Advances in Engineering Software最新文献

Refined finite element analysis of helical wire ropes under multi-axial dynamic loading 多轴动态载荷下螺旋钢丝绳的精细有限元分析

IF 4 2区工程技术 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Advances in Engineering Software

Pub Date : 2024-11-16 DOI: 10.1016/j.advengsoft.2024.103823

Huile Li , Huan Yan

Due to high tensile strength, light weight, and good flexibility, the steel wire ropes with helical structures are widely used as crucial load-bearing components in various industrial sectors such as civil engineering. They are subjected to significant vibrations caused by multi-axial dynamic loading during the service period which may eventually result in premature failures. This paper presents a refined finite element analysis method for helical wire ropes under multi-axial dynamic loading. The proposed method employs multi-directional dynamic excitations extracted from the analysis of the overall engineering systems to consider actual loading conditions. Refined finite element analysis of the entire steel wire rope under multi-axial dynamic loading is carried out for the first time based on the global-local finite element model to obtain detailed mechanical responses. The critical rope segment is represented by solid elements taking into account the helical structure, inter-wire frictional contact, slippage, and material nonlinearity, among others, and non-critical segments are simulated with beam elements in the established global-local model, which can achieve good balance between computational efficiency and accuracy. The refined finite element modeling strategy is validated via three numerical examples with comparisons against the results in the literature. The proposed method is illustrated on the suspender cable used in suspension bridges. Detailed mechanical responses and their influencing factors are examined to acquire new insights into the dynamic mechanical characteristics of typical double-helical wire rope. The present work can provide an efficient tool for the assessment of in-service engineering systems containing helical wire ropes.

螺旋结构钢丝绳具有抗拉强度高、重量轻、柔韧性好等特点，被广泛用作土木工程等各工业领域的重要承重部件。在使用过程中，它们会受到多轴动态载荷引起的剧烈振动，最终可能导致过早失效。本文提出了一种针对多轴动态载荷下螺旋钢丝绳的精细有限元分析方法。所提出的方法采用了从整体工程系统分析中提取的多方向动态激励，以考虑实际加载条件。基于全局-局部有限元模型，首次对多轴向动态载荷下的整个钢丝绳进行了精细有限元分析，以获得详细的机械响应。考虑到螺旋结构、钢丝间摩擦接触、滑移和材料非线性等因素，关键绳段由实体元素表示，而非关键绳段则在已建立的全局-局部模型中使用梁元素进行模拟，从而在计算效率和精度之间实现了良好的平衡。改进后的有限元建模策略通过三个数值实例进行了验证，并与文献中的结果进行了比较。提出的方法以悬索桥中使用的悬索为例进行了说明。研究了详细的机械响应及其影响因素，从而对典型双螺旋钢丝绳的动态机械特性有了新的认识。本研究可为评估包含螺旋钢丝绳的在役工程系统提供有效工具。

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引用次数: 0

An engineering-oriented Shallow-water Hydro-Sediment-Morphodynamic model using the GPU-acceleration and the hybrid LTS/GMaTS method 利用 GPU 加速和 LTS/GMaTS 混合方法建立面向工程的浅水水文沉积-形态动力学模型

IF 4 2区工程技术 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Advances in Engineering Software

Pub Date : 2024-11-16 DOI: 10.1016/j.advengsoft.2024.103821

Zixiong Zhao , Peng Hu , Wei Li , Zhixian Cao , Youwei Li

Engineering applications of finite volume Shallow-water Hydro-Sediment-Morphodynamic models (SHSM) have faced limitations due to their high computational demands arising from either extremely large amounts of computational cells or extremely small time steps at some regions and simultaneously the adoption of the globally minimum time step. To this end, we present an engineering-oriented modeling framework by (1) using the GPU-acceleration that overcomes the challenge of extremely large amounts of computational cells and (2) using a hybrid local-time-stepping/global maximum time step (LTS/GMaTS) strategy that mitigates the extremely small local time steps necessitated by locally-refined meshes or non-uniformity of flow conditions. The GPU parallel algorithm is tailored to fully leverage the computational power of GPU, optimizing numerical structure, kernel functions and memory usage, all in conjunction with the hybrid LTS/GMaTS implementation. We demonstrate its computational efficiency by simulating one experimental dam-break flow and a field-scale case in the Xinjiu waterway, Middle Yangtze River. The results show that the scheme performs well in terms of accuracy, efficiency, and robustness in reproducing real-world hydro-sediment-morphological evolution.

