{"title":"用仿真和实验研究诊断旋转系统不对准的影响","authors":"Luay Majid Hassan, J. K. Ali","doi":"10.32441/kjps.06.02.p5","DOIUrl":null,"url":null,"abstract":" Misalignment is one of the common causes of machine vibration. Understanding and practicing the fundamentals of rotating shaft parameters is the first step in reducing unnecessary vibration, reducing maintenance costs, and increasing machine uptime. In the industrial setting, misaligned machines account for 50% of all machine downtime. The most frequent issue with rotating machinery that affects every industry is rotor shaft misalignment. Consequently, misalignment defects can be qualitatively identified using condition monitoring based on vibration measurements. The present study employs vibration measurement method by Building a model that contains suggested defects and then using it in advanced simulation programs such as Ansys. and Validation of the results by comparing them with the results of experimental methods Validation results show that both numerical and experimental data are in good match regarding amplitude and frequency. The verification results proved that the frequencies that were extracted by using finite element techniques (simulation reading) agree with the frequencies that were extracted by the experimental (experimental reading) (100%).","PeriodicalId":7451,"journal":{"name":"Al-Kitab Journal for Pure Sciences","volume":"7 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Diagnosing the Effect of Misalignment on a Rotating System using Simulation and Experimental Study\",\"authors\":\"Luay Majid Hassan, J. K. Ali\",\"doi\":\"10.32441/kjps.06.02.p5\",\"DOIUrl\":null,\"url\":null,\"abstract\":\" Misalignment is one of the common causes of machine vibration. Understanding and practicing the fundamentals of rotating shaft parameters is the first step in reducing unnecessary vibration, reducing maintenance costs, and increasing machine uptime. In the industrial setting, misaligned machines account for 50% of all machine downtime. The most frequent issue with rotating machinery that affects every industry is rotor shaft misalignment. Consequently, misalignment defects can be qualitatively identified using condition monitoring based on vibration measurements. The present study employs vibration measurement method by Building a model that contains suggested defects and then using it in advanced simulation programs such as Ansys. and Validation of the results by comparing them with the results of experimental methods Validation results show that both numerical and experimental data are in good match regarding amplitude and frequency. The verification results proved that the frequencies that were extracted by using finite element techniques (simulation reading) agree with the frequencies that were extracted by the experimental (experimental reading) (100%).\",\"PeriodicalId\":7451,\"journal\":{\"name\":\"Al-Kitab Journal for Pure Sciences\",\"volume\":\"7 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-01-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Al-Kitab Journal for Pure Sciences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.32441/kjps.06.02.p5\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Al-Kitab Journal for Pure Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.32441/kjps.06.02.p5","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Diagnosing the Effect of Misalignment on a Rotating System using Simulation and Experimental Study
Misalignment is one of the common causes of machine vibration. Understanding and practicing the fundamentals of rotating shaft parameters is the first step in reducing unnecessary vibration, reducing maintenance costs, and increasing machine uptime. In the industrial setting, misaligned machines account for 50% of all machine downtime. The most frequent issue with rotating machinery that affects every industry is rotor shaft misalignment. Consequently, misalignment defects can be qualitatively identified using condition monitoring based on vibration measurements. The present study employs vibration measurement method by Building a model that contains suggested defects and then using it in advanced simulation programs such as Ansys. and Validation of the results by comparing them with the results of experimental methods Validation results show that both numerical and experimental data are in good match regarding amplitude and frequency. The verification results proved that the frequencies that were extracted by using finite element techniques (simulation reading) agree with the frequencies that were extracted by the experimental (experimental reading) (100%).