%C Johor Bahru
%T Size optimization using normalized radial basis function and bat algorithm
%V 845
%A T.A. Lemma
%A M.H. Fakhruldin
%P 631-636
%K Ansys workbenches; Bat algorithms; Complex problems; Latin hypercube sampling; Mechanical parts; Normalized radial basis functions; Radial basis functions; Size optimization, Algorithms; Complex networks; Computer aided design; Industrial engineering; Industrial research; Optimization; Radial basis function networks, Loading
%X 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. © (2014) Trans Tech Publications, Switzerland.
%D 2014
%R 10.4028/www.scientific.net/AMR.845.631
%O cited By 0; Conference of 1st International Materials, Industrial, and Manufacturing Engineering Conference, MIMEC 2013 ; Conference Date: 4 December 2013 Through 6 December 2013; Conference Code:101778
%J Advanced Materials Research
%L scholars4451