有限体积浅水水文-沉积-形态动力学模型（SHSM）的工程应用面临着诸多限制，原因是其计算需求很高，要么是计算单元数量极大，要么是某些区域的时间步长极小，同时还采用了全局最小时间步长。为此，我们提出了一个面向工程的建模框架：(1) 使用 GPU 加速，克服了计算单元量极大的挑战；(2) 使用局部时间步长/全局最大时间步长（LTS/GMaTS）混合策略，缓解了因局部细化网格或流动条件不均匀而导致的局部时间步长极小的问题。为充分利用 GPU 的计算能力，我们对 GPU 并行算法进行了定制，优化了数值结构、内核函数和内存使用，所有这些都与 LTS/GMaTS 混合实现相结合。我们通过模拟长江中游新九水道的一次试验性断坝流和一个野外尺度的案例，证明了该方案的计算效率。结果表明，该方案在再现真实世界水文沉积物形态演变方面具有良好的精度、效率和鲁棒性。

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引用次数: 0

Dimensionality reduction of solution reconstruction methods for a four-point stencil 四点模版求解重构方法的降维问题

IF 4 2区工程技术 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Advances in Engineering Software

Pub Date : 2024-11-15 DOI: 10.1016/j.advengsoft.2024.103804

Seongmun Jung, Seung-Yun Shin , Sang Lee

The development of reconstruction methods has faced considerable challenges due to their inherent high dimensionality. In the present study, an innovative dimensionality reduction method aimed at mitigating these challenges by normalizing flow variables is proposed. Through our investigation, we demonstrate that a reconstruction method, specifically designed for a four-point stencil that is compatible with unstructured meshes, can be effectively represented by six two-dimensional functions. This key insight enables us to devise a visualization technique utilizing a single contour plot for the reconstruction method. Additionally, we establish that a single data set can adequately represent the reconstruction method, facilitating solution reconstruction through data set interpolation. By carefully evaluating the interpolation error, a data set of reasonable size yields sufficiently small interpolation errors. Notably, we uncover the possibility of extracting reconstruction methods from a trained artificial neural network (ANN). To gauge the impact of accumulated interpolation errors on solution quality, we conduct comprehensive analyses on four benchmark problems. Our results demonstrate that with a data set of sufficient size, the accumulated interpolation error becomes negligible, rendering the solution reconstruction by interpolating the extracted data set both accurate and cost-effective. The implications of our findings hold substantial promise for enhancing the efficiency and efficacy of reconstruction methods.

由于其固有的高维性，重建方法的开发面临着相当大的挑战。本研究提出了一种创新的降维方法，旨在通过对流动变量进行归一化来缓解这些挑战。通过研究，我们证明了一种专为四点模版设计的重构方法可以有效地用六个二维函数来表示，该方法与非结构网格兼容。这一重要见解使我们能够设计出一种可视化技术，利用单一等高线图来表示重建方法。此外，我们还确定了单个数据集可充分代表重建方法，从而通过数据集插值促进解的重建。通过仔细评估插值误差，合理大小的数据集可产生足够小的插值误差。值得注意的是，我们发现了从训练有素的人工神经网络（ANN）中提取重构方法的可能性。为了衡量累积插值误差对求解质量的影响，我们对四个基准问题进行了全面分析。我们的结果表明，只要数据集足够大，累积插值误差就可以忽略不计，从而使通过对提取的数据集进行插值来重构解决方案既准确又经济。我们的研究结果为提高重构方法的效率和效力带来了巨大希望。

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引用次数: 0

Stress-constrained topology optimization of geometrically nonlinear continuum structures by using parallel computing strategy 利用并行计算策略对几何非线性连续结构进行应力约束拓扑优化

IF 4 2区工程技术 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Advances in Engineering Software

