董明;许如意;陈渊;张广明;万翔;

• 1:西安科技大学机械工程学院
• 2:西安科技大学陕西省矿山机电装备智能监测重点实验室
• 3:西安科技大学能源学院
• 4:黄陵矿业集团有限责任公司技术中心

摘要(Abstract)：

随着工业4.0和中国制造2025的全面推进,为应对装备制造业发展的新形势,确保质量为先,未来对煤矿机械智能检测与评价技术的需求将会越来越多。全国煤矿兴起智能化建设的高潮,煤矿装备将向着高转速、高功率方向发展,关键零部件的无损检测技术将面临新的挑战。总结了煤矿机械轴类零件无损检测现状,指出了在役轴非拆卸检测存在的问题,主要是因为缺陷回波、结构回波和转换回波在时域上混叠造成缺陷漏检,因为界面压力改变超声波的传播行为造成缺陷定量误差。分析了超声无损检测技术的发展现状和趋势,超声检测将向着无损定量评价、大数据分析、在役检测和计算超声学的方向发展,指出了煤矿机械在役轴类零件超声非折卸检测面临的关键难题,要对在役条件下超声回波产生机理、超声信号反卷积处理和基于大数据的缺陷智能评价这3方面进行深入研究,为缺陷信号提取和缺陷准确定量分析提供理论支持,实现在役轴类零件缺陷检测和剩余寿命预测,以确保煤矿机械安全运行。

关键词(KeyWords)： 智能检测;中国制造2025;超声无损检测;煤矿机械;超声非拆卸检测

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金项目(51705418,61674121);; 中国博士后科学基金项目(2019M653696);; 陕西省自然科学基础研究计划青年项目(2019JQ-801,2019JM-024)

作者(Author): 董明;许如意;陈渊;张广明;万翔;

Email:

DOI: 10.13800/j.cnki.xakjdxxb.2020.0504

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