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首页> 外文期刊>International journal of computing science and mathematics >The optimal design of bellows using a novel discrete particle swarm optimisation algorithm
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The optimal design of bellows using a novel discrete particle swarm optimisation algorithm

机译:使用新型离散粒子群算法的波纹管优化设计

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This paper describes a successful adaptation of a discrete particle swarm optimisation (DPSO) to optimal design of bellows. EJMA standard and engineering practices-based mathematical model of unreinforced U-shaped bellows are established. An n-DPSO and scheme of constraint levels with huge value penalty are proposed to reproduce new particles and keep the best particles. Through benchmark problems, the obtained optimal results demonstrate that the approach clearly outperforms those from literatures. The bellows with diameters of 100 mm to 1,500 mm at 0.6 MPa to 1.6 MPa are designed by the approach and established mathematical model, the optimal solutions show that they are much better than those of bellows in-service and highly close to theoretical solutions. It is concluded that the established mathematical models are reasonable and the approach can be adopted in bellow design as it yields rational, reliable, time-saving and economically practical designs.
机译:本文介绍了一种成功的离散粒子群优化(DPSO)适应波纹管优化设计的方法。建立了基于EJMA标准和工程实践的无筋U型波纹管数学模型。提出了一种n-DPSO和具有巨大价值惩罚的约束水平方案,以再现新粒子并保持最佳粒子。通过基准问题,获得的最佳结果表明该方法明显优于文献中的方法。通过该方法并建立了数学模型,设计了在0.6 MPa至1.6 MPa时直径为100 mm至1,500 mm的波纹管,最佳解决方案表明,它们比在用波纹管更好,并且与理论解决方案高度接近。结论是,所建立的数学模型是合理的,并且该方法可以在波纹管设计中采用,因为它产生了合理,可靠,省时且经济实用的设计。

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