I Beam Crane - Design Optimization
CHALLENGE - This work focuses on the optimization of a crane made to raise and displace heavy experimental cells, designed for research of shock waves. Previously, any cell changes were done manually, restricting system size and increasing the likelihood of accidents. Objectives are a minimal beam weight and minimal thickness.
SOLUTION - This project was run during the design optimizing course in a mechanical engineering B.Sc. at Ben-Gurion University in Israel. The optimization problem consists of two cost functions which directly depends on the design variables; there are two discrete variables. Therefore we a genetic algorithm was chosen to solve the problem. The optimization methodology was performed with modeFRONTIER software, using genetic algorithm MOGA-II with Latin hypercube sampling. A simulation was run using the sampling for best results.
BENEFITS - The Pareto fronts for different weights do not cross each other, so there is no one optimal solution for different weights. The chosen solution from modeFRONTIER for I Beam is an AISI 1020, 193.2mm high, 174mm wide structure.