Multi-Objective Optimization of the FOFAS Based on the Workbench/Exploration

Abstract:

A certain FOFAS (framework of feeding ammunition system) has extremely important function such as fixing, supporting and leading orientation, etc. Optimization design for FOFAS is the focal point under meeting such criterions as stiffness, strength and safety. Using Workbench, this article mainly carried out parametric design to optimize feeding ammunition box under Multi-objective Genetic Algorithm (MOGA). Pareto solutions from optimization simulation showed that minimum mass of ammunition box was decreased by 6.17%, displacement deformation had little influence on the FOFAS and equivalent stress was increased by 0.35%. The optimizing results satisfied the strength, stiffness and polynomial response requirements.

• Periodical: Advanced Materials Research (Volumes 889-890)
• Pages: 101-106
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.889-890.101
• Online since: February 2014
• Authors: Liang Xiao, Ming Feng, Yang Ge, Wei Wang
• Keywords: Design of Experiment (DOE), FOFAS, MOGA, Parameter Optimization, Quadratic Polynomial Response, Strength Criterion, Workbench/Exploration

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