Digital tools for material selection

摘要：

Finite Element Analysis (FEA) of functionally material objects are generally regarded as separate domains of interest in CAD and Computer-Aided Engineering (CAE) community. With CAD modeling tools only,the end users are still uncertain whether or not the designed objects can really meet the functional requirements in terms of structural, thermal or other prescribed properties. Considering the main factors with important influence on material paramaters, the support vector machine (SVM) model is established, which can really meet the functional requirements in terms of structural, thermal or other prescribed properties. Taking surving data investigating the relationships that exist between the structures and properties of materials, as samples for training and learning, some functions are obtained in identification of optimized model. It is shown that the identification model of SVM analysis is an effective method with high prediction accuracy and could be used in practice.

关键词： Index Terms—Support vector machine Finite element meshes Material paramaters CAD modeling

作者: Yan-fang Yin

作者单位: School of Mechanical Engineering Wuhan Polytechnic University Wuhan, China

会议类型: 国际会议

会议名称: 2010 International Conference on Educational and Network Technology(2010教育与网络技术国际会议 ICENT 2010)

会议地点: 秦皇岛

会议语种:英文

页码: 144-146

在线出版日期: 2010-06-25（万方平台首次上网日期，不代表论文的发表时间）