the sorting process, avoiding redundant calculations and unnecessary sorting operations. Through the above optimization methods, a multi-level cache optimization strategy is achieved, significantly improving the algorithm's performance and memory utilization efficiency. Experimental results show that the algorithm proposed in this paper has significant advantages in large-scale particle simulations.

本文提出了一种改进的粒子邻居搜索算法，重点是优化大规模粒子系统模拟的计算效率和内存使用。通过将仿真空间划分为网格，并结合Morton编码，保证相邻网格连续存储在内存中，从而增强数据访问的局部性，降低缓存丢失的概率。在粒子排序阶段，采用Morton编码对粒子进行重新排列，进一步增强内存连续性，并利用硬件缓存的预取机制减少数据读取延迟。该算法还结合了Verlet表方法的思想，通过设置排序阈值来优化排序过程，避免了冗余计算和不必要的排序操作。通过以上优化方法，实现了多级缓存优化策略，显著提高了算法的性能和内存利用效率。实验结果表明，本文提出的算法在大尺度粒子模拟中具有明显的优势。

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引用次数: 0

A novel regime map for twin-screw melt granulation: Unveiling new insights into key operating variables 双螺杆熔体造粒的新制度图：揭示对关键操作变量的新见解

IF 4.3 2区材料科学 Q2 ENGINEERING, CHEMICAL

Particuology

Pub Date : 2025-09-25 DOI: 10.1016/j.partic.2025.09.012

Jacquelina C. Lobos de Ponga , Marcos Díaz Muñoz , Ivana M. Cotabarren , Juliana Piña

Regime maps are vital in twin-screw granulation, predicting outcomes via dimensionless numbers. This study develops a novel regime map for twin-screw melt granulation, adapting a wet granulation model. Using Design of Experiments, screw speed, screw configuration, temperature, and binder amount were optimized with lactose and PEG 6000. Results show how these variables impact on particle size and flowability. Optimal conditions (20 wt% PEG, 70 °C, 100 rpm) yielded granules with 0.360 mm median size and 6.67 % Carr Index, indicating excellent flow. Increased binder and kneading elements led to larger granules, while higher screw speed enhanced mixing. Elevated temperatures boosted binder melting. The regime map accurately categorized growth, largely in the breakage-dominated region, and was validated across systems, proving its predictive potential.

体制图是至关重要的双螺杆造粒，通过无因次数预测结果。本研究开发了一种新的双螺杆熔体造粒机制图，采用湿式造粒模型。采用实验设计法，以乳糖和PEG 6000为主要原料，对螺杆转速、螺杆构型、温度、粘结剂用量进行了优化。结果显示了这些变量对颗粒大小和流动性的影响。最佳条件（20 wt% PEG, 70°C, 100 rpm）产生的颗粒中位数尺寸为0.360 mm，卡尔指数为6.67%，表明流动性良好。增加粘结剂和捏合元素导致更大的颗粒，而更高的螺杆转速增强混合。高温促进了粘结剂的熔化。制度图准确地分类了生长，主要是在破碎为主的区域，并在各个系统中得到验证，证明了其预测潜力。

引用次数: 0

Characteristics of mass transfer between bubble and emulsion phases of high-temperature gas–solid bubbling fluidized beds 高温气固鼓泡流化床泡相与乳相传质特性

IF 4.3 2区材料科学 Q2 ENGINEERING, CHEMICAL

Particuology

Pub Date : 2025-09-25 DOI: 10.1016/j.partic.2025.09.014

Jinchao Xie , Han Gao , Qingjin Zhang , Jinliang Chen , Zezhong Wang , Chenxi Zhang , Dingrong Bai

