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液压压力产生的原理分析及常见失压故障诊断

刘智 刘修泉 司雪峰 田广天

机电工程技术2025,Vol.54Issue(12):92-96,5.
机电工程技术2025,Vol.54Issue(12):92-96,5.DOI:10.3969/j.issn.1009-9492.2025.00013

液压压力产生的原理分析及常见失压故障诊断

Analysis of the Principle of Hydraulic Pressure Generation and Diagnosis of Common Pressure Loss Faults

刘智 1刘修泉 2司雪峰 3田广天4

作者信息

  • 1. 温州职业技术学院智能制造学院,浙江 温州 325035
  • 2. 佛山职业技术学院,广东 佛山 528137
  • 3. 南华大学资源环境与安全工程学院,湖南 衡阳 421001
  • 4. 中南大学机电工程学院,长沙 410060
  • 折叠

摘要

Abstract

Pressure and flow rate are the two most important parameters in hydraulic transmission,which together determine the power absorbed or consumed by hydraulic components.A detailed theoretical analysis of the fundamental cause of hydraulic pressure generation based on the bulk modulus of elasticity of liquids is provided.The results show that the fundamental cause of hydraulic pressure generation is whether the oil is compressed,and if the degree of compression increases compared to before,the oil pressure will rise;if the degree of compression decreases compared to before,the oil pressure will decrease.A detailed analysis is conducted on common faults such as hydraulic cylinder seal failure and oil leakage,as well as hydraulic pump end face leakage and inability to generate pressure,using the above theory.Methods for finding and eliminating these faults are theoretically proposed.The possible causes of the pressure loss problem in the hydraulic cylinder of a mining machinery are analyzed and the above methods are used to troubleshoot.Therefore,mastering the fundamental causes of hydraulic pressure is beneficial for a deeper understanding of common faults in hydraulic components and circuits,and has positive guiding significance for further optimization of hydraulic systems.

关键词

液压传动/压力/流量/类比分析法

Key words

hydraulic transmission/pressure/flow/analogy analysis

分类

机械制造

引用本文复制引用

刘智,刘修泉,司雪峰,田广天..液压压力产生的原理分析及常见失压故障诊断[J].机电工程技术,2025,54(12):92-96,5.

基金项目

国家自然科学基金(52304227) (52304227)

湖南省自然科学基金(2023JJ40548) (2023JJ40548)

广东省普通高校重点领域专项(基于双目立体视觉的隧道掘进机器人钻臂运动控制算法研究) (基于双目立体视觉的隧道掘进机器人钻臂运动控制算法研究)

2024年温州市级基础性科研项目(G20240095) (G20240095)

机电工程技术

1009-9492

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