Friction modeling from a practical point of view

IF 2.6 2区工程技术 Q2 MECHANICS

Multibody System Dynamics Pub Date : 2024-04-05 DOI:10.1007/s11044-024-09978-0

Matthias Schuderer, Georg Rill, Thomas Schaeffer, Carsten Schulz

引用次数: 0

Abstract

Regularized static friction models have been used successfully for many years. However, they are unable to maintain static friction in detail. For this reason, dynamic friction models have been developed and published in the literature. However, commercial multibody simulation packages such as Adams, RecurDyn, and Simpack have developed their own specific stick-slip models instead of adopting one of the public domain approaches. This article introduces the fundamentals of these commercial models and their behavior from a practical point of view. The stick-slip models were applied to a simple test model and a more sophisticated model of a festoon cable system using their standard parameters.

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从实用角度看摩擦建模

正则化静摩擦模型已成功应用多年。然而，这些模型无法详细保持静摩擦力。因此，人们开发了动态摩擦模型并在文献中发表。然而，Adams、RecurDyn 和 Simpack 等商业多体仿真软件包开发了自己的特定粘滑模型，而不是采用其中一种公共领域的方法。本文从实用角度介绍了这些商业模型的基本原理及其行为。使用标准参数将粘滞滑移模型应用于一个简单的测试模型和一个更复杂的节气缆系统模型。

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

Multibody System Dynamics 物理-力学

CiteScore

6.00

自引率

17.60%

发文量

审稿时长

12 months

期刊介绍： The journal Multibody System Dynamics treats theoretical and computational methods in rigid and flexible multibody systems, their application, and the experimental procedures used to validate the theoretical foundations. The research reported addresses computational and experimental aspects and their application to classical and emerging fields in science and technology. Both development and application aspects of multibody dynamics are relevant, in particular in the fields of control, optimization, real-time simulation, parallel computation, workspace and path planning, reliability, and durability. The journal also publishes articles covering application fields such as vehicle dynamics, aerospace technology, robotics and mechatronics, machine dynamics, crashworthiness, biomechanics, artificial intelligence, and system identification if they involve or contribute to the field of Multibody System Dynamics.