Understanding interphase mass transfer is crucial for the efficient design and operation of gas–solid fluidized beds, which are widely used in various industrial processes. However, research on mass transfer behavior in such systems, particularly at high temperatures (e.g., >1000 °C), remains sparse. This study, dedicated to Profs. Yong Jin and Zhiqing Yu's contributions to fluidization, elucidates the mass transfer behavior of gas-solid bubbling fluidized beds at temperatures up to 1600 °C by modeling gas residence time distribution data using a two-phase model. We examine the effects of temperature, gas velocity, bed height, and particle size on mass transfer characteristics. The results reveal that the mass transfer flux increases with temperature up to 800 °C, peaking within this range before stabilizing above 1200 °C. This trend is closely linked to the behavior of bubble dynamics, where bubble size initially decreases significantly as temperature rises, eventually reaching a plateau at higher temperatures. Experimental pressure fluctuation analysis validates this behavior, further supporting the observed temperature effects on bubble dynamics. Higher gas velocity reduces the mass transfer flux and mitigates back-mixing, while bed height and particle size affect bubble dynamics in a nonlinear manner. Experimental validation confirms the potential of these findings for optimizing the design and operation of high-temperature bubbling fluidized bed reactors.

气固流化床广泛应用于各种工业生产过程，了解气固流化床的传质特性对其高效设计和运行至关重要。然而，对这种系统的传质行为的研究，特别是在高温下（例如，1000°C），仍然很少。这项研究，献给教授们。金勇和余志清对流态化的贡献，通过使用两相模型模拟气体停留时间分布数据，阐明了温度高达1600°C时气固鼓泡流化床的传质行为。我们研究了温度、气速、床层高度和粒径对传质特性的影响。结果表明，在温度高达800℃时，传质通量随温度升高而增大，在此范围内达到峰值，在1200℃以上趋于稳定。这一趋势与气泡动力学行为密切相关，气泡尺寸最初随着温度升高而显著减小，最终在更高温度下达到平稳期。实验压力波动分析验证了这一行为，进一步支持了观察到的温度对气泡动力学的影响。较高的气速降低了传质通量，减轻了反混合，而床层高度和粒径以非线性方式影响气泡动力学。实验验证证实了这些发现在优化高温鼓泡流化床反应器的设计和运行方面的潜力。

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引用次数: 0

Hydrodynamics study of solid−liquid mixing in a novel pulsed precipitation reactor based on DEM–VOF simulation 基于DEM-VOF模拟的新型脉冲沉淀反应器固液混合流体动力学研究

IF 4.3 2区材料科学 Q2 ENGINEERING, CHEMICAL

Particuology

Pub Date : 2025-09-20 DOI: 10.1016/j.partic.2025.09.010

Xin Huang , Dehui Wu , Zongtai Wang , Yunhai Huang , Ting Wang , Na Wang , Jing Ma , Hongxun Hao

Efficient and reliable precipitation reactors are of great significance for the recovery of spent nuclear fuel. However, most current spent nuclear fuel precipitation reactors rely on agitation-driven mixing, which suffers from low mixing efficiency and high failure rates. In this study, a pulse pressure-driven spent nuclear fuel precipitation reactor was designed and its hydrodynamics performance were investigated using a CFD–DEM–VOF coupled numerical approach. Three key process parameters were systematically examined, including pulse period, pulse pressure, and initial liquid level. The simulation results revealed that pulse period and pulse pressure significantly influenced hydrodynamic behavior and particle suspension performance, whereas the initial liquid level had a subordinate effect. Under optimized pulse conditions, effective mixing and uniform particle suspension could be achieved regardless of the initial liquid height. Furthermore, a quantitative evaluation of mixing and suspension performance was conducted based on average flow velocity, average turbulent kinetic energy, and the relative standard deviation of particle suspension uniformity. The results demonstrated that efficient fluid mixing and homogeneous particle suspension could be realized under appropriate operating conditions. This study provides theoretical guidance for developing high-performance pulse-driven precipitation reactors and optimizing their operational processes in spent nuclear fuel treatment.