Pub Date : 2024-11-14 DOI: 10.1016/j.advengsoft.2024.103805

Lei Zhao , Jiaxin Zheng , Jinhu Cai , Jiayi Hu , Yan Han , Jianhua Rong

Stress-constrained topology optimization under geometrical nonlinear conditions is still an open topic as it often encounter difficulties such as mesh distortion, inaccurate stress evaluation and low computational efficiency. For this purpose, this paper develops a novel parallel-computing based topology optimization methodology for geometrically nonlinear continuum structures with stress constraints. To alleviate the mesh distortions in the low-density regions, a smooth material interpolation scheme from with different penalization for the elastic and nonlinear stiffness is proposed. Moreover, a new hybrid stress finite element formulation is included into the geometrically nonlinear topology optimization to capture a more accurate stress distribution that is less sensitive to mesh distortions. Then, to improve the computational efficiency of geometrically nonlinear and sensitivity analysis, a parallel computing framework based on the assembly free iterative solution is established. Meanwhile, an efficient sparse matrix-vector multiplication strategy, which is applicable to solve the geometrically nonlinear problems, is proposed to exploit the computing power of GPU effectively. Finally, several numerical examples are given to illustrate the efficiency and feasibility of the proposed method.

几何非线性条件下的应力约束拓扑优化仍然是一个开放性课题，因为它经常遇到网格变形、应力评估不准确和计算效率低等困难。为此，本文针对具有应力约束的几何非线性连续结构，开发了一种基于并行计算的新型拓扑优化方法。为了减轻低密度区域的网格变形，本文提出了一种平滑的材料插值方案，并对弹性和非线性刚度进行了不同的惩罚。此外，在几何非线性拓扑优化中加入了新的混合应力有限元公式，以捕捉更精确的应力分布，降低对网格变形的敏感性。然后，为了提高几何非线性分析和灵敏度分析的计算效率，建立了基于无装配迭代求解的并行计算框架。同时，提出了一种适用于解决几何非线性问题的高效稀疏矩阵-向量乘法策略，以有效利用 GPU 的计算能力。最后，给出了几个数值示例来说明所提方法的效率和可行性。

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引用次数: 0

.A multi-objective search-based approach for position and orientation deviations in assemblies with multiple non-ideal surfaces .基于多目标搜索的方法，解决具有多个非理想表面的装配体的位置和方向偏差问题

IF 4 2区工程技术 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Advances in Engineering Software

Pub Date : 2024-11-12 DOI: 10.1016/j.advengsoft.2024.103820

Jian Zhang , Huanxiong Xia , Jianhua Liu , Hongda Shen , Juncheng Luo , Xuerui Zhang

Computing position and orientation deviations (PODs) considering non-ideal morphologies and local deformations of mating surfaces is a key challenge in controlling the performances of assembled mechanical products through tolerance analysis. However, existing computational models based on Skin Model Shapes face difficulty in handling the PODs for all types of assembly issues. This paper proposes a novel multi-objective search-based approach for POD computation on a conception of force equilibrium constraints. A multi-objective particle swarm optimization algorithm is employed to solve the multi-objective model, and the efficiency and accuracy of the proposed approach are tested and compared with the NSGA-II and FEM methods. To demonstrate its distinctive capability to deal with assembly issues with multiple non-ideal mating surfaces, the proposed approach is applied to assemblies with multiple planar and cylindrical surfaces. Finally, an application of predicting the coaxial accuracy of a fuel pump is carried out, and the capabilities of the proposed approach are further demonstrated.

在通过公差分析控制装配机械产品性能的过程中，计算位置和方向偏差（PODs）是一项关键挑战，因为要考虑到配合表面的非理想形态和局部变形。然而，现有的基于 Skin Model Shapes 的计算模型在处理所有类型装配问题的 POD 时都面临困难。本文基于力平衡约束的概念，提出了一种新颖的基于多目标搜索的 POD 计算方法。本文采用多目标粒子群优化算法求解多目标模型，并与 NSGA-II 和 FEM 方法进行了效率和精度测试和比较。为了证明该方法在处理具有多个非理想配合表面的装配问题方面的独特能力，将该方法应用于具有多个平面和圆柱面的装配。最后，应用该方法预测了燃油泵的同轴精度，进一步证明了该方法的能力。

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引用次数: 0

An optimization strategy for customizable global elastic deformation of unit cell-based metamaterials with variable material section discretization 采用可变材料截面离散度的基于单元格的超材料全局弹性变形定制优化策略

IF 4 2区工程技术 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Advances in Engineering Software

Pub Date : 2024-11-12 DOI: 10.1016/j.advengsoft.2024.103817

Andreas Thalhamer , Mathias Fleisch , Clara Schuecker , Peter Filipp Fuchs , Sandra Schlögl , Michael Berer

