{"title":"Application of Grey Relational Analysis to the Influential Factors on Natural Frequencies of Helical Springs","authors":"L. Tsai, Horng-Yith Liou, Guang-Fu Jiang","doi":"10.30016/JGS.200512.0005","DOIUrl":null,"url":null,"abstract":"This paper is aimed at the utilization of grey relational analysis model to investigate the influential factors, i.e., the helical angle, coil diameter, wire diameter, and the number of active coils, on the dynamic properties on the dynamic properties of a helical spring during manufacturing. The natural frequencies are selected as the quality targets in the present research. With a view to bypassing the tedious laboratory task in measuring the natural frequencies related to these 81 combinations of those influential factors, a finite-element model with the aid of ANSYS package is established for the computer simulation instead. Of the four significant variables under investigation, the helical angle is found to be the most influential one for the first four natural frequencies, two for longitudinal modes, and two for bending modes, respectively. The method propounded in this paper may serve the purpose of providing the researchers with an alternative approach to some other related applications.","PeriodicalId":50187,"journal":{"name":"Journal of Grey System","volume":"8 1","pages":"141-155"},"PeriodicalIF":1.0000,"publicationDate":"2005-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Grey System","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.30016/JGS.200512.0005","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"MATHEMATICS, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 1
Abstract
This paper is aimed at the utilization of grey relational analysis model to investigate the influential factors, i.e., the helical angle, coil diameter, wire diameter, and the number of active coils, on the dynamic properties on the dynamic properties of a helical spring during manufacturing. The natural frequencies are selected as the quality targets in the present research. With a view to bypassing the tedious laboratory task in measuring the natural frequencies related to these 81 combinations of those influential factors, a finite-element model with the aid of ANSYS package is established for the computer simulation instead. Of the four significant variables under investigation, the helical angle is found to be the most influential one for the first four natural frequencies, two for longitudinal modes, and two for bending modes, respectively. The method propounded in this paper may serve the purpose of providing the researchers with an alternative approach to some other related applications.
期刊介绍:
The journal is a forum of the highest professional quality for both scientists and practitioners to exchange ideas and publish new discoveries on a vast array of topics and issues in grey system. It aims to bring forth anything from either innovative to known theories or practical applications in grey system. It provides everyone opportunities to present, criticize, and discuss their findings and ideas with others. A number of areas of particular interest (but not limited) are listed as follows:
Grey mathematics-
Generator of Grey Sequences-
Grey Incidence Analysis Models-
Grey Clustering Evaluation Models-
Grey Prediction Models-
Grey Decision Making Models-
Grey Programming Models-
Grey Input and Output Models-
Grey Control-
Grey Game-
Practical Applications.