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工程学研究

Journal of Engineering Research

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Journal of Engineering Research. 2025; 4: (6) ; 10.12208/j.jer.20250296 .

Common causes of cooling system failures in laser cutting machines and emergency maintenance strategies
激光切割机冷却系统故障的常见原因与应急维护探讨

作者: 浦江 *

大庆油田装备制造集团石油专用设备有限公司 黑龙江大庆

*通讯作者: 浦江,单位:大庆油田装备制造集团石油专用设备有限公司 黑龙江大庆;

引用本文: 浦江 激光切割机冷却系统故障的常见原因与应急维护探讨[J]. 工程学研究, 2025; 4: (6) : 156-159.
Published: 2025/6/11 11:30:36

摘要

在全球制造业向智能化、绿色化转型的背景下,激光切割机作为高精度加工核心设备,其冷却系统的可靠性直接制约着生产效率与行业低碳进程。当前,激光加工行业面临双重挑战:一方面,航空航天、新能源汽车等高端制造领域对设备加工精度与连续运行时长提出更高要求(如精密零件加工误差需控制在±0.01mm以内),冷却系统性能成为突破瓶颈的关键;另一方面,极端加工环境(如高温车间、粉尘车间)导致冷却系统故障率较常规环境提升35%,年均停机损失超百万元,传统“事后维修”模式已难以满足行业提质增效需求。在此背景下,研究冷却系统故障诊断与维护策略具有显著行业价值同时也能助力企业降低运维成本25%-30%,为激光加工行业在高端制造竞争中构建可靠性优势,加速向智能化生产模式转型提供重要支撑。

关键词: 激光切割机;故障;维护

Abstract

Amid the global manufacturing industry's shift toward intelligence and sustainability, laser cutting machines, as core equipment for high-precision machining, rely heavily on the reliability of their cooling systems to ensure production efficiency and support the industry's low-carbon transition. Currently, the laser processing sector faces dual challenges: On one hand, high-end manufacturing fields such as aerospace and new energy vehicles demand stricter requirements for machining accuracy and continuous operation (e.g., machining tolerances must be controlled within ±0.01 mm), making cooling system performance a critical bottleneck. On the other hand, extreme operating environments (e.g., high-temperature workshops, dusty workshops) increase cooling system failure rates by 35% compared to standard conditions, resulting in annual downtime losses exceeding 1 million yuan. Traditional "post-failure repair" approaches no longer meet the industry's needs for quality and efficiency improvements. In this context, research on cooling system fault diagnosis and maintenance strategies holds significant industrial value. It can help enterprises reduce operational costs by 25%-30%, build reliability advantages in high-end manufacturing competition, and accelerate the transition to intelligent production models.

Key words: Laser cutting machines; Failures; Maintenance

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