高效可靠的沉淀堆对于乏燃料的回收具有重要意义。然而，目前大多数乏燃料沉淀堆采用搅拌驱动混合，存在混合效率低、故障率高的问题。设计了脉冲压力驱动的乏燃料沉淀堆，采用CFD-DEM-VOF耦合数值方法研究了乏燃料沉淀堆的流体力学性能。系统地检查了三个关键工艺参数，包括脉冲周期、脉冲压力和初始液位。仿真结果表明，脉冲周期和脉冲压力对流体动力行为和颗粒悬浮性能有显著影响，初始液位的影响较小。在优化的脉冲条件下，无论初始液体高度如何，均能实现有效的混合和均匀的颗粒悬浮。基于平均流速、平均湍流动能和颗粒悬浮均匀性的相对标准偏差，对混合和悬浮性能进行了定量评价。结果表明，在适当的操作条件下，可以实现高效的流体混合和均匀的颗粒悬浮。该研究为开发高性能脉冲驱动沉淀堆及优化其乏燃料处理操作流程提供了理论指导。

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引用次数: 0

Marine inspired design of soil rippers using ship bulbous bow geometries: A cross-disciplinary approach with DEM simulation insights 利用船首球形几何形状的海洋启发设计的土壤撕裂器：具有DEM模拟见解的跨学科方法

IF 4.3 2区材料科学 Q2 ENGINEERING, CHEMICAL

Particuology

Pub Date : 2025-09-20 DOI: 10.1016/j.partic.2025.09.011

Egidijus Katinas , Regita Bendikienė , Antanas Čiuplys , Rostislav Chotěborský , Monika Hromasová , Barbora Kuřetová

Over the past decades, scientists have studied tillage and soil processing technologies based on the classical shapes of agricultural tools. Numerous studies highlight the importance of agricultural tool longevity in relation to abrasive wear resistance and draught force values. However, these studies are typically limited to the most common shapes and types of tools. This paper combines the insights gained from the marine industry's experience in the design of ship's bulbous bows with the challenges of designing soil rippers for agricultural machinery. New shape elements were developed based on the delta, oval, and nabla types of bulbous bows used in ships. Thirteen types of designed elements, along with the original shape, were tested virtually using the Discrete Element Method (DEM). The 3D-printed samples were then tested in a sand bin to measure draught force. DEM simulation parameters were validated by measuring the Static Angle of Repose (SAOR) of sand. The results of this study demonstrate that applying a bulbous bow-inspired shape to the soil ripper can reduce draught force by 7.1 %; however, in some cases, it can also increase the force by 4.1 % compared to the original shape. The values are giving statistically significant differences between the experimental measurements. To fully evaluate the application of these designed elements, further soil disturbance and wear analysis studies should be conducted in future research.

在过去的几十年里，科学家们研究了基于农具经典形状的耕作和土壤处理技术。许多研究强调了农具寿命与磨料耐磨性和牵引力值的重要性。然而，这些研究通常仅限于最常见的形状和类型的工具。本文结合了从船舶球茎艏设计中获得的海洋工业经验和农业机械土壤撕裂器设计的挑战。新的形状元素是基于船上使用的三角形、椭圆形和纳布拉型球茎弓而开发的。采用离散元法（DEM）对13种设计单元及其原始形状进行了虚拟测试。3d打印的样品随后在沙箱中进行测试，以测量牵引力。通过测量砂土静态休止角（SAOR）对DEM模拟参数进行验证。研究结果表明，采用球茎弓形掘进机可使掘进机的牵引力降低7.1%；然而，在某些情况下，与原始形状相比，它也可以增加4.1%的力。这些值在实验测量之间给出了统计上显著的差异。为了充分评价这些设计元素的应用，在未来的研究中还需要进行进一步的土壤扰动和磨损分析研究。

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引用次数: 0

Acoustic agglomeration for fire smoke control: A state-of-the-art review 火灾烟气控制的声学聚块：最新进展

