基于DEM-MBD耦合的多路螺旋推进车辆机构设计与性能分析

IF 5.2 2区 计算机科学 Q2 ROBOTICS
Shurui Shi, Dong Wang
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引用次数: 0

摘要

螺旋推进车辆(SPV)是一种新型的多地形车辆,由于其出色的地形适应性和机动性,在军事、救援和极端环境应用中显示出巨大的潜力。然而,现有的研究大多侧重于单一环境下的性能分析,缺乏对多路况下车辆性能的系统研究。本文采用创新的多体动力学(MBD)与离散元法(DEM)相结合的耦合方法,建立了一种能够捕捉SPV与复杂地形相互作用的综合模型。该模型精确地模拟了车辆在各种具有挑战性的道路条件下的机械行为,包括沙地、雪地和干草地。采用响应面法(RSM)和蒙特卡罗方法,对SPV的高径比、螺旋角、叶片数等关键结构参数进行了优化。该优化过程确定了在多种道路条件下产生最佳性能的参数组合。实验结果表明,优化后的SPV在不同环境下的适应性和稳定性显著提高,从而验证了数值模型的准确性和可靠性。该研究为增强和优化未来SPV的性能提供了坚实的理论基础,并有望促进复杂任务和极端条件下螺旋推进技术的持续发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Mechanism Design and Performance Analysis of Multi-Road Screw-Propelled Vehicle Based on DEM–MBD Coupling

Mechanism Design and Performance Analysis of Multi-Road Screw-Propelled Vehicle Based on DEM–MBD Coupling

Screw-propelled vehicle (SPV) is a novel multi-terrain vehicle that demonstrates significant potential in military, rescue, and extreme environment applications due to its exceptional terrain adaptability and maneuverability. However, most existing studies primarily focus on performance analysis in a single environment, resulting in a lack of systematic research on vehicle performance across multiple road conditions. In this study, an innovative coupling method combining multi-body dynamics (MBD) and the discrete element method (DEM) was employed to establish a comprehensive model that captures the interaction between the SPV and complex terrain. This model accurately simulates the mechanical behavior of the vehicle under various challenging road conditions, including sand, snow, and hay fields. Using the response surface method (RSM) and the Monte-Carlo method, we optimized key structural parameters of the SPV, such as the height-to-diameter ratio, spiral angle, and number of blades. This optimization process identified the parameter combinations that yield the best performance across multiple road conditions. Experimental results indicate that the adaptability and stability of the optimized SPV in diverse environments have significantly improved, thereby validating the accuracy and reliability of the numerical model. This study provides a solid theoretical foundation for enhancing and optimizing the performance of future SPV and is expected to facilitate ongoing advancements in screw propulsion technology for complex tasks and extreme conditions.

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来源期刊
Journal of Field Robotics
Journal of Field Robotics 工程技术-机器人学
CiteScore
15.00
自引率
3.60%
发文量
80
审稿时长
6 months
期刊介绍: The Journal of Field Robotics seeks to promote scholarly publications dealing with the fundamentals of robotics in unstructured and dynamic environments. The Journal focuses on experimental robotics and encourages publication of work that has both theoretical and practical significance.
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