Abstract

In the design process of traditional ship shafting, the design quality is generally hard to get guaranteed for the lack of discipline coupling. In this paper, Multidisciplinary Design Optimization (MDO) is innovatively introduced to ensure design quality. Multidisciplinary decomposition of shafting can help to construct the MDO model of ship shafting based on multidisciplinary feasibility method. Then the sub-discipline model of shifting design can be further established, including calibration neutron discipline model, whirling vibration model, and dynamic stiffness of radial oil film bearing model. Collaborative operation is implemented by the multidisciplinary model of shifting to obtain the experimental results. Based on Radial Basis Function (RBF) neural network, the responsive surfaces of variable, bearing load, and support stiffness can be constructed, in the meanwhile the dynamic stiffness decoupling of vibration model can be obtained. Fireworks algorithm is used to establish multidisciplinary optimization of seven-dimensional design variable. The results show that MDO helps improve the quality of shafting alignment and whirling vibration. The work in present paper also provides insight for the future optimization of research methods, design quality, and engineering experiments.

Highlights

  • Shafting is an important part of the power plant, which transfers power from the main engine to the propeller contributing to the ship movement [1]

  • Shafting alignment quality and vibration characteristics are two significant indexes related to the overall quality of modern ship shafting

  • The resultant force F could be calculated from the radial force and tangential force of oil film acts on the bearing through the bearing bush, which can be expressed as: F = F +F

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Summary

Introduction

Shafting is an important part of the power plant, which transfers power from the main engine to the propeller contributing to the ship movement [1]. Lai et al [12] pointed out that the bearing stiffness can be regarded as a design variable based on the theory of rotor dynamics and sliding bearing lubrication, the alignment characteristics and whirling vibration response of shafting under linear alignment and reasonable alignment were calculated numerically. They used the linear programming to complete the comprehensive optimization of shaft alignment and whirling vibration. The multidisciplinary optimization design of shaft alignment is implemented by using fireworks algorithm

Multidisciplinary optimal design model for shafting
Sub-disciplinary model of shafting design
Whirling vibration sub-disciplinary model
Alignment sub-discipline model
Kconst
Decoupling approximate response analysis of design parameters
Objective functions
Optimization algorithm
Optimization design results
Conclusions
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