optimization of locomotive structure by using of natural frequency and maximum stress constraints

In today's design, the system complexity and increasing demand for safer, more efficient and less costly has created new challenges in science and engineering. Locomotives is product that is designed according to customer order and technical needs of most customers, targets of companies based designer and manufacturer of locomotives always be on the path of progress, and seeks to offer products with higher technology than other competitors.
In each engineering and design problem, optimization can be applied. The objective of the op-timization is to choose the best plan among acceptable plans. Body structures quality based primarily on indicators such as natural frequency, displacement, fatigue life and the maximum stress occurring in the body takes place. Natural frequency of the various components of the system and adapt them to each other in order to avoid the phenomenon of resonance is impor-tant.In this study, body structures locomotive ER 24 has been studied. A combination of particle swarm algorithm (PSO) and artificial neural networks is proposed to find the optimal weight of structures subject to multiple natural frequency constraints. Optimization of locomotive's structure has been done with an emphasis on maintaining locomotive abilities in Static and dynamic field. The results indicate that the use of optimization techniques in the design process is powerful and effective tool for identifying and improving the main dynamic characteristics of structures and also op-timizing performance in stress, noise & vibration field.