Andrei-Florentin Vasiliu, Eduard-Sebastian Csukas, Paul-Iulian Virga, Daniel Comeaga
{"title":"Base plate resonance frequencies determination via a laser vibrometer: EMA, FEA, and CrossMac validation","authors":"Andrei-Florentin Vasiliu, Eduard-Sebastian Csukas, Paul-Iulian Virga, Daniel Comeaga","doi":"10.1117/12.3021348","DOIUrl":null,"url":null,"abstract":"The paper in question implicitly focusses on validating component eigen frequencies, modal shapes, and damping characteristics within a display base plate component by using experimental modal analysis (EMA) and finite element analysis (FEA). Following this, a 3D component modal simulation results obtained prior physical measurements was performed using Ansys software, extracting eigen frequencies and modal shapes. This fundamental engineering method together with a laser vibrometer monitoring system was used to investigate structures and systems dynamic behavior, understanding vibration phenomena, extracting linear elastic mechanical proprieties through direct measurements, aiding in evaluating base line design structural integrity with the purpose of optimizing the further design. Subsequently, the resonance frequencies obtained from both EMA and FEA were input into Ansys software to perform a comparative study using the Cross Modal Assurance Criterion (CrossMac) method, revealing the level of agreement between them. The comparative analysis revealed a significant correlation between the experimentally eigen frequencies obtained based on laser vibrometer monitoring and obtained by FEA, confirming the precision and utility of the CrossMac method in anticipating the modal characteristics of the tested component. The validation carried out through this method strengthens confidence in the combined approach of EMA with laser vibrometer monitoring and FEA, highlighting the importance of this combination, for a dynamical structural deeper behavior understanding and to strive towards its continual improvement to perfection.","PeriodicalId":198425,"journal":{"name":"Other Conferences","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Other Conferences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.3021348","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The paper in question implicitly focusses on validating component eigen frequencies, modal shapes, and damping characteristics within a display base plate component by using experimental modal analysis (EMA) and finite element analysis (FEA). Following this, a 3D component modal simulation results obtained prior physical measurements was performed using Ansys software, extracting eigen frequencies and modal shapes. This fundamental engineering method together with a laser vibrometer monitoring system was used to investigate structures and systems dynamic behavior, understanding vibration phenomena, extracting linear elastic mechanical proprieties through direct measurements, aiding in evaluating base line design structural integrity with the purpose of optimizing the further design. Subsequently, the resonance frequencies obtained from both EMA and FEA were input into Ansys software to perform a comparative study using the Cross Modal Assurance Criterion (CrossMac) method, revealing the level of agreement between them. The comparative analysis revealed a significant correlation between the experimentally eigen frequencies obtained based on laser vibrometer monitoring and obtained by FEA, confirming the precision and utility of the CrossMac method in anticipating the modal characteristics of the tested component. The validation carried out through this method strengthens confidence in the combined approach of EMA with laser vibrometer monitoring and FEA, highlighting the importance of this combination, for a dynamical structural deeper behavior understanding and to strive towards its continual improvement to perfection.