IF 4.3 2区材料科学 Q2 ENGINEERING, CHEMICAL

Particuology

Pub Date : 2025-09-18 DOI: 10.1016/j.partic.2025.09.009

Guangxue Zhang, Ziyue Chen, Sirui Tong, Dingkun Yuan, Yunchao Li, Jiangrong Xu

The increasing complexity of urban buildings has significantly heightened fire risks, posing serious threats to public safety. In the event of a fire, smoke particles scatter and absorb light, drastically reducing visibility and greatly endangering trapped individuals. Existing smoke control methods face notable limitations. Natural ventilation is susceptible to environmental conditions. Solid obstructions such as firewalls can impede evacuation. Fine water mist may remain suspended in air and reduce visibility. Moreover, these approaches do not directly control smoke particles, so there is a need for innovative solutions. Acoustic agglomeration, which leverages high-intensity acoustic fields to induce relative motion among smoke particles and facilitate rapid agglomeration, is a promising technology for improving visibility in smoke-filled environments. It operates independently of ambient conditions, does not require solid barriers, and introduces no additional particles, which underscores its advantages for evacuation and rescue. This review synthesizes the development, mechanisms, operating parameters, sound sources, and hybrid strategies of acoustic agglomeration for fire smoke control, identifies remaining gaps, and assesses feasibility. The insights are intended to support researchers and decision-makers in advancing more effective smoke control strategies.

城市建筑日益复杂，火灾风险显著增加，对公共安全构成严重威胁。一旦发生火灾，烟雾颗粒会散射并吸收光线，大大降低能见度，并极大地危及被困人员。现有的烟雾控制方法面临着明显的局限性。自然通风易受环境条件的影响。诸如防火墙之类的固体障碍物会妨碍疏散。细水雾可能悬浮在空气中，降低能见度。此外，这些方法不能直接控制烟雾颗粒，因此需要创新的解决方案。声团聚是利用高强度声场诱导烟雾颗粒之间的相对运动并促进快速团聚的一种有前途的技术，可以提高烟雾弥漫环境中的能见度。它的运行不受环境条件的影响，不需要固体屏障，也不引入额外的颗粒，这凸显了它在疏散和救援方面的优势。本文综述了火灾烟气控制声学聚集的发展、机制、运行参数、声源和混合策略，确定了剩余的差距，并评估了可行性。这些见解旨在支持研究人员和决策者推进更有效的烟雾控制策略。

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引用次数: 0

CFD-DEM-SPM modeling of permeability and pressure drop in cohesive zones of heterogeneous alternating layer beds for low-carbon blast furnace ironmaking 低碳高炉炼铁非均质交变层床黏结带渗透率和压降的CFD-DEM-SPM模型

IF 4.3 2区材料科学 Q2 ENGINEERING, CHEMICAL

Particuology

Pub Date : 2025-09-18 DOI: 10.1016/j.partic.2025.09.008

Qiang Li , Yu Jiang , Jiayun Dan , Suwei Ma

To reduce greenhouse gas emissions in ironmaking, the steel industry is advancing innovative low-carbon blast furnace (BF) technologies. A critical challenge for implementing such innovations lies in optimizing permeability within the BF's cohesive zone (CZ), which directly impacts operational stability and efficiency. This study employs a coupled computational fluid dynamics-discrete element method (CFD-DEM) to calibrate Young's modulus by respectively fitting the relationship between Young's modulus and temperature, as well as pressure drop, based on a reported lab-scale softening and smelting experimental data of ore-coke heterogeneous alternating layer packed beds resembling BFs, and develops a softening particle model (SPM). The SPM establishes a temperature-dependent relationship between mechanical properties of softened ore particles and CZ conditions in industrial-scale BFs. Simulations of particle shrinkage behavior and pressure drop trends using the CFD-DEM-SPM framework demonstrate strong correlation with experimental data, validating its accuracy for predictive analysis. Furthermore, this study investigates how layer arrangement configurations, size ratios between ore and coke particles, and coke blending proportions influence CZ characteristics. Key findings identify an optimal batch weight configuration to enhance permeability within the CZ while maintaining operational stability. Additionally, results indicate that increasing the relative particle size of ore compared to coke or enhancing the proportion of blended coke in burden mixes improves CZ permeability, offering actionable strategies for reducing carbon intensity in BF operations. These insights provide critical guidance toward developing low-carbon BF processes compatible with global climate targets.

