[1]张扬龙.基于铁谱分析系统的机床健康检测[J].福建工程学院学报,2014,12(03):241-245.[doi:10.3969/j.issn.1672-4348.2014.03.008]
 Zhang Yanglong.Study on machine tools state tests based on ferrography analysis system[J].Journal of FuJian University of Technology,2014,12(03):241-245.[doi:10.3969/j.issn.1672-4348.2014.03.008]
点击复制

基于铁谱分析系统的机床健康检测()
分享到:

福建工程学院学报[ISSN:2097-3853/CN:35-1351/Z]

卷:
第12卷
期数:
2014年03期
页码:
241-245
栏目:
出版日期:
2014-06-29

文章信息/Info

Title:
Study on machine tools state tests based on ferrography analysis system
作者:
张扬龙
通标标准技术服务有限公司福州分公司
Author(s):
Zhang Yanglong
Fuzhou Branch, Tongbiao Standard Technology Service Co., Ltd.
关键词:
铁谱分析技术 龙门导轨磨床 油液检测 磨损
Keywords:
ferrography gantry rail grinder oil monitoring wear
分类号:
TH17
DOI:
10.3969/j.issn.1672-4348.2014.03.008
文献标志码:
A
摘要:
对某机床厂的龙门导轨磨床MMA52160A利用铁谱分析技术的油样进行定期检测,及时地掌握龙门导轨磨床的磨损状况。通过实验与分析发现,在检测时间段内导轨磨床内部存在着正常磨损、切削磨损、滚滑复合磨损磨粒以及铁的氧化物,在数量上以正常磨损居多,其它类型磨粒数量较少,可以判断导轨磨床仍处于正常运行状态。 实验表明,铁谱分析技术可以对机床的运行状态进行预报故障;同时,可合理地确定机床的换油周期,节省油料,做到科学润滑,以延长龙门导轨磨床的使用寿命。
Abstract:
Due to wear between moving parts, wear particles are formed and would move into the lubrication system. The occurrence of the oily particles would reflect the situation of equipment failure. Ferrography was employed to make regular checks of the oil samples of the gantry rail grinder MMA52160A in certain Machine Tool Plant to determine the wear state of the machine tool to avoid abnormal wear. Several types of wear particles exist in the system, which may originate from normal wear, cutting wear, sliding and rolling composite wears or iron oxidation. The normal wear particles take the majority, indicating that the grinder is still in the normal running state. The experiment results show that ferrography can be used to predict the failures of the machine tools, to properly determine the lubrication changing period to save oil, and to extend the working life of the gantry rail grinder.

参考文献/References:

[1] 恽达明.金属切削机床机[M].北京:机械工业出版社,2010.
[2] 温诗铸.摩擦学原理[M].北京:清华大学出版社,1990.
[3] 王立东,石成江.光谱与铁谱的原理及其在设备诊断中的应用[J].哈尔滨轴承,2008,29(3):52-54.
[4] Timothy N, Mark S. Analytical ferrography applied to driveline fluid analysis[J]. SAE International Journal of Fuels and Lubricants,2009,1(1):1480-1490.
[5] 陈付梦,王静秋,张龙. 基于提升小波的铁谱图像边缘检测[J].机械科学与技术,2013,32(10):1466-1470.
[6] 张云强,张培林,任国全,等.曲波域铁谱磨粒图像特征提取方法研究[J].润滑与密封,2012, 37(8):61-65.
[7] 张冠楠,王晓丽,尹艳丽,等.磨粒对不同服役阶段润滑油的摩擦学性能影响[J]. 中国表面工程,2012,25(3):98-103.
[8] 徐为民. 运用铁谱技术监测内燃机车油润部件工作状态[J].铁道技术监督,2013,41(9):28-31.
[9] 孙占红,佟风华,林有志.铁谱分析技术在履带车辆检测中的应用[J].农业与技术,2009,129(3):185-187.
[10] 张学丽,樊瑜瑾,翁家庆,等.利用铁谱技术分析某柴油机的摩擦聚合物[J].机械管理开发,2008,23(1):53-56.
[11] 毛美娟,朱子新,王峰.机械装备油液监控技术与应用[M].北京:国防工业出版社,2006.
[12] 杨其明.磨粒分析-磨粒图谱与铁谱技术[M].北京:中国铁道出版社,2002.

更新日期/Last Update: 2014-09-05