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Information Journal Paper

Title

Optimization of Locomotive Body Structures by Natural Frequency and Maximum Stress Constraints

Pages

  23-33

Abstract

 In today's design, the complexity of system and increasing demand for safer, more efficient and less costly system has created new challenges in science and engineering. Body structures quality based primarily on indicators such as natural frequency, fatigue life and the maximum stress. In the design process, natural frequency identification of the various system's components is important in order to avoid of resonance. In this study, body structures of ER24 Locomotive has been studied. A combination of Particle Swarm algorithm (PSO) and Artificial Neural Networks is proposed to find the optimal weight of body structures and Satisfying the 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 technique in the design process is a powerful and effective tool for improving the main characteristics of structures such as stress, noise & vibration.

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    APA: Copy

    GHAMAMI, M., SHARIAT PANAHI, M., & MONDALI, M.. (2018). Optimization of Locomotive Body Structures by Natural Frequency and Maximum Stress Constraints. JOURNAL OF SOLID AND FLUID MECHANICS, 8(1 ), 23-33. SID. https://sid.ir/paper/390583/en

    Vancouver: Copy

    GHAMAMI M., SHARIAT PANAHI M., MONDALI M.. Optimization of Locomotive Body Structures by Natural Frequency and Maximum Stress Constraints. JOURNAL OF SOLID AND FLUID MECHANICS[Internet]. 2018;8(1 ):23-33. Available from: https://sid.ir/paper/390583/en

    IEEE: Copy

    M. GHAMAMI, M. SHARIAT PANAHI, and M. MONDALI, “Optimization of Locomotive Body Structures by Natural Frequency and Maximum Stress Constraints,” JOURNAL OF SOLID AND FLUID MECHANICS, vol. 8, no. 1 , pp. 23–33, 2018, [Online]. Available: https://sid.ir/paper/390583/en

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