Random vibration response analysis of longitudinal roadheader
-
摘要: 为研究纵轴式掘进机在随机截割载荷作用下的随机振动特性,利用ADAMS软件建立了纵轴式掘进机多刚体动力学模型,利用该模型模拟了掘进机轴向钻进、垂直截割、水平截割工作方式下截割头、悬臂、机体的振动特征。仿真结果表明:轴向钻进工作方式对掘进机各部件的振动影响最大,且随机振动的纵向位移响应大于横向位移响应;垂直截割和水平截割时随机振动的横向和纵向位移响应相差不大,且水平截割对机体的振动影响最小。Abstract: In order to research random vibration characteristics of longitudinal roadheader under random cutting load, a multi-rigid-body dynamics model of the longitudinal roadheader was established by use of ADAMS software. Vibration characteristics of cutting head, boom and body under axial drilling, vertical cutting and horizontal cutting were simulated. The simulation results show that axial drilling has the greatest influence on vibration of each part of the longitudinal roadheader, and vertical displacement response of random vibration is greater than horizontal displacement response of random vibration under axial drilling. There is little difference between horizontal displacement response and vertical displacement response of random vibration under vertical cutting and horizontal cutting. Horizontal cutting has the least influence on vibration of the body.
-
-
期刊类型引用(5)
1. 乔威豪,安葳鹏,赵雪菡,吕常周. 基于改进极限学习机的煤与瓦斯突出预测研究. 矿业研究与开发. 2024(05): 98-105 . 百度学术
2. 林海飞,周捷,金洪伟,李树刚,赵鹏翔,刘时豪. 基于特征选择与机器学习的煤与瓦斯突出危险等级协同预测方法. 采矿与安全工程学报. 2023(02): 361-370 . 百度学术
3. 徐耀松,程业伟. 基于SKPCA与NEAT算法的煤与瓦斯突出危险性预测. 安全与环境学报. 2021(04): 1427-1433 . 百度学术
4. 吴雅琴,李惠君,徐丹妮. 基于IPSO-Powell优化SVM的煤与瓦斯突出预测算法. 工矿自动化. 2020(04): 46-53 . 本站查看
5. 张鹏冲. 瓦斯压力在线监测预警机制应用研究. 中国矿业. 2020(S1): 131-135+154 . 百度学术
其他类型引用(6)
计量
- 文章访问数: 88
- HTML全文浏览量: 5
- PDF下载量: 13
- 被引次数: 11