CFD simulations of gearboxes: implementation of a mesh clustering algorithm for efficient simulations of complex system’s architectures

IF 3.4 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY
Marco Nicola Mastrone, Franco Concli
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引用次数: 0

Abstract

In the last decade, computer-aided engineering (CAE) tools have become a determinant factor in the analysis of engineering problems. In fact, they bring a clear reduction of time in the design phase of a new product thanks to parametrical studies based on virtual prototypes. The application of such tools to gearboxes allowed engineers to study the efficiency and lubrication inside transmissions. However, the difficulties of handling the computational domain are still a concern for complex system configurations. For this reason, the authors maintain that it is fundamental to introduce time efficient algorithms that enable the effective study of any kind of gear, e.g., helical and bevel configurations. In this work, a new mesh handling strategy specifically suited for this kind of studies is presented. The methodology is based on the Global Remeshing Approach with Mesh Clustering (GRAMC) process that drastically reduces the simulation time by minimizing the effort for updating the grids. This procedure was tested on spur, helical, and bevel gears, thus demonstrating the flexibility of the approach. The comparison with experimentally measured power losses highlighted the good accuracy of the strategy. The algorithm was implemented in the opensource software OpenFOAM®.

齿轮箱的 CFD 模拟:实施网格聚类算法,高效模拟复杂系统结构
近十年来,计算机辅助工程(CAE)工具已成为分析工程问题的决定性因素。事实上,通过基于虚拟原型的参数研究,计算机辅助工程工具明显缩短了新产品设计阶段的时间。将此类工具应用于变速箱后,工程师可以研究变速箱内部的效率和润滑情况。然而,对于复杂的系统配置来说,处理计算域的困难仍然是一个令人担忧的问题。因此,作者认为,最根本的是要引入省时高效的算法,以便有效研究任何类型的齿轮,例如螺旋和锥齿轮配置。在这项工作中,提出了一种专门适用于此类研究的新网格处理策略。该方法基于网格聚类全局重网格化方法(GRAMC),通过最大限度地减少更新网格的工作量,大大缩短了仿真时间。该程序在正齿轮、斜齿轮和伞齿轮上进行了测试,从而证明了该方法的灵活性。与实验测量的功率损耗进行比较后发现,该策略具有良好的准确性。该算法在开源软件 OpenFOAM® 中实现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
8.60
自引率
0.00%
发文量
1
审稿时长
13 weeks
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