摘要
以某联合收获机为研究对象,基于声强测试技术,采用p-p法测试收获机表面声强,根据各测试面声强分布结果,分析识别收获机主要噪声源.测试结果表明:当收获机切割、脱粒、清选等作业机构均停止工作(即联合收获机处于非工作状态下时),各测试面的主要噪声源为发动机;而当切割、脱粒、清选等作业机构正常运行(即收获机处于工作状态时),各测试面主要噪声源均不相同,前端噪声源主要为发动机、割台装置以及中间输送装置,后端主要为脱粒装置、清选装置以及发动机排气系统,左侧面主要为割台装置与脱粒装置,右侧面主要为发动机与割台装置.
Taking a combine harvester as research object,based on the sound intensity test technology,the surface acoustic intensity of the harvester was tested by p-p method.According to the sound intensity distribution results of each test surface,the main noise sources of the harvester were analyzed and identified.The test results show that when the harvesting machine cutting,threshing,cleaning and other operating mechanisms stop working(that is,when the combine harvester is not in operation),the main noise source of each test surface is from the engine.When the cutting,threshing,cleaning and other operating institutions work normally(that is,when the harvester is under working condition),the main noise sources of each test surface are different.The front noise source is mainly from the engine,the header device and the intermediate conveying device,while the back end noise source is mainly from the threshing device,the cleaning device and the engine exhaust system.The left side noise source is mainly from the header device and the threshing device,and the right side noise source is mainly from the engine and header device.
作者
王成龙
尚昱君
徐红梅
姜威
董佳俊
WANG Chenglong;SHANG Yujun;XU Hongmei;JIANG Wei;DONG Jiajun(College of Engineering, Huazhong Agricultural University, Wuhan, Hubei 430070, China)
出处
《江苏大学学报（自然科学版）》
EI
CAS
北大核心
2020年第6期677-684,共8页
Journal of Jiangsu University：Natural Science Edition
基金
国家自然科学基金面上项目(51875230)
中央高校基本科研业务费专项基金资助项目(2662019PY082)。
关键词
联合收获机
声强测试技术
噪声识别
噪声源
优化设计
combine harvester
sound intensity testing technology
noise recognition
noise source
optimization design
