Size Optimization using Normalized Radial Basis Function and Bat Algorithm

被引：0

作者：

Alemu, Lemma Tamiru ^{[1
]}

Hashim, Fakhruldin Mohd ^{[1
]}

机构：

[1] Univ Teknol PETRONA, Deep Water Technol Res Cluster, Seri Iskandar 31750, Perak, Malaysia

来源：

MATERIALS, INDUSTRIAL, AND MANUFACTURING ENGINEERING RESEARCH ADVANCES 1.1 | 2014年 / 845卷

关键词：

Radial Basis Function; Bat Algorithm; Size Optimization;

D O I：

10.4028/www.scientific.net/AMR.845.631

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

This paper is intended to demonstrate the use of normalized radial basis function (NRBF) network and Bat Algorithm (BA) for size optimization of a mechanical part under static loading. The data needed for developing the NRBF model is generated simulating a parameterized CAD model in ANSYS Workbench 14.5. Plausible input data for the CAD model is created using Latin Hypercube Sampling (LHS) method. A torque arm is considered to proof the concept. The comparison between the result obtained from the proposed method and the solution from ANSYS Workbench itself shows that, the NRBF-BA model is indeed effective in providing a reasonable solution for a moderately complex problem.

引用

页码：631 / 636

页数：6

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