首页> 外文期刊>Proceedings of the Institution of Mechanical Engineers. Part L, Journal of Materials: Design and Application >Design, manufacturing, and structural optimization of a composite float using particle swarm optimization and genetic algorithm
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Design, manufacturing, and structural optimization of a composite float using particle swarm optimization and genetic algorithm

机译:基于粒子群算法和遗传算法的复合浮子设计,制造与结构优化

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In the realm of laboratory experiments dealing with solutions, float is a dynamic part of the testing device to help monitor and measure the level change of the solution, which has a significant influence on the reliability of the data recorded. Thus, the material selection, design, and structural configuration of the float need to be optimized based on the test exposure conditions, temperature, test requirements, and setup limitations, while maintaining the manufacturing to be simple and cost-effective. In the present study, a composite float design, manufacturing, and optimization have been undertaken based on the performance constraints and setup requirements. For this purpose, readily available composites were taken into account in terms of density, temperature resistance, and alkali resistance, resulting in two design alternatives such as polyvinyl chloride and low-density polyethylene. Then, the structural configurations were considered and a performance-based design was implemented. In order to minimize the length of the composite float to make it fit well into the test setup, the design problem was formulated into a constrained optimization problem with four design scenarios and optimization was conducted using genetic algorithm and particle swarm optimization. The results obtained showed that the solutions of genetic algorithm and particle swarm optimization were comparable; however, those of particle swarm optimization proved to be more accurate in case of more complex design scenario, and also faster by two to three times. The manufacturing was conducted through plastic welding and heat shrink tubing and final assembly of linear variable differential transformer and steel weight. It was found that the composite float has a pretty sensitive and accurate performance and can reliably fit and be used in the experimental setup.
机译:在处理溶液的实验室实验领域中,浮子是测试设备的动态组成部分,可帮助监视和测量溶液的液位变化,这对记录数据的可靠性有重大影响。因此,需要根据测试暴露条件,温度,测试要求和设置限制来优化浮子的材料选择,设计和结构配置,同时保持制造的简单性和成本效益。在本研究中,基于性能约束和安装要求进行了复合浮子的设计,制造和优化。为此,在密度,耐温性和耐碱性方面考虑了容易获得的复合材料,从而产生了两种设计替代方案,例如聚氯乙烯和低密度聚乙烯。然后,考虑了结构配置并实施了基于性能的设计。为了最大程度地减少复合浮子的长度以使其完全适合测试设置,将设计问题公式化为具有四个设计方案的约束优化问题,并使用遗传算法和粒子群优化进行了优化。结果表明,遗传算法和粒子群算法的解具有可比性。但是,在更复杂的设计方案中,粒子群优化的方法被证明更准确,并且速度提高了2到3倍。通过塑料焊接和热缩管以及线性可变差动变压器和钢制重量的最终组装进行制造。发现该复合浮子具有相当灵敏和准确的性能,并且可以可靠地适合并用于实验装置。

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