Metamaterials with their distinctive unit cell-based periodic architecture feature a wide range of possible properties with unusual characteristics and a high potential for optimization. Due to their complex interaction between unit cell geometry and material properties, as well as their inherent multi-scale nature, suitable optimization strategies need to be developed for metamaterials. One potential approach is to optimize the distribution of unit cells within a part to achieve a predefined deformation response. However, a significant challenge lies in determining the appropriate number and distribution of areas with varying properties (material sections) to facilitate an efficient optimization. In this study, a variable material section discretization scheme is presented, which is aimed at automatically updating the discretization to enhance the efficiency of metamaterial optimizations. This scheme is implemented as an extension to a previously proposed Finite Element simulation-based optimization framework for unit cell-based metamaterials. The framework includes a numerical homogenization method and interpolation scheme for efficiently correlating unit cell parameters with homogenized material properties, coupled with a black-box optimization method. In the present study, the previously proposed framework was extended to incorporate a scheme for monitoring and adjusting the material section discretization during the optimization process. To assess the effectiveness of the implemented routine, it was tested in conjunction with a genetic algorithm for optimizing the parameter distribution of a 2D tri-anti-chiral metamaterial to match a predefined lateral deformation under load.

超材料具有独特的基于单元格的周期性结构，具有广泛的可能特性，具有不同寻常的特点和巨大的优化潜力。由于单元格几何形状与材料特性之间的复杂互动关系，以及其固有的多尺度特性，需要为超材料开发合适的优化策略。一种可能的方法是优化单元格在部件中的分布，以实现预定义的变形响应。然而，如何确定具有不同特性的区域（材料部分）的适当数量和分布，以促进高效优化，是一项重大挑战。本研究提出了一种可变材料截面离散化方案，旨在自动更新离散化，提高超材料优化的效率。该方案是对之前提出的基于有限元模拟的优化框架的扩展，适用于基于单元的超材料。该框架包括一种数值均质化方法和插值方案，用于有效地将单元格参数与均质化材料特性相关联，并与黑盒优化方法相结合。在本研究中，对之前提出的框架进行了扩展，纳入了在优化过程中监测和调整材料截面离散化的方案。为了评估实施例程的有效性，我们结合遗传算法对其进行了测试，以优化二维三反手性超材料的参数分布，使其与负载下的预定侧向变形相匹配。

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引用次数: 0

Python-based machine learning estimation of thermo-hydraulic performance along varying nanoparticle shape, nanofluid and tube configuration 基于 Python 的机器学习估算不同纳米粒子形状、纳米流体和管道配置的热液性能

IF 4 2区工程技术 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Advances in Engineering Software

Pub Date : 2024-11-08 DOI: 10.1016/j.advengsoft.2024.103814

Emrehan Gürsoy , Muhammed Tan , Mehmet Gürdal , Yücel Çetinceviz

In this research article, a Python-based machine learning model prediction study was conducted based on the study results obtained from sudden expansion tubes containing different expansion angles, dimpled fin structures and nanofluids, whose thermo-hydraulic performance was previously examined. In the study, Artificial Neural Network and Ridge regression models were used to make predictions on the average Nusselt number (Nu), average Darcy friction factor (f) and performance evaluation criteria (PEC). Physical variations of the sudden expansion tube were taken into account and a detailed comparison of the results was made. A superior average Nu was acquired as 172.45 %, 22.05 %, 17.18 %, 13.65 %, and 7.76 % compared to Ag-MgO/H₂O, Al₂O₃/H₂O (blade), CoFe₂O₄/H₂O, Al₂O₃/H₂O (cylindrical), and Al₂O₃/H₂O (platelet), respectively. The highest Performance Evaluation Criteria (PEC) for Re= 2000 based on Al₂O₃/H₂O (platelet) shows an increase of 4.84 %, 12.08 %, 11.76 %, 66.05 %, and 148.94 % compared to Al₂O₃/H₂O (cylindrical), Al₂O₃/H₂O (blade), CoFe₂O₄/H₂O, Fe₃O₄/H₂O, and Ag-MgO/H₂O, respectively. From the results obtained, it was determined that Python-based Machine Learning approach which facilitates custom optimizations showed a significant performance with small margins of error in predicting the heat transfer parameters. The lowest error rates of machine learning and polynomial ridge regression models ranged from 0.2 % to 5.4 % for the unseen test set and the application of Python-based algorithms provided considerable savings in calculation time compared to conventional methods. On the other hand, using machine learning models with feature engineering has been found to increase model performance by at least 30 %. In these years when studies on the predictions of thermo-hydraulic studies are very rare in the literature, this study is intended to facilitate scientists, engineers and academicians who will further study on this subject.

