A Laser Interference-based Flaw Detection Device for Hydraulic Turbine Units

干扰(通信) 激光器 水轮机 水力机械 计算机科学 涡轮机 声学 电子工程 工程类 机械工程 光学 电信 物理 频道(广播)
作者
Fulin Zhou,Xiaoting Sun,He Geng,Shen Dang,Shuang Liu,Dali Ding,Zhenlei Hao,Cheng Li
标识
DOI:10.1109/aeees61147.2024.10544498
摘要

Hydroelectric turbine generator sets play a key role in power production as important energy devices. However, the complexity of its internal structure makes it susceptible to the threat of defects such as cracks, which may pose a serious risk to the safety and reliability of the equipment. Although traditional ultrasonic flaw detection methods are widely used, their application is limited when faced with problems such as high cost, low efficiency, and unclear display of defects. Therefore, this study aims to solve these problems and improve the efficiency and accuracy of defect detection through the development of a laser interference-based flaw detection device for hydro generator sets. The core idea of the device is to detect internal and external defects of the hydraulic turbine unit by analyzing the position and shape of the interference fringes using the laser interference principle. We describe in detail the system components of the device, including the laser scanning system, the flaw detection system and the data acquisition and processing system, as well as the working principle. Through experimental verification, it is proved that the device has the advantages of high precision and high efficiency, and provides a new effective tool for the operation and maintenance of hydropower plants.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
文艺谷蓝完成签到,获得积分10
刚刚
丰富的复天完成签到,获得积分10
刚刚
干净的寒天完成签到,获得积分10
刚刚
科研通AI5应助WNL采纳,获得10
1秒前
无聊的面包完成签到,获得积分10
1秒前
1秒前
JIN完成签到,获得积分10
3秒前
Amber应助老疯智采纳,获得10
3秒前
星寒完成签到 ,获得积分10
3秒前
shen完成签到,获得积分10
5秒前
尊敬的发布了新的文献求助10
6秒前
zhenzhen发布了新的文献求助10
7秒前
7秒前
眼睛大的金鱼完成签到,获得积分10
7秒前
CipherSage应助不对也没错采纳,获得10
8秒前
曹梦梦发布了新的文献求助10
9秒前
JayWu完成签到,获得积分10
9秒前
9秒前
小马甲应助BaiX采纳,获得10
9秒前
大工梧桐发布了新的文献求助10
9秒前
香蕉君达完成签到,获得积分10
9秒前
10秒前
小马甲应助愉快的定帮采纳,获得10
10秒前
科目三应助自由刺猬采纳,获得20
11秒前
futing完成签到,获得积分10
11秒前
老鼠爱吃fish完成签到,获得积分10
11秒前
xiaoou完成签到,获得积分10
11秒前
科研通AI2S应助VDC采纳,获得10
12秒前
12秒前
胡天萌完成签到 ,获得积分10
12秒前
正义的小怪兽完成签到,获得积分20
12秒前
wanci应助刘星星采纳,获得10
12秒前
完美世界应助jekyll采纳,获得10
13秒前
自然怀梦完成签到,获得积分10
13秒前
13秒前
neo完成签到,获得积分10
14秒前
完美世界应助lyn采纳,获得30
14秒前
情怀应助Jackcaosky采纳,获得200
14秒前
123发布了新的文献求助10
14秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Social media impact on athlete mental health: #RealityCheck 1020
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527469
求助须知:如何正确求助?哪些是违规求助? 3107497
关于积分的说明 9285892
捐赠科研通 2805298
什么是DOI,文献DOI怎么找? 1539865
邀请新用户注册赠送积分活动 716714
科研通“疑难数据库(出版商)”最低求助积分说明 709678