基于虚拟样机的3缸机曲轴系扭振分析及优化研究

董俊红,李伟,杨征睿,刘佳鑫,聂尔冰

车用发动机 ›› 2018, Vol. 0 ›› Issue (2) : 57-63.

车用发动机 ›› 2018, Vol. 0 ›› Issue (2) : 57-63. DOI: 10.3969/j.issn.1001-2222.2018.02.010
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基于虚拟样机的3缸机曲轴系扭振分析及优化研究

  • 董俊红1,李伟1,杨征睿1,刘佳鑫2,聂尔冰3
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Torsional Vibration Analysis and Optimization of Crankshaft System for 3-Cylinder Engine Based on Virtual Prototype Technology

  • DONG Junhong1,LI Wei1,YANG Zhengrui1,LIU Jiaxin2,NIE Erbing3
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摘要

3缸发动机的结构特点使得其惯性力和力矩相对于4缸机难以平衡,其曲轴系的扭转振动更难控制,从而严重影响发动机运转过程中的NVH性能。为改善发动机曲轴系扭振及整机NVH性能,采用一维与三维多体系统仿真体系对某3缸发动机扭转振动进行了分析预测,并进行试验验证,而且对3缸机的扭振特性与扭转控制进行了深入解析与研究。结果显示,虚拟样机能够精确地复现发动机的实际工作状态,其曲轴系上采用的非承载式曲轴扭振减振器使该款发动机的扭振保持在较好水平。

Abstract

To balance the inertia force and torque of a 3-cylinder engine is more difficult than a 4-cylinder engine due to its structural characteristics. The torsional vibration of crankshaft system is much more difficult to control, which seriously affects the NVH performance during the engine running. In order to improve the torsional vibration of crankshaft and the NVH performance of engine, the torsional vibration of a 3-cylinder engine was analyzed and predicted by onedimensional and threedimensional multibody simulation system, the analysis results were then verified through the experiment, and the torsional vibration characteristics and torsion control are further studied. The results show that the real working state of engine can be redescribed fairly well by the digital model and hence the nonbearing crankshaft torsional vibration damper can be used in the crankshaft system so as to keep the engine torsional vibration at a good level.

关键词

汽油机 / 多体动力学 / 曲轴 / 扭转振动

Key words

gasoline engine / multibody dynamics / crankshaft / torsional vibration

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导出引用
董俊红,李伟,杨征睿,刘佳鑫,聂尔冰. 基于虚拟样机的3缸机曲轴系扭振分析及优化研究[J]. 车用发动机. 2018, 0(2): 57-63 https://doi.org/10.3969/j.issn.1001-2222.2018.02.010
DONG Junhong,LI Wei,YANG Zhengrui,LIU Jiaxin,NIE Erbing. Torsional Vibration Analysis and Optimization of Crankshaft System for 3-Cylinder Engine Based on Virtual Prototype Technology[J]. Vehicle Engine. 2018, 0(2): 57-63 https://doi.org/10.3969/j.issn.1001-2222.2018.02.010

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