在这篇研究文章中，根据先前对含有不同膨胀角、凹凸翅片结构和纳米流体的突然膨胀管的热液性能进行的研究结果，开展了基于 Python 的机器学习模型预测研究。研究中使用了人工神经网络和岭回归模型来预测平均努塞尔特数（Nu）、平均达西摩擦因数（f）和性能评价标准（PEC）。考虑到突然膨胀管的物理变化，对结果进行了详细比较。与 Ag-MgO/H2O、Al2O3/H2O（叶片）、CoFe2O4/H2O、Al2O3/H2O（圆柱形）和 Al2O3/H2O（板状）相比，平均 Nu 分别为 172.45 %、22.05 %、17.18 %、13.65 % 和 7.76 %。与 Al2O3/H2O（圆柱形）、Al2O3/H2O（叶片形）、CoFe2O4/H2O、Fe3O4/H2O 和 Ag-MgO/H2O 相比，Al2O3/H2O（平板形）在 Re= 2000 时的最高性能评估标准（PEC）分别提高了 4.84%、12.08%、11.76%、66.05% 和 148.94%。研究结果表明，基于 Python 的机器学习方法便于进行定制优化，在预测传热参数方面表现出色，误差很小。对于未见测试集，机器学习和多项式脊回归模型的最低误差率在 0.2 % 至 5.4 % 之间，与传统方法相比，基于 Python 算法的应用大大节省了计算时间。另一方面，使用带有特征工程的机器学习模型可将模型性能提高至少 30%。近年来，关于热液研究预测的研究在文献中非常罕见，本研究旨在为进一步研究这一课题的科学家、工程师和学者提供便利。

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引用次数: 0

Optimization design of acoustic black hole structures by embedding disordered hyperuniform phononic crystals 通过嵌入无序超均匀声子晶体优化设计声学黑洞结构

IF 4 2区工程技术 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Advances in Engineering Software

Pub Date : 2024-11-08 DOI: 10.1016/j.advengsoft.2024.103818

Yu-Lei Wang , Ji-Hong Zhu , Liang Meng , Tao Liu , Wei-Hong Zhang

Incorporating the unique energy concentration features of acoustic black hole (ABH) and frequency band gaps of phononic crystals, this paper presents an optimization approach for the acoustic black hole structure by embedding disordered hyperuniform phononic crystal (ABH-DHPC). The operating frequency of the design ABH-DHPC is achieved by manipulating the band-gaps of the DHPC. Specifically, the current work establishes an optimization design method for DHPC band gaps by using an equivalent unit cell instead of the supercell of DHPC to calculate the band gap. The ABH-DHPCs, ranging from 1 mm to 100 m, are meticulously crafted to operate within the frequency range of 0.1–100 kHz. Lastly, samples of centimeter size, manufactured using this method, exhibited a remarkable 40-fold enhancement in vibration response during experiments conducted at 1–2 kHz.

本文结合声学黑洞（ABH）独特的能量集中特性和声子晶体的频带隙，提出了一种通过嵌入无序超均匀声子晶体（ABH-DHPC）来优化声学黑洞结构的方法。设计 ABH-DHPC 的工作频率是通过操纵 DHPC 的带隙来实现的。具体来说，目前的研究工作通过使用等效单元格而不是 DHPC 的超单元格来计算带隙，建立了 DHPC 带隙的优化设计方法。ABH-DHPC 的尺寸从 1 毫米到 100 米不等，经过精心制作，可在 0.1-100 kHz 的频率范围内工作。最后，使用这种方法制造的厘米级样品在 1-2 kHz 的实验中显示出显著的 40 倍振动响应增强。

引用次数: 0

A novel binomial-based fuzzy type-2 approach for topology and size optimization of skeletal structures 基于二项式的新型模糊 2 型骨骼结构拓扑和尺寸优化方法

IF 4 2区工程技术 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Advances in Engineering Software