为了减少炼铁过程中的温室气体排放，钢铁行业正在推进创新的低碳高炉（BF）技术。实施这些创新的一个关键挑战在于优化高炉内聚层（CZ）的渗透率，这直接影响到运行的稳定性和效率。本研究基于已报道的类似BFs的矿焦非均质交替层充填床软化和冶炼实验数据，采用计算流体动力学-离散元耦合方法（CFD-DEM）分别拟合杨氏模量与温度和压降的关系，对杨氏模量进行标定，并建立软化颗粒模型（SPM）。SPM建立了工业规模高炉中软化矿石颗粒的力学性能与CZ条件之间的温度依赖关系。利用CFD-DEM-SPM框架对颗粒收缩行为和压降趋势进行了模拟，结果与实验数据具有很强的相关性，验证了其预测分析的准确性。此外，本文还研究了层状排列构型、矿石与焦炭颗粒粒度比以及焦炭掺混比例对CZ特性的影响。主要研究结果确定了最佳的批重量配置，以提高CZ内的渗透率，同时保持操作稳定性。此外，研究结果表明，增加矿石相对于焦炭的相对粒度或提高混合焦炭在炉料中的比例可以提高CZ的渗透率，为降低高炉运行中的碳强度提供了可行的策略。这些见解为开发符合全球气候目标的低碳高炉工艺提供了重要指导。

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引用次数: 0

A drag model containing compressibility, rarefaction and temperature ratio effects based on genetic algorithm fitting 基于遗传算法拟合的包含可压缩性、稀薄性和温度比效应的阻力模型

IF 4.3 2区材料科学 Q2 ENGINEERING, CHEMICAL

Particuology

Pub Date : 2025-09-16 DOI: 10.1016/j.partic.2025.09.007

Lite Zhang , Sifan Wu , Yang Feng , Xiangbo Meng , Heng Zhang , Haozhe Jin , Genfu Xu

This study presents a semi-empirical, comprehensive drag coefficient formulation for spherical particles moving in a gaseous medium. Leveraging a substantial body of experimental data, Direct Numerical Simulation (DNS), and Direct Simulation Monte Carlo (DSMC) results, the formulation incorporates compressibility, rarefaction, temperature ratio, shock wave physics, drag crisis and recovery effects. This comprehensive approach accurately models particle drag across a wide range of particle Mach and Reynolds numbers. Specifically, a genetic algorithm is employed to fit the formulation to the aforementioned data, resulting in a concrete expression. Compared to two latest universal drag models, the proposed formulation demonstrates a significantly lower relative error. Furthermore, three-dimensional numerical simulations using Ansys Fluent validate the accuracy of the developed model in applications, by contrasting its performance with the two state-of-the-art universal drag models.

本文提出了球形颗粒在气体介质中运动的半经验的、综合的阻力系数公式。利用大量的实验数据、直接数值模拟（DNS）和直接模拟蒙特卡罗（DSMC）结果，该公式结合了可压缩性、稀薄性、温度比、冲击波物理、阻力危机和恢复效应。这种全面的方法准确地模拟了粒子在大范围内的马赫和雷诺数的阻力。具体而言，利用遗传算法将公式拟合到上述数据中，得到具体表达式。与两种最新的通用阻力模型相比，该公式的相对误差显著降低。此外，利用Ansys Fluent进行了三维数值模拟，通过对比两种最先进的通用阻力模型的性能，验证了所开发模型在应用中的准确性。

引用次数: 0