Affiliation:
1. Navy Equipment Academe
2. Harbin Engineering University
3. Northwest Institute of Mechanical and Electrical Engineering
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.
Publisher
Trans Tech Publications, Ltd.
Reference10 articles.
1. QIE Yan-hui, WANG Xiu-hong, Liu Bo, BAI Li-jun. Optimal Design of Study of the Middle Pan Based on ANSYS Workbench. JOURNAL OF HEBEI UNIVERSITY OF TECHNOLOGY, Vol. 5(2010), pp.53-56.
2. Cheng Di, Wang Chengguo. Research on Multi objective Optimization Design of Wheel Profile[D]. China Academy of Railway Sciences, (2011), pp.37-40.
3. Bolchini Cristiana, Lanzi Pier Luca, Miele Antonio. A multi-objective genetic algorithm framework for design space exploration of reliable FPGA-based systems. 2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010, (2010).
4. Fan, Qin-Man. Multi-objective optimization design of vehicle transmission system based on Pareto optimal theory. 2009 2nd International Conference on Intelligent Computing Technology and Automation, ICICTA 2009, Vol. 3 (2009), pp.198-201.
5. Wong S.M. ， Hobbs R.E. ，Onof C. An adaptive response surface method for reliability analysis of structures with multiple loading sequences. Structural Safety. 4, (2005), pp.287-308.