Pub Date : 2024-11-08 DOI: 10.1016/j.advengsoft.2024.103819

Ali Mortazavi

The current work introduces a new probability-based fuzzy type-2 decision mechanism to adjust the optimization process during the simultaneous size and topology optimization of the Skeletal structural systems. For the probabilistic part a binomial module is developed that feeds the fuzzy mechanism by forecasting success probability for future topological actions. The proposed fuzzy decision mechanism permanently monitors the optimization process and attends to dynamically tune the balance between size and topology actions. The presented strategy, by reducing the number of ineffective iterations, significantly enhances the efficiency of the optimization process. Since the proposed decision mechanism is designed as an auxiliary separate module it can be integrated with different optimization methods. Accordingly, in this study, it is integrated with four different optimization algorithms and applied to solve distinct size and topology problems. To comprehensively evaluate the effect of the proposed strategy a new performance index is defined and employed. The acquired results demonstrate that the proposed decision mechanism considerably enhances the search performance of the algorithms on handling the structural size and topology optimization problems.

目前的工作引入了一种新的基于概率的模糊 2 型决策机制，用于调整骨架结构系统同时进行尺寸和拓扑优化时的优化过程。在概率部分，开发了一个二项式模块，通过预测未来拓扑行动的成功概率为模糊机制提供信息。所提出的模糊决策机制可对优化过程进行长期监控，并对尺寸和拓扑结构行动之间的平衡进行动态调整。所提出的策略通过减少无效迭代次数，显著提高了优化过程的效率。由于所提出的决策机制被设计为一个独立的辅助模块，因此可以与不同的优化方法相结合。因此，本研究将其与四种不同的优化算法相结合，并应用于解决不同的尺寸和拓扑问题。为了全面评估所提策略的效果，定义并使用了一个新的性能指标。研究结果表明，建议的决策机制大大提高了算法在处理结构尺寸和拓扑优化问题时的搜索性能。

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引用次数: 0

Contact fatigue life forecasting model considering micro-scale subsurface stress for aerospace spiral bevel gears 考虑微尺度次表面应力的航空螺旋锥齿轮接触疲劳寿命预测模型

IF 4 2区工程技术 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Advances in Engineering Software

Pub Date : 2024-11-05 DOI: 10.1016/j.advengsoft.2024.103813

Hongtao Dong , Xiongyao Deng , Feng Yin , Wenchao Lu , Xiaoqing Zhang , Qiang Wang , Zhenyu Zhou , Han Ding

Focusing on stress distribution at subsurface layer under aerospace service condition in roughness tooth flank meshing interface, a new loaded contact fatigue life forecasting model is developed by considering micro-scale surface effect for aerospace spiral bevel gears. Firstly, tooth flank modeling considering the actual manufacturing process is used for accurate tooth flank point determination having high and uniform grid density. Then, with application geometric approximation and operation, discrete convolution and fast Fourier transformation (DC-FFT) based conjugate gradient (CG) method is applied to determine time-varying load distribution. While at normal direction of each point from the high-density tooth flank discretization after accurate interpolation is added the roughness height from the actual micro-scale geometric topography measurement, a tooth flank reconstruction is performed to determine the micro- scale geometric topography. Then, elastic half-space loaded contact model and DC-FFT method are employed to compute subsurface stress distribution for roughness tooth flank. Von Mises stress is selected as design variable and introduced into Zaretsky model to establish the contact fatigue life forecasting model. Finally, a spiral bevel gear set in aerospace industrial application is exercised to verify the impact of subsurface stress on contact fatigue life.

针对航空航天服役条件下粗糙度齿面啮合界面次表层的应力分布，通过考虑航空航天螺旋锥齿轮的微尺度表面效应，建立了一种新的加载接触疲劳寿命预测模型。首先，考虑到实际制造过程的齿面建模用于精确确定齿面点，网格密度高且均匀。然后，应用几何近似和运算，基于离散卷积和快速傅里叶变换（DC-FFT）的共轭梯度（CG）方法确定时变载荷分布。在高密度齿面离散化的每个点的法线方向上，精确插值后加上实际微尺度几何形貌测量的粗糙度高度，进行齿面重建，以确定微尺度几何形貌。然后，采用弹性半空间加载接触模型和 DC-FFT 方法计算粗糙度齿面的次表面应力分布。选择 Von Mises 应力作为设计变量，并将其引入 Zaretsky 模型，从而建立接触疲劳寿命预测模型。最后，以航空航天工业应用中的螺旋锥齿轮组为例，验证了次表面应力对接触疲劳寿命的影响。

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引用次数: 0