摘要
由于锻件表面不平整,且厚度不均,目前超声扫查系统普遍采用手工超声波探伤法检测锻件内部缺陷,无法应用标准的B扫描成像和C扫描成像,存在着效率低、探伤质量较差等不足之处。提出了以"厚度-灰度"超声检测为核心的基本成像过程,包括路径规划、全波采样、信号处理、波形分析和缺陷扫描成像等方法,并示例实现。该检测手段有助于促进航空锻件超声检测的智能化,提高检测的效率和可靠性。
Due to rough surface and thickness non-uniformity of forging pieces, manual ultrasonic testing has been commonly used in forging scanning system. As a result, low efficiency and poor quality are unavoidable for not being able to use the standard B-scan and C-scan imaging techniques. In this paper the ultrasonic testing methods of ＂depth-gray＂ imaging, which includes the path planning, full-wave sampling, signal processing, wave-form analysis and scanning imaging for flaw, is proposed, and thereafter illustrated with its promising effects in practical application. The approach is especially useful in promoting intelligence and automation of ultrasonic testing of aircraft forging and thereby improves the efficiency and reliability of testing.
出处
《声学技术》
CSCD
2009年第2期121-124,共4页
Technical Acoustics
关键词
超声成像
缺陷识别
锻件
ultrasonic imaging
flaw recognition
forge piece
作者简介
蒋志峰（1965-），男，浙江嘉兴人，硕士，高级工程师，研究方向为检测与机电一体化。通讯作者：蒋志峰，E—mail：jzf-hz@163．com
